diff --git a/benchmarks/config/config.json b/benchmarks/config/config.json
new file mode 100644
index 0000000000000000000000000000000000000000..db65fbb1f8a6e907356bf8d09149458d147b63e4
--- /dev/null
+++ b/benchmarks/config/config.json
@@ -0,0 +1,12 @@
+{
+ "compiler": {
+ "os": "linux",
+ "command": "icc",
+ "flags": "-Ofast -DNDEBUG -fPIC -march=native -fopenmp -std=c11",
+ "restrict_qualifier": "__restrict__"
+ },
+ "cache": {
+ "object_cache": "/home/hpc/ihpc/ihpc030h/.cache/pystencils/objectcache",
+ "clear_cache_on_start": false
+ }
+}
diff --git a/benchmarks/copy/build.sh b/benchmarks/copy/build.sh
new file mode 100755
index 0000000000000000000000000000000000000000..60f2a1496e3fab2c521dd2c6ebbe12d01486264b
--- /dev/null
+++ b/benchmarks/copy/build.sh
@@ -0,0 +1,24 @@
+#!/bin/sh
+
+CC=gcc
+ARMFLAGS="-mcpu=thunderx2t99 -fopenmp-simd -fno-builtin -funroll-loops"
+X86FLAGS=" -fargument-noalias -funroll-loops -fno-builtin"
+
+# Compile timing.c
+$CC -O3 -c timing.c
+
+
+# Compile for SKL
+$CC $X86FLAGS -march=skylake-avx512 -Ofast -c copy.c
+$CC $X86FLAGS -march=skylake-avx512 -Ofast -S copy.c -o copy.s.skl.s
+$CC copy.o timing.o -lm -o a.copy.skl
+
+# Compile for HSW
+$CC $X86FLAGS -march=haswell -O3 -c copy.c
+$CC $X86FLAGS -march=haswell -O3 -S copy.c -o copy.s.hsw.s
+$CC copy.o timing.o -lm -o a.copy.hsw
+
+# Compile for IVB
+$CC $X86FLAGS -march=ivybridge -O3 -c copy.c
+$CC $X86FLAGS -march=ivybridge -O3 -S copy.c -o copy.s.ivb.s
+$CC copy.o timing.o -lm -o a.copy.ivb
diff --git a/benchmarks/copy/clean.sh b/benchmarks/copy/clean.sh
new file mode 100755
index 0000000000000000000000000000000000000000..66fcaf777346c6edd96259776fa5834215535ae6
--- /dev/null
+++ b/benchmarks/copy/clean.sh
@@ -0,0 +1,6 @@
+#!/bin/bash
+
+rm -f a.copy.*
+rm -f copy.s.*
+rm -f copy.o
+rm -f timing.o
diff --git a/benchmarks/copy/copy.c b/benchmarks/copy/copy.c
new file mode 100644
index 0000000000000000000000000000000000000000..2351adca8c910f4613900f8fdccb09b80821eb9b
--- /dev/null
+++ b/benchmarks/copy/copy.c
@@ -0,0 +1,74 @@
+#include <stdio.h>
+#include "timing.h"
+#include <stdlib.h>
+#include <math.h>
+#include <unistd.h>
+#include <string.h>
+
+void dummy(double*);
+
+void copy(long size) {
+ double * restrict a;
+ double * restrict b;
+ double * restrict tmp;
+ a = aligned_alloc(64, size*sizeof(double));
+ b = aligned_alloc(64, size*sizeof(double));
+
+
+ for(int i=0; i<size; ++i){
+ a[i] = 0.000000123123123123;
+ }
+
+ double wcs, wce, ct, runtime;
+ int repeat = 32;
+ for(runtime=0.0; runtime < 2.0; repeat *= 2) {
+ timing(&wcs, &ct);
+ for(int i=0; i<repeat; ++i) {
+ if(a[0] < 0) dummy(a);
+
+ //#pragma omp simd // enabled O3-like optimizations with O1
+ #pragma vector aligned
+ #pragma omp parallel for schedule(static)
+ for(long i=0; i < size; ++i){
+ b[i] = a[i];
+ }
+
+ tmp = a;
+ a = b;
+ b = tmp;
+ }
+ timing(&wce, &ct);
+ runtime = wce-wcs;
+ }
+ repeat /= 2;
+ printf("%12.1f | %11.8f | %9.3f | %7.1f | %7.1f | %6d | %4ld \n",
+ (double)size*sizeof(double)/1000.0,
+ runtime,
+ 8.0*(double)size*(double)repeat*1e-6/runtime,
+ 32.0*(double)repeat*(double)size/runtime/1024.0/1024.0,
+ (double)repeat*(double)size/runtime/1000.0/1000.0,
+ repeat,
+ size
+ );
+
+ free(a); free(b);
+}
+
+
+int main(int argc, char *argv[])
+{
+ printf("COPY b[i] = a[i], 16 byte/it, 0 Flop/it\n");
+ printf("Size (KByte) | runtime | MFlop/s | MB/s | MLUP/s | repeat | size\n");
+ int size;
+ // 25-95
+ for(int i=25; i<=95; ++i) {
+ if( i <= 40) {
+ size = (int)pow(1.3, i);
+ } else {
+ size = (int)pow(1.25, i);
+ }
+ size = (size/64)*64;
+ copy(size);
+ }
+ return 0;
+}
diff --git a/benchmarks/copy/results/out.copy.hsw b/benchmarks/copy/results/out.copy.hsw
new file mode 100644
index 0000000000000000000000000000000000000000..84de8faf9fb1264c24d07fccbae4b253cc40b118
--- /dev/null
+++ b/benchmarks/copy/results/out.copy.hsw
@@ -0,0 +1,73 @@
+COPY b[i] = a[i], 16 byte/it, 0 Flop/it
+Size (KByte) | runtime | MFlop/s | MB/s | MLUP/s | repeat | size
+ 5.6 | 2.67307711 | 70697.011 | 269687.7 | 8837.1 | 33554432 | 704
+ 7.2 | 3.37894416 | 71181.457 | 271535.7 | 8897.7 | 33554432 | 896
+ 9.2 | 2.25411510 | 68594.023 | 261665.4 | 8574.3 | 16777216 | 1152
+ 12.3 | 3.00619006 | 68577.976 | 261604.2 | 8572.2 | 16777216 | 1536
+ 15.9 | 3.81385398 | 69821.229 | 266346.9 | 8727.7 | 16777216 | 1984
+ 20.5 | 2.33323288 | 18407.795 | 70220.2 | 2301.0 | 2097152 | 2560
+ 27.1 | 3.14568806 | 18090.896 | 69011.3 | 2261.4 | 2097152 | 3392
+ 35.3 | 2.03855395 | 18171.750 | 69319.7 | 2271.5 | 1048576 | 4416
+ 45.6 | 2.63785696 | 18113.761 | 69098.5 | 2264.2 | 1048576 | 5696
+ 59.4 | 3.39013410 | 18370.077 | 70076.3 | 2296.3 | 1048576 | 7424
+ 74.8 | 2.18155789 | 17964.949 | 68530.8 | 2245.6 | 524288 | 9344
+ 77.3 | 2.22583485 | 18210.585 | 69467.9 | 2276.3 | 524288 | 9664
+ 93.7 | 2.74765396 | 17878.412 | 68200.7 | 2234.8 | 524288 | 11712
+ 100.9 | 3.01010394 | 17568.093 | 67017.0 | 2196.0 | 524288 | 12608
+ 117.2 | 3.94125509 | 15596.991 | 59497.8 | 1949.6 | 524288 | 14656
+ 131.1 | 2.35280681 | 14603.723 | 55708.8 | 1825.5 | 262144 | 16384
+ 146.4 | 2.49139404 | 15407.547 | 58775.1 | 1925.9 | 262144 | 18304
+ 170.5 | 3.67578483 | 12159.173 | 46383.6 | 1519.9 | 262144 | 21312
+ 183.3 | 3.82256794 | 12570.070 | 47951.0 | 1571.3 | 262144 | 22912
+ 222.2 | 2.39565802 | 12157.514 | 46377.2 | 1519.7 | 131072 | 27776
+ 229.4 | 2.56554103 | 11718.687 | 44703.2 | 1464.8 | 131072 | 28672
+ 286.7 | 3.30752802 | 11362.251 | 43343.5 | 1420.3 | 131072 | 35840
+ 288.8 | 3.31905198 | 11403.678 | 43501.6 | 1425.5 | 131072 | 36096
+ 358.4 | 2.06578803 | 11370.045 | 43373.3 | 1421.3 | 65536 | 44800
+ 448.0 | 2.58403492 | 11362.125 | 43343.1 | 1420.3 | 65536 | 56000
+ 560.1 | 3.23024297 | 11364.021 | 43350.3 | 1420.5 | 65536 | 70016
+ 700.4 | 2.01982403 | 11362.986 | 43346.4 | 1420.4 | 32768 | 87552
+ 875.5 | 2.52443910 | 11364.520 | 43352.2 | 1420.6 | 32768 | 109440
+ 1094.7 | 3.15734601 | 11360.709 | 43337.7 | 1420.1 | 32768 | 136832
+ 1368.1 | 3.94515300 | 11362.987 | 43346.4 | 1420.4 | 32768 | 171008
+ 1710.1 | 2.46614099 | 11361.050 | 43339.0 | 1420.1 | 16384 | 213760
+ 2138.1 | 3.08933306 | 11339.285 | 43255.9 | 1417.4 | 16384 | 267264
+ 2672.6 | 3.85407186 | 11361.629 | 43341.2 | 1420.2 | 16384 | 334080
+ 3340.8 | 2.41624308 | 11326.606 | 43207.6 | 1415.8 | 8192 | 417600
+ 4175.9 | 3.01756287 | 11336.547 | 43245.5 | 1417.1 | 8192 | 521984
+ 5219.8 | 3.77095199 | 11339.558 | 43257.0 | 1417.4 | 8192 | 652480
+ 6524.9 | 2.39886308 | 11141.155 | 42500.1 | 1392.6 | 4096 | 815616
+ 8156.2 | 3.29839110 | 10128.463 | 38637.0 | 1266.1 | 4096 | 1019520
+ 10195.5 | 2.88422394 | 7239.484 | 27616.4 | 904.9 | 2048 | 1274432
+ 12744.7 | 2.26356602 | 5765.494 | 21993.6 | 720.7 | 1024 | 1593088
+ 15930.9 | 2.98102617 | 5472.351 | 20875.4 | 684.0 | 1024 | 1991360
+ 19913.2 | 3.74652290 | 5442.682 | 20762.2 | 680.3 | 1024 | 2489152
+ 24891.9 | 2.35192299 | 5418.823 | 20671.2 | 677.4 | 512 | 3111488
+ 31114.8 | 2.93246603 | 5432.545 | 20723.5 | 679.1 | 512 | 3889344
+ 38893.6 | 3.64562201 | 5462.307 | 20837.0 | 682.8 | 512 | 4861696
+ 48617.0 | 2.28044295 | 5457.686 | 20819.4 | 682.2 | 256 | 6077120
+ 60771.3 | 2.83332801 | 5490.879 | 20946.0 | 686.4 | 256 | 7596416
+ 75964.4 | 3.59273601 | 5412.836 | 20648.3 | 676.6 | 256 | 9495552
+ 94955.5 | 2.23314309 | 5442.690 | 20762.2 | 680.3 | 128 | 11869440
+ 118694.4 | 2.80192494 | 5422.302 | 20684.4 | 677.8 | 128 | 14836800
+ 148367.9 | 3.48113298 | 5455.433 | 20810.8 | 681.9 | 128 | 18545984
+ 185460.2 | 2.18165803 | 5440.566 | 20754.1 | 680.1 | 64 | 23182528
+ 231824.9 | 2.73892713 | 5417.009 | 20664.3 | 677.1 | 64 | 28978112
+ 289781.2 | 3.41488385 | 5430.931 | 20717.4 | 678.9 | 64 | 36222656
+ 362226.7 | 2.22380686 | 5212.347 | 19883.5 | 651.5 | 32 | 45278336
+ 452783.6 | 2.76933098 | 5231.977 | 19958.4 | 654.0 | 32 | 56597952
+ 565979.6 | 3.44294810 | 5260.419 | 20066.9 | 657.6 | 32 | 70747456
+ 707474.4 | 4.31620598 | 5245.158 | 20008.7 | 655.6 | 32 | 88434304
+ 884343.3 | 5.39312291 | 5247.235 | 20016.6 | 655.9 | 32 | 110542912
+ 1105429.5 | 6.75115609 | 5239.657 | 19987.7 | 655.0 | 32 | 138178688
+ 1381786.6 | 8.44252610 | 5237.434 | 19979.2 | 654.7 | 32 | 172723328
+ 1727233.5 | 10.56710601 | 5230.521 | 19952.9 | 653.8 | 32 | 215904192
+ 2159042.0 | 13.08003211 | 5282.047 | 20149.4 | 660.3 | 32 | 269880256
+ 2698802.2 | 16.39192295 | 5268.550 | 20097.9 | 658.6 | 32 | 337350272
+ 3373503.0 | 20.69668889 | 5215.911 | 19897.1 | 652.0 | 32 | 421687872
+ 4216879.1 | 26.19448304 | 5151.471 | 19651.3 | 643.9 | 32 | 527109888
+ 5271098.9 | 32.22887588 | 5233.666 | 19964.9 | 654.2 | 32 | 658887360
+ 6588873.2 | 39.90079713 | 5284.204 | 20157.6 | 660.5 | 32 | 823609152
+ 8236091.9 | 50.62682390 | 5205.836 | 19858.7 | 650.7 | 32 | 1029511488
+ 10295114.8 | 66.18278503 | 4977.785 | 18988.7 | 622.2 | 32 | 1286889344
+ 12868893.7 | 86.13809013 | 4780.749 | 18237.1 | 597.6 | 32 | 1608611712
diff --git a/benchmarks/copy/results/out.copy.ivb b/benchmarks/copy/results/out.copy.ivb
new file mode 100644
index 0000000000000000000000000000000000000000..7d201a10ad46802bca05e2ad2a18b46131b726b4
--- /dev/null
+++ b/benchmarks/copy/results/out.copy.ivb
@@ -0,0 +1,73 @@
+COPY b[i] = a[i], 16 byte/it, 0 Flop/it
+Size (KByte) | runtime | MFlop/s | MB/s | MLUP/s | repeat | size
+ 5.6 | 2.74362493 | 34439.576 | 131376.6 | 4304.9 | 16777216 | 704
+ 7.2 | 3.47728586 | 34584.181 | 131928.2 | 4323.0 | 16777216 | 896
+ 9.2 | 2.29298401 | 33715.635 | 128614.9 | 4214.5 | 8388608 | 1152
+ 12.3 | 3.26097393 | 31609.948 | 120582.4 | 3951.2 | 8388608 | 1536
+ 15.9 | 3.88529491 | 34268.695 | 130724.7 | 4283.6 | 8388608 | 1984
+ 20.5 | 2.78853488 | 15402.236 | 58754.9 | 1925.3 | 2097152 | 2560
+ 27.1 | 3.78665400 | 15028.655 | 57329.8 | 1878.6 | 2097152 | 3392
+ 35.3 | 2.45238113 | 15105.357 | 57622.4 | 1888.2 | 1048576 | 4416
+ 45.6 | 3.15658617 | 15137.084 | 57743.4 | 1892.1 | 1048576 | 5696
+ 59.4 | 2.01748395 | 15434.330 | 58877.3 | 1929.3 | 524288 | 7424
+ 74.8 | 2.60967994 | 15017.771 | 57288.3 | 1877.2 | 524288 | 9344
+ 77.3 | 2.78718591 | 14542.896 | 55476.7 | 1817.9 | 524288 | 9664
+ 93.7 | 3.50938797 | 13997.794 | 53397.3 | 1749.7 | 524288 | 11712
+ 100.9 | 3.76809502 | 14034.090 | 53535.8 | 1754.3 | 524288 | 12608
+ 117.2 | 2.29294705 | 13404.522 | 51134.2 | 1675.6 | 262144 | 14656
+ 131.1 | 2.57975507 | 13318.992 | 50807.9 | 1664.9 | 262144 | 16384
+ 146.4 | 3.02592683 | 12685.789 | 48392.4 | 1585.7 | 262144 | 18304
+ 170.5 | 3.71225309 | 12039.724 | 45927.9 | 1505.0 | 262144 | 21312
+ 183.3 | 2.17296815 | 11056.293 | 42176.4 | 1382.0 | 131072 | 22912
+ 222.2 | 3.10106802 | 9392.005 | 35827.7 | 1174.0 | 131072 | 27776
+ 229.4 | 3.28877902 | 9141.621 | 34872.5 | 1142.7 | 131072 | 28672
+ 286.7 | 2.08392000 | 9016.892 | 34396.7 | 1127.1 | 65536 | 35840
+ 288.8 | 2.08808017 | 9063.205 | 34573.4 | 1132.9 | 65536 | 36096
+ 358.4 | 2.59581494 | 9048.450 | 34517.1 | 1131.1 | 65536 | 44800
+ 448.0 | 3.24463201 | 9048.831 | 34518.6 | 1131.1 | 65536 | 56000
+ 560.1 | 2.02827001 | 9049.226 | 34520.1 | 1131.2 | 32768 | 70016
+ 700.4 | 2.53634191 | 9048.950 | 34519.0 | 1131.1 | 32768 | 87552
+ 875.5 | 3.17099905 | 9047.319 | 34512.8 | 1130.9 | 32768 | 109440
+ 1094.7 | 3.97460413 | 9024.720 | 34426.6 | 1128.1 | 32768 | 136832
+ 1368.1 | 2.50004411 | 8965.586 | 34201.0 | 1120.7 | 16384 | 171008
+ 1710.1 | 3.12586594 | 8963.261 | 34192.1 | 1120.4 | 16384 | 213760
+ 2138.1 | 3.90748596 | 8965.055 | 34199.0 | 1120.6 | 16384 | 267264
+ 2672.6 | 2.43022895 | 9009.138 | 34367.1 | 1126.1 | 8192 | 334080
+ 3340.8 | 3.03376508 | 9021.079 | 34412.7 | 1127.6 | 8192 | 417600
+ 4175.9 | 3.79373312 | 9017.172 | 34397.8 | 1127.1 | 8192 | 521984
+ 5219.8 | 2.36844087 | 9027.232 | 34436.2 | 1128.4 | 4096 | 652480
+ 6524.9 | 2.95556712 | 9042.632 | 34494.9 | 1130.3 | 4096 | 815616
+ 8156.2 | 3.71996999 | 8980.619 | 34258.3 | 1122.6 | 4096 | 1019520
+ 10195.5 | 2.42400408 | 8613.968 | 32859.7 | 1076.7 | 2048 | 1274432
+ 12744.7 | 3.70229912 | 7049.985 | 26893.6 | 881.2 | 2048 | 1593088
+ 15930.9 | 3.05246997 | 5344.269 | 20386.8 | 668.0 | 1024 | 1991360
+ 19913.2 | 2.13063908 | 4785.215 | 18254.1 | 598.2 | 512 | 2489152
+ 24891.9 | 2.76694512 | 4606.038 | 17570.6 | 575.8 | 512 | 3111488
+ 31114.8 | 3.38911700 | 4700.562 | 17931.2 | 587.6 | 512 | 3889344
+ 38893.6 | 2.12151504 | 4693.228 | 17903.2 | 586.7 | 256 | 4861696
+ 48617.0 | 2.71741080 | 4580.074 | 17471.6 | 572.5 | 256 | 6077120
+ 60771.3 | 3.30090308 | 4713.092 | 17979.0 | 589.1 | 256 | 7596416
+ 75964.4 | 2.07672310 | 4682.110 | 17860.8 | 585.3 | 128 | 9495552
+ 94955.5 | 2.59514308 | 4683.482 | 17866.1 | 585.4 | 128 | 11869440
+ 118694.4 | 3.24267220 | 4685.297 | 17873.0 | 585.7 | 128 | 14836800
+ 148367.9 | 2.07651997 | 4572.816 | 17443.9 | 571.6 | 64 | 18545984
+ 185460.2 | 2.56732512 | 4623.277 | 17636.4 | 577.9 | 64 | 23182528
+ 231824.9 | 3.16727090 | 4684.409 | 17869.6 | 585.6 | 64 | 28978112
+ 289781.2 | 2.08523107 | 4446.989 | 16963.9 | 555.9 | 32 | 36222656
+ 362226.7 | 2.54679108 | 4551.317 | 17361.9 | 568.9 | 32 | 45278336
+ 452783.6 | 3.18031812 | 4555.857 | 17379.2 | 569.5 | 32 | 56597952
+ 565979.6 | 4.07805896 | 4441.169 | 16941.7 | 555.1 | 32 | 70747456
+ 707474.4 | 4.95661211 | 4567.471 | 17423.5 | 570.9 | 32 | 88434304
+ 884343.3 | 6.32752609 | 4472.362 | 17060.7 | 559.0 | 32 | 110542912
+ 1105429.5 | 7.80907607 | 4529.825 | 17279.9 | 566.2 | 32 | 138178688
+ 1381786.6 | 9.73703694 | 4541.132 | 17323.0 | 567.6 | 32 | 172723328
+ 1727233.5 | 12.07400417 | 4577.725 | 17462.6 | 572.2 | 32 | 215904192
+ 2159042.0 | 15.18957591 | 4548.471 | 17351.0 | 568.6 | 32 | 269880256
+ 2698802.2 | 18.86034799 | 4579.007 | 17467.5 | 572.4 | 32 | 337350272
+ 3373503.0 | 23.83696389 | 4528.769 | 17275.9 | 566.1 | 32 | 421687872
+ 4216879.1 | 29.46909595 | 4579.039 | 17467.6 | 572.4 | 32 | 527109888
+ 5271098.9 | 36.75355792 | 4589.356 | 17507.0 | 573.7 | 32 | 658887360
+ 6588873.2 | 46.68279314 | 4516.524 | 17229.2 | 564.6 | 32 | 823609152
+ 8236091.9 | 57.60187411 | 4575.458 | 17454.0 | 571.9 | 32 | 1029511488
+ 10295114.8 | 71.86370206 | 4584.285 | 17487.7 | 573.0 | 32 | 1286889344
+ 12868893.7 | 91.67534995 | 4491.988 | 17135.6 | 561.5 | 32 | 1608611712
diff --git a/benchmarks/copy/results/out.copy.skl b/benchmarks/copy/results/out.copy.skl
new file mode 100644
index 0000000000000000000000000000000000000000..02ab80e0e1ee65b812763d1c1aed843c042f198e
--- /dev/null
+++ b/benchmarks/copy/results/out.copy.skl
@@ -0,0 +1,73 @@
+COPY b[i] = a[i], 16 byte/it, 0 Flop/it
+Size (KByte) | runtime | MFlop/s | MB/s | MLUP/s | repeat | size
+ 5.6 | 3.08191299 | 122637.181 | 467823.7 | 15329.6 | 67108864 | 704
+ 7.2 | 3.69210696 | 130287.758 | 497008.4 | 16286.0 | 67108864 | 896
+ 9.2 | 2.55285501 | 121134.042 | 462089.7 | 15141.8 | 33554432 | 1152
+ 12.3 | 3.29275203 | 125219.530 | 477674.6 | 15652.4 | 33554432 | 1536
+ 15.9 | 2.10585594 | 126451.182 | 482373.0 | 15806.4 | 16777216 | 1984
+ 20.5 | 2.39175296 | 35914.807 | 137004.1 | 4489.4 | 4194304 | 2560
+ 27.1 | 3.45209098 | 32970.346 | 125771.9 | 4121.3 | 4194304 | 3392
+ 35.3 | 2.22132087 | 33353.212 | 127232.4 | 4169.2 | 2097152 | 4416
+ 45.6 | 2.82396698 | 33839.993 | 129089.3 | 4230.0 | 2097152 | 5696
+ 59.4 | 3.56987810 | 34890.281 | 133095.9 | 4361.3 | 2097152 | 7424
+ 74.8 | 2.39221692 | 32765.905 | 124992.0 | 4095.7 | 1048576 | 9344
+ 77.3 | 2.36496782 | 34278.482 | 130762.0 | 4284.8 | 1048576 | 9664
+ 93.7 | 2.84613514 | 34519.576 | 131681.7 | 4314.9 | 1048576 | 11712
+ 100.9 | 3.11853004 | 33914.559 | 129373.8 | 4239.3 | 1048576 | 12608
+ 117.2 | 3.62759495 | 33891.170 | 129284.6 | 4236.4 | 1048576 | 14656
+ 131.1 | 2.02053189 | 34010.588 | 129740.1 | 4251.3 | 524288 | 16384
+ 146.4 | 2.36161399 | 32508.505 | 124010.1 | 4063.6 | 524288 | 18304
+ 170.5 | 2.53340197 | 35284.178 | 134598.5 | 4410.5 | 524288 | 21312
+ 183.3 | 2.93269801 | 32768.424 | 125001.6 | 4096.1 | 524288 | 22912
+ 222.2 | 3.28996301 | 35411.033 | 135082.4 | 4426.4 | 524288 | 27776
+ 229.4 | 3.43761706 | 34983.270 | 133450.6 | 4372.9 | 524288 | 28672
+ 286.7 | 2.15969610 | 34802.085 | 132759.4 | 4350.3 | 262144 | 35840
+ 288.8 | 2.15335703 | 35153.854 | 134101.3 | 4394.2 | 262144 | 36096
+ 358.4 | 2.75105906 | 34151.361 | 130277.1 | 4268.9 | 262144 | 44800
+ 448.0 | 2.33018994 | 25199.772 | 96129.5 | 3150.0 | 131072 | 56000
+ 560.1 | 3.65149593 | 20106.033 | 76698.4 | 2513.3 | 131072 | 70016
+ 700.4 | 3.31449103 | 13849.023 | 52829.8 | 1731.1 | 65536 | 87552
+ 875.5 | 2.37142801 | 12097.791 | 46149.4 | 1512.2 | 32768 | 109440
+ 1094.7 | 3.06186199 | 11714.992 | 44689.1 | 1464.4 | 32768 | 136832
+ 1368.1 | 3.83201003 | 11698.487 | 44626.2 | 1462.3 | 32768 | 171008
+ 1710.1 | 2.39518213 | 11697.628 | 44622.9 | 1462.2 | 16384 | 213760
+ 2138.1 | 2.99354601 | 11702.117 | 44640.0 | 1462.8 | 16384 | 267264
+ 2672.6 | 3.74240398 | 11700.643 | 44634.4 | 1462.6 | 16384 | 334080
+ 3340.8 | 2.33919120 | 11699.699 | 44630.8 | 1462.5 | 8192 | 417600
+ 4175.9 | 2.92346787 | 11701.426 | 44637.4 | 1462.7 | 8192 | 521984
+ 5219.8 | 3.65539503 | 11698.032 | 44624.5 | 1462.3 | 8192 | 652480
+ 6524.9 | 2.28962493 | 11672.700 | 44527.8 | 1459.1 | 4096 | 815616
+ 8156.2 | 2.87826896 | 11606.848 | 44276.6 | 1450.9 | 4096 | 1019520
+ 10195.5 | 3.98002481 | 10492.545 | 40025.9 | 1311.6 | 4096 | 1274432
+ 12744.7 | 2.61160898 | 9994.281 | 38125.2 | 1249.3 | 2048 | 1593088
+ 15930.9 | 3.51269889 | 9288.141 | 35431.4 | 1161.0 | 2048 | 1991360
+ 19913.2 | 2.35897207 | 8644.076 | 32974.5 | 1080.5 | 1024 | 2489152
+ 24891.9 | 3.11050200 | 8194.597 | 31259.9 | 1024.3 | 1024 | 3111488
+ 31114.8 | 2.00837493 | 7932.161 | 30258.8 | 991.5 | 512 | 3889344
+ 38893.6 | 2.59061909 | 7686.775 | 29322.7 | 960.8 | 512 | 4861696
+ 48617.0 | 3.32759309 | 7480.447 | 28535.6 | 935.1 | 512 | 6077120
+ 60771.3 | 2.08625913 | 7457.108 | 28446.6 | 932.1 | 256 | 7596416
+ 75964.4 | 2.63398385 | 7383.071 | 28164.2 | 922.9 | 256 | 9495552
+ 94955.5 | 3.32092214 | 7319.838 | 27923.0 | 915.0 | 256 | 11869440
+ 118694.4 | 2.07402086 | 7325.328 | 27943.9 | 915.7 | 128 | 14836800
+ 148367.9 | 2.60452199 | 7291.583 | 27815.2 | 911.4 | 128 | 18545984
+ 185460.2 | 3.27135301 | 7256.603 | 27681.7 | 907.1 | 128 | 23182528
+ 231824.9 | 2.04595613 | 7251.765 | 27663.3 | 906.5 | 64 | 28978112
+ 289781.2 | 2.56240106 | 7237.743 | 27609.8 | 904.7 | 64 | 36222656
+ 362226.7 | 3.20592809 | 7231.138 | 27584.6 | 903.9 | 64 | 45278336
+ 452783.6 | 2.06973481 | 7000.450 | 26704.6 | 875.1 | 32 | 56597952
+ 565979.6 | 2.58132815 | 7016.291 | 26765.0 | 877.0 | 32 | 70747456
+ 707474.4 | 3.23389602 | 7000.591 | 26705.1 | 875.1 | 32 | 88434304
+ 884343.3 | 4.05660486 | 6976.027 | 26611.4 | 872.0 | 32 | 110542912
+ 1105429.5 | 5.09171486 | 6947.314 | 26501.9 | 868.4 | 32 | 138178688
+ 1381786.6 | 6.35625410 | 6956.483 | 26536.9 | 869.6 | 32 | 172723328
+ 1727233.5 | 7.94153500 | 6959.797 | 26549.5 | 870.0 | 32 | 215904192
+ 2159042.0 | 9.89042187 | 6985.480 | 26647.5 | 873.2 | 32 | 269880256
+ 2698802.2 | 12.48265886 | 6918.532 | 26392.1 | 864.8 | 32 | 337350272
+ 3373503.0 | 15.47786808 | 6974.610 | 26606.0 | 871.8 | 32 | 421687872
+ 4216879.1 | 19.28635192 | 6996.664 | 26690.2 | 874.6 | 32 | 527109888
+ 5271098.9 | 24.13399792 | 6989.110 | 26661.3 | 873.6 | 32 | 658887360
+ 6588873.2 | 30.50067091 | 6912.764 | 26370.1 | 864.1 | 32 | 823609152
+ 8236091.9 | 38.15790606 | 6906.955 | 26347.9 | 863.4 | 32 | 1029511488
+ 10295114.8 | 47.83115005 | 6887.639 | 26274.3 | 861.0 | 32 | 1286889344
+ 12868893.7 | 59.28840494 | 6945.786 | 26496.1 | 868.2 | 32 | 1608611712
diff --git a/benchmarks/copy/run_copy.sh b/benchmarks/copy/run_copy.sh
new file mode 100755
index 0000000000000000000000000000000000000000..b25ce0b83d929486bf622a9f9665f368937d1b7c
--- /dev/null
+++ b/benchmarks/copy/run_copy.sh
@@ -0,0 +1,27 @@
+#!/bin/bash
+
+ARCH=`echo $1 | awk '{print tolower($0)}'`
+ARCH_UP=`echo $1 | awk '{print toupper($0)}'`
+CSV_FILE="../results_copy.csv"
+
+if [ $# -eq 0 ]; then
+ echo "Specify target architecture [IVB, HSW, SKL]"
+ exit -1
+fi
+
+if [ $1 = "--help" ]; then
+ echo -e "Usage: ./run_copy.sh [ARCH]\n\n ARCH Target architecture. One of [IVB, HSW, SKL].\n"
+ exit 0
+fi
+
+# Build benchmark
+./build.sh
+
+# Run benchmark
+./a.copy.$ARCH | sort -nk1 | tee -a out.copy.$ARCH
+
+# Store result in csv for plot
+if [ ! -f $CSV_FILE ]; then
+ echo "size(KB),bandwidth(MB/s),arch" > $CSV_FILE
+fi
+awk -v arch="$ARCH_UP" 'NR>2 {print $1, ",", $5, ",", arch}' out.copy.$ARCH >> $CSV_FILE
diff --git a/benchmarks/copy/timing.c b/benchmarks/copy/timing.c
new file mode 100644
index 0000000000000000000000000000000000000000..7c63cb0dd6a9bcd93d62613b27c24703d4d6c10e
--- /dev/null
+++ b/benchmarks/copy/timing.c
@@ -0,0 +1,19 @@
+#include "timing.h"
+
+void timing(double* wcTime, double* cpuTime)
+{
+ struct timeval tp;
+ struct rusage ruse;
+
+ gettimeofday(&tp, NULL);
+ *wcTime=(double) (tp.tv_sec + tp.tv_usec/1000000.0);
+
+ getrusage(RUSAGE_SELF, &ruse);
+ *cpuTime=(double)(ruse.ru_utime.tv_sec+ruse.ru_utime.tv_usec / 1000000.0);
+}
+
+void timing_(double* wcTime, double* cpuTime) {
+ timing(wcTime, cpuTime);
+}
+
+void dummy(double* a) {}
diff --git a/benchmarks/copy/timing.h b/benchmarks/copy/timing.h
new file mode 100644
index 0000000000000000000000000000000000000000..b06338496b80bf69219d9b7d323f62089d350604
--- /dev/null
+++ b/benchmarks/copy/timing.h
@@ -0,0 +1,9 @@
+#include <sys/time.h>
+#include <sys/types.h>
+#include <stdlib.h>
+#include <stdio.h>
+#include <sys/resource.h>
+
+
+
+void timing(double* wcTime, double* cpuTime);
diff --git a/benchmarks/lbmBench/bin/lbmbenchk-linux-intel-release-dp b/benchmarks/lbmBench/bin/lbmbenchk-linux-intel-release-dp
new file mode 100755
index 0000000000000000000000000000000000000000..59dc4715799f5e6fedd12922a37ba6bc8052600c
Binary files /dev/null and b/benchmarks/lbmBench/bin/lbmbenchk-linux-intel-release-dp differ
diff --git a/benchmarks/lbmBench/bin/lbmbenchk-linux-intel-release-dp-hsw-avx b/benchmarks/lbmBench/bin/lbmbenchk-linux-intel-release-dp-hsw-avx
new file mode 100755
index 0000000000000000000000000000000000000000..b7b3fee7fbc2fd77af43cac61c8a2c1b9a4cab7d
Binary files /dev/null and b/benchmarks/lbmBench/bin/lbmbenchk-linux-intel-release-dp-hsw-avx differ
diff --git a/benchmarks/lbmBench/bin/lbmbenchk-linux-intel-release-dp-hsw-avx2 b/benchmarks/lbmBench/bin/lbmbenchk-linux-intel-release-dp-hsw-avx2
new file mode 100755
index 0000000000000000000000000000000000000000..12260b533684a4a68a231340265b00f56071b3e7
Binary files /dev/null and b/benchmarks/lbmBench/bin/lbmbenchk-linux-intel-release-dp-hsw-avx2 differ
diff --git a/benchmarks/lbmBench/bin/lbmbenchk-linux-intel-release-dp-ivb-avx b/benchmarks/lbmBench/bin/lbmbenchk-linux-intel-release-dp-ivb-avx
new file mode 100755
index 0000000000000000000000000000000000000000..68eda895cb8e0a68e9fe8daa991823b64d6ddb13
Binary files /dev/null and b/benchmarks/lbmBench/bin/lbmbenchk-linux-intel-release-dp-ivb-avx differ
diff --git a/benchmarks/lbmBench/bin/lbmbenchk-linux-intel-release-dp-skl-avx b/benchmarks/lbmBench/bin/lbmbenchk-linux-intel-release-dp-skl-avx
new file mode 100755
index 0000000000000000000000000000000000000000..b7b3fee7fbc2fd77af43cac61c8a2c1b9a4cab7d
Binary files /dev/null and b/benchmarks/lbmBench/bin/lbmbenchk-linux-intel-release-dp-skl-avx differ
diff --git a/benchmarks/lbmBench/bin/lbmbenchk-linux-intel-release-dp-skl-avx2 b/benchmarks/lbmBench/bin/lbmbenchk-linux-intel-release-dp-skl-avx2
new file mode 100755
index 0000000000000000000000000000000000000000..4464a63942843473ed8d8b683d9ac14110d9d194
Binary files /dev/null and b/benchmarks/lbmBench/bin/lbmbenchk-linux-intel-release-dp-skl-avx2 differ
diff --git a/benchmarks/lbmBench/bin/lbmbenchk-linux-intel-release-dp-skl-avx512 b/benchmarks/lbmBench/bin/lbmbenchk-linux-intel-release-dp-skl-avx512
new file mode 100755
index 0000000000000000000000000000000000000000..2a4fe76aaf749f924d20523d1c6d637fe328b197
Binary files /dev/null and b/benchmarks/lbmBench/bin/lbmbenchk-linux-intel-release-dp-skl-avx512 differ
diff --git a/benchmarks/lbmBench/clean.sh b/benchmarks/lbmBench/clean.sh
new file mode 100755
index 0000000000000000000000000000000000000000..8035ae21c14d6a8a78a44fc1870b3d30f7b9ba2e
--- /dev/null
+++ b/benchmarks/lbmBench/clean.sh
@@ -0,0 +1,4 @@
+#!/bin/bash
+
+rm -f density-ux.dat
+rm -f ux-progress.dat
diff --git a/benchmarks/lbmBench/create_plotdata_lbmBench_node_scale.sh b/benchmarks/lbmBench/create_plotdata_lbmBench_node_scale.sh
new file mode 100755
index 0000000000000000000000000000000000000000..326c02ded330857762f61134015d6e3d780df4ce
--- /dev/null
+++ b/benchmarks/lbmBench/create_plotdata_lbmBench_node_scale.sh
@@ -0,0 +1,66 @@
+#!/bin/bash
+
+# Check parameter
+while test $# -gt 0; do
+ case "$1" in
+ -h|--help)
+ echo "Usage: ./create_plotdata_lbmBench_node_scale.sh ARCH"
+ echo -e "\n ARCH Target architecture. One of [IVB, HSW, SKL]\n"
+ exit 0
+ ;;
+ *)
+ ARCH=`echo $1 | awk '{print tolower($0)}'`
+ shift
+ ;;
+ esac
+done
+
+if [ -z $ARCH ]; then
+ echo "Specify the target architecture [SKL, HSW, IVB]."
+ exit -1
+fi
+
+case $ARCH in
+ "skl")
+ FLAGS="avx512"
+ # THREADS="1-40"
+ ;;
+ "hsw")
+ FLAGS="avx2"
+ # THREADS="1-28"
+ ;;
+ "ivb")
+ FLAGS="avx"
+ # THREADS="1-20"
+ ;;
+ *)
+ echo "Target architecture '$ARCH' not supported."
+ exit -1
+ ;;
+esac
+
+##########################
+
+CSV_FILE="../results_lbmBench_node.csv"
+CSV_FILE_ALL="../results_node.csv"
+BENCH_OUT="out.lbmBench.$ARCH"
+THREADS="1-40"
+
+# Prepare CSV
+if [ ! -f $CSV_FILE ]; then
+ echo "MFLUPS,threads,dim_x,kernel" > $CSV_FILE
+fi
+if [ ! -f $CSV_FILE_ALL ]; then
+ echo "MFLUPS,threads,dim_x,kernel" > $CSV_FILE_ALL
+fi
+
+
+for flag in $FLAGS
+do
+ # Run benchmarks
+ ./run_lbmBench-kernels.sh $ARCH $flag -t $THREADS -d 300 -f
+done
+
+# Format output
+cat $BENCH_OUT | awk -v arch="$ARCH" '{OFS=","; print $3, $2, $4, toupper(arch)"_"$5}' >> $CSV_FILE
+cat $BENCH_OUT | awk -v arch="$ARCH" '{OFS=","; print $3, $2, $4, toupper(arch)"_"$5}' >> $CSV_FILE_ALL
diff --git a/benchmarks/lbmBench/create_plotdata_lbmBench_single_core.sh b/benchmarks/lbmBench/create_plotdata_lbmBench_single_core.sh
new file mode 100755
index 0000000000000000000000000000000000000000..6042d6c5d7db11a8cfc75619c9f6d468a46653e6
--- /dev/null
+++ b/benchmarks/lbmBench/create_plotdata_lbmBench_single_core.sh
@@ -0,0 +1,54 @@
+#!/bin/bash
+
+# Check parameter
+while test $# -gt 0; do
+ case "$1" in
+ -h|--help)
+ echo "Usage: ./create_plotdata_lbmBench_single_core.sh ARCH"
+ echo -e "\n ARCH Target architecture. One of [IVB, HSW, SKL]\n"
+ exit 0
+ ;;
+ *)
+ ARCH=`echo $1 | awk '{print tolower($0)}'`
+ shift
+ ;;
+ esac
+done
+
+if [ -z $ARCH ]; then
+ echo "Specify the target architecture [SKL, HSW, IVB]."
+ exit -1
+fi
+
+case $ARCH in
+ "skl")
+ FLAGS="avx512 avx2 avx"
+ ;;
+ "hsw")
+ FLAGS="avx2 avx"
+ ;;
+ "ivb")
+ FLAGS="avx"
+ ;;
+ *)
+ echo "Target architecture '$ARCH' not supported."
+ exit -1
+ ;;
+esac
+
+##########################
+
+CSV_FILE="../results_lbmBench_$ARCH.csv"
+BENCH_OUT="out.lbmBench.$ARCH"
+
+# Prepare CSV
+echo "flags,MFLUPS,threads,kernel" > $CSV_FILE
+
+for flag in $FLAGS
+do
+ # Run benchmarks
+ ./run_lbmBench-kernels.sh $ARCH $flag -t 1 -d 300
+done
+
+# Format output
+cat $BENCH_OUT | awk '{OFS=","; print $1, $3, $2, $5}' >> $CSV_FILE
diff --git a/benchmarks/lbmBench/run_lbmBench-kernels.sh b/benchmarks/lbmBench/run_lbmBench-kernels.sh
new file mode 100755
index 0000000000000000000000000000000000000000..4dd4f4307a8dead60e524b714558979021462d96
--- /dev/null
+++ b/benchmarks/lbmBench/run_lbmBench-kernels.sh
@@ -0,0 +1,106 @@
+#!/bin/bash
+
+BIN_DIR="./bin"
+OUTPUT="./"
+
+# Check parameter
+while test $# -gt 0; do
+ case "$1" in
+ -h|--help)
+ echo "Usage: ./run_lbmBench-kernels.sh ARCH EXT [-t THREADS] [-d DIMENSION] [-f|--fastest]"
+ echo -e "\n ARCH Target architecture. One of [IVB, HSW, SKL]."
+ echo -e " EXT ISA extension. One of [AVX, AVX2, AVX512]."
+ echo -e "\nOptional:"
+ echo -e " -t THREADS Number of threads. Can be either one number or a range in the format 'N-M'."
+ echo -e " If no value is given, THREADS will be set to 1."
+ echo -e " -d DIMENSION X value in the dimension (X x 100 x 100). Either an integer"
+ echo -e " number or 'all'. 'all' will start a dimension scaling with the values"
+ echo -e " [10 25 50 100 125 150 175 200 250 300 400 500]."
+ echo -e " If no value is given, DIMENSIONS will be set to 300."
+ echo -e " -f, --fastest Starts only the fastest kernel 'list-aa-pv-soa'.\n"
+ exit 0
+ ;;
+ -t)
+ shift
+ if [[ $1 == *"-"* ]]; then
+ THREAD_START=`echo "$1" | cut -f1 -d "-"`
+ THREAD_END=`echo "$1" | cut -f2 -d "-"`
+ else
+ THREAD_START=$1
+ THREAD_END=$1
+ fi
+ shift
+ ;;
+ -d)
+ shift
+ if [[ $1 == "all" ]]; then
+ DIMS="10 25 50 100 125 150 175 200 250 300 400 500"
+ else
+ DIMS=$1
+ fi
+ shift
+ ;;
+ -f|--fastest)
+ shift
+ KERNELS="list-aa-pv-soa"
+ ;;
+ *)
+ if [ -z $ARCH ]; then
+ ARCH=`echo $1 | awk '{print tolower($0)}'`
+ else
+ EXT=`echo $1 | awk '{print tolower($0)}'`
+ fi
+ shift
+ ;;
+ esac
+done
+
+if [ -z $EXT ]; then
+ echo "Specify at least 3 parameters (architecture, extension, threads, [dimension]."
+ echo "See help for more information."
+ exit -1
+fi
+
+if [ -z $DIMS ]; then
+ DIMS=300
+fi
+
+if [ -z $THREAD_START ]; then
+ THREAD_START=1
+ THREAD_END=1
+fi
+
+# Used to be special fastest kernel handling for HSW
+# But when scaling, list-aa-pv-soa proofed to be faster
+#if [[ $ARCH == "hsw" ]] && [[ ! -z $KERNELS ]]; then
+# KERNELS="aa-vec-soa"
+#fi
+
+if [ -z $KERNELS ]; then
+ KERNELS="list-aa-pv-soa list-aa-ria-soa list-aa-soa list-aa-aos"
+ KERNELS=`echo $KERNELS list-pull-split-nt-1s-soa list-pull-split-nt-2s-soa list-pull-soa list-pull-aos`
+ KERNELS=`echo $KERNELS list-push-soa list-push-aos`
+ KERNELS=`echo $KERNELS aa-vec-sl-soa aa-vec-soa aa-aos aa-soa`
+ KERNELS=`echo $KERNELS blk-push-aos blk-pull-soa blk-pull-aos blk-push-soa`
+ KERNELS=`echo $KERNELS push-soa push-aos pull-soa pull-aos`
+fi
+
+################################
+# Start execution
+
+# Run benchmarks
+for k in $KERNELS
+do
+ for t in `seq $THREAD_START $THREAD_END`
+ do
+ for d in $DIMS
+ do
+ $BIN_DIR/lbmbenchk-linux-intel-release-dp-$ARCH-$EXT -dims ${d}x100x100 -iterations 20 \
+ -kernel $k -omega 1.8 -t $t -pin $(seq -s , 0 $t) | tail -n 1 | awk -v threads="$t" \
+ -v dim="$d" -v ext="$EXT" '{print ext, threads, $2, dim, $17}' | tee -a out.lbmBench.$ARCH
+ done
+ done
+done
+
+# Clean supplementary files
+./clean.sh
diff --git a/benchmarks/lbmpy/bench-omp-skl b/benchmarks/lbmpy/bench-omp-skl
new file mode 100755
index 0000000000000000000000000000000000000000..7b11f1756d81d07a15e3b03ff71c61b9a27d4368
Binary files /dev/null and b/benchmarks/lbmpy/bench-omp-skl differ
diff --git a/benchmarks/lbmpy/clean.sh b/benchmarks/lbmpy/clean.sh
new file mode 100755
index 0000000000000000000000000000000000000000..95a5fc43d9bbb38505fc268293dada9404460fc2
--- /dev/null
+++ b/benchmarks/lbmpy/clean.sh
@@ -0,0 +1,5 @@
+#!/bin/bash
+
+rm -f bench.*
+rm -f dummy.s
+rm -f timing.s
diff --git a/benchmarks/lbmpy/create_plotdata_lbmpy_node_scale.sh b/benchmarks/lbmpy/create_plotdata_lbmpy_node_scale.sh
new file mode 100755
index 0000000000000000000000000000000000000000..ab3f820e9d50d392af6d1b9ef6d6e556bc0a28bb
--- /dev/null
+++ b/benchmarks/lbmpy/create_plotdata_lbmpy_node_scale.sh
@@ -0,0 +1,70 @@
+#!/bin/bash
+
+# Check parameter
+while test $# -gt 0; do
+ case "$1" in
+ -h|--help)
+ echo "Usage: ./create_plotdata_lbmpy_node_scale.sh ARCH"
+ echo -e "\n ARCH Target architecture. One of [IVB, HSW, SKL]\n"
+ exit 0
+ ;;
+ *)
+ ARCH=`echo $1 | awk '{print tolower($0)}'`
+ shift
+ ;;
+ esac
+done
+
+if [ -z $ARCH ]; then
+ echo "Specify the target architecture [SKL, HSW, IVB]."
+ exit -1
+fi
+
+case $ARCH in
+ "skl")
+ LABEL="SKL_lbmpy(FTTFTT)"
+ # THREADS="40"
+ ;;
+ "hsw")
+ LABEL="HSW_lbmpy(FTFTTT)"
+ # THREADS="28"
+ ;;
+ "ivb")
+ LABEL="IVB_lbmpy(FTFTTF)"
+ # THREADS="20"
+ ;;
+ *)
+ echo "Target architecture '$ARCH' not supported."
+ exit -1
+ ;;
+esac
+
+##########################
+
+CSV_FILE="../results_lbmpy_node.csv"
+CSV_FILE_ALL="../results_node.csv"
+BENCH_OUT="out.lbmpy.$ARCH"
+
+THREADS=40
+CELLS=2861992
+DIM_X=300
+
+# Prepare CSV
+if [ ! -f $CSV_FILE ]; then
+ echo "MFLUPS,threads,dim_x,kernel" > $CSV_FILE
+fi
+if [ ! -f $CSV_FILE_ALL ]; then
+ echo "MFLUPS,threads,dim_x,kernel" > $CSV_FILE_ALL
+fi
+
+# Run benchmarks
+echo "MLUPs,threads,dim_x,kernel"
+for t in `seq 1 $THREADS`
+do
+ export OMP_NUM_THREADS=$t
+ WTIME=`likwid-pin -q -S -c S0:0-$((t - 1)) ./bench-omp-$ARCH 20`
+ #WTIME=`likwid-pin -q -S -c E:S0:$t:1:2 ./bench-omp-$ARCH 20`
+ MLUPS=$(python -c "print(round($CELLS / $WTIME * 1e-6, 6))")
+ echo "$MLUPS,$t,$DIM_X,$LABEL" | tee -a $CSV_FILE
+ echo "$MLUPS,$t,$DIM_X,$LABEL" >> $CSV_FILE_ALL
+done
diff --git a/benchmarks/lbmpy/create_plotdata_lbmpy_single_core.sh b/benchmarks/lbmpy/create_plotdata_lbmpy_single_core.sh
new file mode 100755
index 0000000000000000000000000000000000000000..5458b96c62ca0f7192591233d40ed53c7e1778af
--- /dev/null
+++ b/benchmarks/lbmpy/create_plotdata_lbmpy_single_core.sh
@@ -0,0 +1,29 @@
+#!/bin/bash
+
+OUTPUT="../results_lbmpy_skl.csv"
+
+# Check parameter
+while test $# -gt 0; do
+ case "$1" in
+ -h|--help)
+ echo "Usage: ./create_plotdata_lbmpy_single_core.sh ARCH"
+ echo -e "\n ARCH Target architecture. One of [IVB, HSW, SKL].\n"
+ exit 0
+ ;;
+ *)
+ ARCH=`echo $1 | awk '{print tolower($0)}'`
+ shift
+ ;;
+ esac
+done
+
+if [ -z $ARCH ]; then
+ echo "Specify a target architecture. See help for more information."
+ exit -1
+fi
+
+################################
+# Start execution
+
+# Run benchmarks
+./lbmpy_bench.py --all -o $OUTPUT $ARCH
diff --git a/benchmarks/lbmpy/lbmpy_bench.py b/benchmarks/lbmpy/lbmpy_bench.py
new file mode 100755
index 0000000000000000000000000000000000000000..f35821799b5cf9ccf45e67f22121ee1a6b81a791
--- /dev/null
+++ b/benchmarks/lbmpy/lbmpy_bench.py
@@ -0,0 +1,441 @@
+#!/usr/bin/env python3
+
+import argparse
+import warnings
+import datetime as dt
+from timeit import Timer
+
+from lbmpy.session import *
+from pystencils.field import create_numpy_array_with_layout
+from pystencils.kerncraft_coupling import *
+from pystencils.sympyextensions import prod
+from pystencils.timeloop import TimeLoop
+from kerncraft.machinemodel import MachineModel
+from kerncraft.models import ECM, Benchmark, ECMData
+from kerncraft.prefixedunit import PrefixedUnit
+
+sep = '-----------------------------------------\n'
+results_filepath = ''
+MACHINE_FILE_PATH = './machine-files/'
+global_arch = ''
+
+
+def main():
+ parser = create_parser()
+ args = parser.parse_args()
+ check_arguments(args, parser)
+ cse_g, cse_pdfs, vec, comp, split, dims = init_parameters(args)
+ run_benchmarks(
+ cse_g, cse_pdfs, vec, comp, split, dims, args.openmp, args.kerncraft, args.with_pheno
+ )
+
+
+def create_parser():
+ # Create parser
+ parser = argparse.ArgumentParser(
+ description='Runs lbmpy benchmarks and returns results in a plottable format.'
+ )
+
+ # Add arguments
+ parser.add_argument(
+ 'arch', type=str, help='Target architecture. Must be one of [SKL, HSW, IVB].'
+ )
+ parser.add_argument('-o', '--output', dest='output', type=str, help='Destination output file.')
+ parser.add_argument(
+ '--all', action='store_true', help='Run benchmarks with all possible options.'
+ )
+ parser.add_argument(
+ '-f',
+ '--fastest',
+ action='store_true',
+ dest='fastest',
+ help='Run only fastest benchmark options.',
+ )
+ parser.add_argument(
+ '-d',
+ '--dims',
+ action='store_true',
+ dest='dims',
+ help=(
+ 'Run a dimension scaling for x in the range [10, 25, 50, 100, 150, 200, 250, 300, '
+ '500]. Otherwise, a fixed x dimension of 300 is assumed.'
+ ),
+ )
+ parser.add_argument(
+ '--openmp', action='store_true', help='Creates a parallel version of the code with OpenMP.'
+ )
+ parser.add_argument(
+ '--kerncraft',
+ action='store_true',
+ help='Does an additional Kerncraft ECM analysis of the kernel.',
+ )
+ parser.add_argument(
+ '--with-pheno',
+ action='store_true',
+ help=(
+ 'Only applicable if "--kerncraft" is set. Applies a phenomenological '
+ 'ECM model for analysis.'
+ ),
+ )
+ return parser
+
+
+def check_arguments(args, parser):
+ global results_filepath
+ global global_arch
+
+ supported_archs = ['IVB', 'HSW', 'SKL']
+ if args.arch.upper() not in supported_archs:
+ parser.error(
+ 'Microarchitecture not supported. Please see --help for all valid architecture codes.'
+ )
+ if args.with_pheno and not args.kerncraft:
+ parser.error(
+ '--with-pheno only applicable if --kerncraft is set. '
+ 'Please see --help for more information'
+ )
+ global_arch = args.arch.lower()
+ ts = dt.datetime.utcnow().timestamp()
+ results_filepath = (
+ args.output if 'output' in args else 'results_{}.{}.csv'.format(args.arch.lower(), ts)
+ )
+
+
+def init_parameters(args):
+ arch = args.arch.upper()
+ if args.all:
+ cse_g = [True, False]
+ cse_pdfs = [True, False]
+ vect = [
+ {'instruction_set': 'avx', 'assume_aligned': True, 'nontemporal': True},
+ {'instruction_set': 'avx', 'assume_aligned': True, 'nontemporal': False},
+ {'instruction_set': 'avx', 'assume_aligned': False, 'nontemporal': False},
+ ]
+ if arch == 'SKL':
+ vect += [
+ {'instruction_set': 'avx512', 'assume_aligned': True, 'nontemporal': True},
+ {'instruction_set': 'avx512', 'assume_aligned': True, 'nontemporal': False},
+ {'instruction_set': 'avx512', 'assume_aligned': False, 'nontemporal': False},
+ ]
+ comp = [True, False]
+ split = [True, False]
+ elif args.fastest:
+ if arch == 'SKL':
+ cse_g = cse_pdfs = [True]
+ comp = split = [False]
+ vect = [{'instruction_set': 'avx512', 'assume_aligned': True, 'nontemporal': True}]
+ elif arch == 'HSW':
+ cse_g = comp = [False]
+ cse_pdfs = split = [True]
+ vect = [{'instruction_set': 'avx', 'assume_aligned': True, 'nontemporal': True}]
+ elif arch == 'IVB':
+ cse_g = comp = [False]
+ cse_pdfs = split = [True]
+ vect = [{'instruction_set': 'avx', 'assume_aligned': True, 'nontemporal': False}]
+ dims = [10, 25, 50, 100, 150, 200, 250, 300, 500] if args.dims else [300]
+ return cse_g, cse_pdfs, vect, comp, split, dims
+
+
+#######################################
+# MAIN FUNCTIONS
+
+
+def run_benchmarks(cse_g, cse_pdfs, vec, comp, split, dims, openmp, kerncraft, with_pheno):
+ cse_global_options = cse_g
+ cse_pdfs_options = cse_pdfs
+ vect_options = vec
+ compress_options = comp
+ split_options = split
+ dims_x = dims
+ total = (
+ len(cse_global_options)
+ * len(cse_pdfs_options)
+ * len(vect_options)
+ * len(compress_options)
+ * len(split_options)
+ * len(dims_x)
+ )
+ curr = 1
+ for cgo in cse_global_options:
+ for cpo in cse_pdfs_options:
+ for vo in vect_options:
+ for co in compress_options:
+ for so in split_options:
+ for dim_x in dims_x:
+ shape = [dim_x, 100, 100, 19]
+ opt = {
+ 'cse_pdfs': cpo,
+ 'cse_global': cgo,
+ 'split': so,
+ 'vectorization': vo,
+ 'openmp': openmp,
+ }
+ m_opt = {
+ 'method': 'trt',
+ 'stencil': 'D3Q19',
+ 'relaxation_rates': [1.6, 1.8],
+ 'compressible': co,
+ }
+ print('{}/{}'.format(curr, total))
+ print(get_param_info(m_opt, opt, shape))
+ if curr == 1:
+ write_csv_header(
+ m_opt['method'],
+ m_opt['stencil'],
+ m_opt['relaxation_rates'],
+ shape,
+ )
+ if kerncraft:
+ kerncraft_bench(
+ m_opt, opt, shape, loop='all', with_pheno=with_pheno
+ )
+ c_bench(m_opt, opt, shape)
+ print(sep + sep, end='')
+ curr += 1
+
+
+def init(m_opt=None, opts=None, shape=None):
+ shape = shape if shape is not None else [100, 100, 100, 19]
+ if m_opt is None:
+ m_opt = dict()
+ if (
+ opts is not None
+ and 'assume_aligned' in opts['vectorization']
+ and opts['vectorization']['assume_aligned']
+ ):
+ # with assume_aligned
+ src_arr = create_numpy_array_with_layout(
+ shape=shape, layout=(3, 2, 1, 0), alignment=8 * 8, byte_offset=8
+ )
+ else:
+ # without assume_aligned
+ src_arr = np.zeros(shape, order='f')
+ print("Src array strides ", [a // 8 for a in src_arr.strides])
+ dst_arr = np.zeros_like(src_arr)
+ cells = prod(t - 2 for t in src_arr.shape[:-1]) # subtract ghost layers
+ opt = {'cse_pdfs': True, 'split': False, 'vectorization': {'instruction_set': 'avx'}}
+ opt = opts if opts is not None else opt
+ opt['openmp'] = False if 'openmp' not in opt else opt['openmp']
+ opt['symbolic_field'] = ps.Field.create_from_numpy_array('src', src_arr, index_dimensions=1)
+ method = 'trt' if 'method' not in m_opt else m_opt['method']
+ stencil = 'D3Q19' if 'stencil' not in m_opt else m_opt['stencil']
+ compr = False if 'compressible' not in m_opt else m_opt['compressible']
+ relaxation = [1.8, 1.6] if 'relaxation_rates' not in m_opt else m_opt['relaxation_rates']
+ ast = create_lb_ast(
+ # method='trt', stencil='D3Q19', optimization=opt, relaxation_rates=[1.8, 1.6]
+ method=method,
+ stencil=stencil,
+ optimization=opt.copy(),
+ compressible=compr,
+ relaxation_rates=relaxation,
+ )
+ used_opts = opt.copy()
+ used_opts['compressible'] = compr
+ return ast, cells, used_opts
+
+
+def c_bench(m_opt=None, opt=None, shape=None):
+ ast, cells, used_opts = init(m_opt, opt, shape)
+ print('CELLS: {}'.format(cells))
+
+ print('{}C benchmark'.format(sep))
+ timings = run_c_benchmark(
+ ast,
+ inner_iterations=20,
+ outer_iterations=5,
+ assume_aligned=opt['vectorization']['assume_aligned'],
+ # openmp=False
+ )
+ mlups = cells / min(timings) * 1e-6
+ print('MFLUPs: {}, ({}s)'.format(mlups, timings))
+ # write_c_bench_val(str(round(mlups,2))+' MFLUPs')
+ return mlups
+
+
+def kerncraft_bench(m_opt=None, opt=None, shape=None, loop=False, with_pheno=False):
+ ast, cells, used_opts = init(m_opt, opt, shape)
+ c_mlups = c_bench(m_opt, opt, shape)
+ return
+ # print(show_code(ast))
+ print('{}Kerncraft'.format(sep))
+ machine_file_path = MACHINE_FILE_PATH
+ if global_arch == 'skl':
+ machine_file_path += 'SkylakeSP_Gold-6148.yml'
+ elif global_arch == 'hsw':
+ machine_file_path += 'HaswellEP_E5-2695v3_CoD.yml'
+ elif global_arch == 'ivb':
+ machine_file_path += 'IvyBridgeEP_E5-2660v2.yml'
+ machine = MachineModel(path_to_yaml=machine_file_path)
+ loops = PyStencilsKerncraftKernel.get_number_of_kernels(ast)
+ steps = [s / 8 for s in PyStencilsKerncraftKernel.get_steps_for_loops(ast)]
+ results = []
+ print('Loops: {}'.format(loops))
+ if loop:
+ if loop == 'all':
+ for l in range(loops):
+ print('Loop {}'.format(l))
+ results.append(
+ kerncraft_helper(
+ ast=ast,
+ machine=machine,
+ loop_idx=l,
+ accumulate=True,
+ with_pheno=with_pheno,
+ debug_print=False,
+ )
+ )
+ print('')
+ for i, r in enumerate(results):
+ print(
+ 'Loop {} ({} steps): {}, FLOPS: {}'.format(
+ i, int(steps[i]), r[0]['cy/CL'], r[1]._flops
+ )
+ )
+ p_sum = get_loop_sum(results, machine)
+ print('Sum: {}'.format(p_sum))
+ all_cy_cl = sum_prefixedUnits([r[0]['cy/CL'] for r in results])
+ arch = results_filepath.split('.')[0][-3:].upper()
+ write_csv_row(used_opts, arch, shape[0], p_sum, all_cy_cl)
+ elif loops > loops:
+ warnings.warn('chosen loop is out of pystencils AST loop range - choosing first one')
+ kerncraft_helper(
+ ast=ast, machine=machine, loop_idx=1, with_pheno=with_pheno, debug_print=False
+ )
+ else:
+ kerncraft_helper(
+ ast=ast, machine=machine, loop_idx=loop, with_pheno=with_pheno, debug_print=False
+ )
+ c_mlups = c_bench(m_opt, opt, shape)
+ c_cycl = conv_to_cycl(c_mlups, results[0][1].datatypes_size[results[0][1].datatype], machine)
+ write_c_bench_val(str(round(c_mlups, 2)), str(round(c_cycl.value, 2)))
+
+
+#######################################
+# HELPER FUNCTIONS
+
+
+def get_param_info(m_opt, opt, shape):
+ inf = (
+ 'Method parameters\n'
+ + '-----------------\n'
+ + 'method={}\n'
+ + 'stencil={}\n'
+ + 'relaxation_rates={}\n'
+ + 'compressible={}\n\n'
+ + 'Optimization parameters\n'
+ + '-----------------------\n'
+ + 'cse_pdfs={}\n'
+ + 'cse_global={}\n'
+ + 'split={}\n'
+ + 'vectorization={}\n'
+ + 'shape={}\n'
+ ).format(
+ m_opt['method'],
+ m_opt['stencil'],
+ m_opt['relaxation_rates'],
+ m_opt['compressible'],
+ opt['cse_pdfs'],
+ opt['cse_global'],
+ opt['split'],
+ opt['vectorization'],
+ shape,
+ )
+ return inf
+
+
+def kerncraft_helper(ast, machine, loop_idx, accumulate=False, with_pheno=True, debug_print=False):
+ kc_kernel = PyStencilsKerncraftKernel(
+ ast=ast, machine=machine, loop_idx=loop_idx, debug_print=debug_print
+ )
+ print('FLOPS: {}'.format(kc_kernel._flops))
+ steps = PyStencilsKerncraftKernel.get_steps_for_loops(ast)
+ if with_pheno:
+ kernbench = Benchmark(kc_kernel, machine, KerncraftParameters(ptr_inc=steps[loop_idx]))
+ kernbench.analyze()
+ print(kernbench.report())
+ ecm = ECM(kc_kernel, machine, KerncraftParameters(ptr_inc=steps[loop_idx]))
+ ecm.analyze()
+ print(ecm.report())
+ if accumulate:
+ # get single core performance prediction
+ return ecm.results.get('scaling prediction')[0]['performance'], kc_kernel
+
+
+def kerncraft_pheno_helper(ast, machine, loop_idx, debug_print):
+ kc_kernel = PyStencilsKerncraftKernel(
+ ast=ast, machine=machine, loop_idx=loop_idx, debug_print=debug_print
+ )
+ print('FLOPS: {}'.format(kc_kernel._flops))
+ steps = PyStencilsKerncraftKernel.get_steps_for_loops(ast)
+ kernbench = Benchmark(kc_kernel, machine, KerncraftParameters(ptr_inc=steps[loop_idx]))
+ kernbench.analyze()
+ print(kernbench.report())
+
+
+def get_loop_sum(results, machine):
+ all_cy_cl = sum_prefixedUnits([r[0]['cy/CL'] for r in results])
+ element_size = results[0][1].datatypes_size[results[0][1].datatype]
+ elements_per_cacheline = int(machine['cacheline size']) // element_size
+ it_s = machine['clock'] / all_cy_cl * elements_per_cacheline
+ it_s.unit = 'It/s'
+ return it_s
+
+
+def conv_to_cycl(mlups, element_size, machine):
+ clock = machine['clock']
+ elem_per_cl = int(machine['cacheline size']) // element_size
+ cy_cl = clock / PrefixedUnit(mlups * 1000000, '', u'It/s') * elem_per_cl
+ cy_cl.unit = 'cy/CL'
+ return cy_cl
+
+
+def sum_prefixedUnits(pu_list):
+ res = pu_list[0]
+ for pu in pu_list[1:]:
+ res += pu
+ return res
+
+
+def write_csv_row(opts, arch, dim_x, p_ecm, ecm_cyCL):
+ row = '{},{},{},{},{},{},{},{},{},{},{},'.format(
+ opts['compressible'],
+ opts['cse_pdfs'],
+ opts['cse_global'],
+ opts['split'],
+ opts['vectorization']['instruction_set'],
+ opts['vectorization']['assume_aligned'],
+ opts['vectorization']['nontemporal'],
+ arch,
+ dim_x,
+ round((p_ecm * 1e-6).value, 2)
+ if p_ecm.prefix == ''
+ else round(p_ecm.value, 2) + p_ecm.prefix + p_ecm.unit,
+ round(ecm_cyCL.value, 2)
+ if ecm_cyCL.prefix == ''
+ else round(ecm_cyCL.value, 2) + ecm_cyCL.prefix + ecm_cyCL.unit,
+ )
+ with open(results_filepath, 'a') as f:
+ f.write(row)
+
+
+def write_c_bench_val(p_mflups, p_cycl):
+ with open(results_filepath, 'a') as f:
+ f.write('{},{}\n'.format(p_mflups, p_cycl))
+
+
+def write_csv_header(method, stencil, relaxation, shape):
+ comment_line = '#method={}, stencil={}, relaxation_rates={}, shape=[dim_x,{},{}]\n'.format(
+ method, stencil, relaxation, shape[1], shape[2]
+ )
+ header = (
+ 'compressible,cse_pdfs,cse_global,split,vec_opt,aligned,nontemp,'
+ 'arch,dim_x,ECM[MIt/s],ECM_cyCL[cy/CL],c_bench[MFLUPs],c_bench_cyCL[cy/CL]\n'
+ )
+ with open(results_filepath, 'a') as f:
+ f.write(comment_line + header)
+
+
+#######################################
+
+if __name__ == '__main__':
+ main()
diff --git a/benchmarks/lbmpy/machine-files/HaswellEP_E5-2695v3_CoD.yml b/benchmarks/lbmpy/machine-files/HaswellEP_E5-2695v3_CoD.yml
new file mode 100644
index 0000000000000000000000000000000000000000..47967e3451151c2e95568483a02b36e8146689e3
--- /dev/null
+++ b/benchmarks/lbmpy/machine-files/HaswellEP_E5-2695v3_CoD.yml
@@ -0,0 +1,348 @@
+kerncraft version: 0.8.1.dev0
+FLOPs per cycle:
+ SP: {total: 32, FMA: 16, ADD: 8, MUL: 8}
+ DP: {total: 16, FMA: 8, ADD: 4, MUL: 4}
+cacheline size: 64 B
+clock: 2.3 GHz
+cores per socket: 14
+cores per NUMA domain: 7
+NUMA domains per socket: 2
+sockets: 2
+compiler:
+ !!omap
+ - icc: -O3 -xCORE-AVX2 -fno-alias -qopenmp
+ - clang: -O3 -mavx2 -D_POSIX_C_SOURCE=200809L -fopenmp
+ - gcc: -O3 -march=core-avx2 -D_POSIX_C_SOURCE=200809L -fopenmp -lm
+write-allocate: True
+memory hierarchy:
+ - level: L1
+ cache per group: {
+ 'sets': 64, 'ways': 8, 'cl_size': 64, # 32 kB
+ 'replacement_policy': 'LRU',
+ 'write_allocate': True, 'write_back': True,
+ 'load_from': 'L2', 'store_to': 'L2'}
+ cores per group: 1
+ threads per group: 2
+ groups: 28
+ upstream throughput: ['architecture code analyzer', ['2D', '3D']]
+ transfers overlap: False
+ performance counter metrics:
+ accesses: MEM_UOPS_RETIRED_LOADS:PMC[0-3] + MEM_UOPS_RETIRED_STORES:PMC[0-3]
+ misses: L1D_REPLACEMENT:PMC[0-3]
+ evicts: L1D_M_EVICT:PMC[0-3]
+ - level: L2
+ cache per group: {
+ 'sets': 512, 'ways': 8, 'cl_size': 64, # 256 kB
+ 'replacement_policy': 'LRU',
+ 'write_allocate': True, 'write_back': True,
+ 'load_from': 'L3', 'store_to': 'L3'}
+ cores per group: 1
+ threads per group: 2
+ groups: 28
+ upstream throughput: [64 B/cy, 'half-duplex'] # can often not be reached
+ transfers overlap: False
+ performance counter metrics:
+ accesses: L1D_REPLACEMENT:PMC[0-3] + L1D_M_EVICT:PMC[0-3]
+ misses: L2_LINES_IN_ALL:PMC[0-3]
+ evicts: L2_TRANS_L2_WB:PMC[0-3]
+ - level: L3
+ cache per group: {
+ 'sets': 18432, 'ways': 16, 'cl_size': 64, # 18 MB (cluster on die mode!)
+ 'replacement_policy': 'LRU',
+ 'write_allocate': True, 'write_back': True}
+ cores per group: 7
+ threads per group: 14
+ groups: 4
+ upstream throughput: [32 B/cy, 'half-duplex']
+ transfers overlap: False
+ performance counter metrics:
+ accesses: L2_LINES_IN_ALL:PMC[0-3] + L2_TRANS_L2_WB:PMC[0-3]
+ misses: (CAS_COUNT_RD:MBOX0C[01] + CAS_COUNT_RD:MBOX1C[01] +
+ CAS_COUNT_RD:MBOX2C[01] + CAS_COUNT_RD:MBOX3C[01] +
+ CAS_COUNT_RD:MBOX4C[01] + CAS_COUNT_RD:MBOX5C[01] +
+ CAS_COUNT_RD:MBOX6C[01] + CAS_COUNT_RD:MBOX7C[01])
+ evicts: (CAS_COUNT_WR:MBOX0C[01] + CAS_COUNT_WR:MBOX1C[01] +
+ CAS_COUNT_WR:MBOX2C[01] + CAS_COUNT_WR:MBOX3C[01] +
+ CAS_COUNT_WR:MBOX4C[01] + CAS_COUNT_WR:MBOX5C[01] +
+ CAS_COUNT_WR:MBOX6C[01] + CAS_COUNT_WR:MBOX7C[01])
+ - level: MEM
+ cores per group: 14
+ upstream throughput: ['full socket memory bandwidth', 'half-duplex']
+ transfers overlap: False
+ penalty cycles per read stream: 0
+ size per group: null
+ threads per group: 28
+micro-architecture: HSW
+model type: Intel Core Haswell EN/EP/EX processor
+model name: Intel(R) Xeon(R) CPU E5-2695 v3 @ 2.30GHz
+overlapping model:
+ ports: ["0", "0DV", "1", "2", "3", "4", "5", "6", "7"]
+ performance counter metric:
+ Max(UOPS_EXECUTED_PORT_PORT_0:PMC[0-3],
+ UOPS_EXECUTED_PORT_PORT_1:PMC[0-3],
+ UOPS_EXECUTED_PORT_PORT_4:PMC[0-3],
+ UOPS_EXECUTED_PORT_PORT_5:PMC[0-3],
+ UOPS_EXECUTED_PORT_PORT_6:PMC[0-3],
+ UOPS_EXECUTED_PORT_PORT_7:PMC[0-3])
+non-overlapping model:
+ ports: ["2D", "3D"]
+ performance counter metric: T_nOL + T_L1L2 + T_L2L3 + T_L3MEM
+benchmarks:
+ kernels:
+ copy:
+ FLOPs per iteration: 0
+ read streams: {bytes: 8.00 B, streams: 1}
+ read+write streams: {bytes: 0.00 B, streams: 0}
+ write streams: {bytes: 8.00 B, streams: 1}
+ daxpy:
+ FLOPs per iteration: 2
+ read streams: {bytes: 16.00 B, streams: 2}
+ read+write streams: {bytes: 8.00 B, streams: 1}
+ write streams: {bytes: 8.00 B, streams: 1}
+ load:
+ FLOPs per iteration: 0
+ read streams: {bytes: 8.00 B, streams: 1}
+ read+write streams: {bytes: 0.00 B, streams: 0}
+ write streams: {bytes: 0.00 B, streams: 0}
+ triad:
+ FLOPs per iteration: 2
+ read streams: {bytes: 24.00 B, streams: 3}
+ read+write streams: {bytes: 0.00 B, streams: 0}
+ write streams: {bytes: 8.00 B, streams: 1}
+ update:
+ FLOPs per iteration: 0
+ read streams: {bytes: 8.00 B, streams: 1}
+ read+write streams: {bytes: 8.00 B, streams: 1}
+ write streams: {bytes: 8.00 B, streams: 1}
+ measurements:
+ L1:
+ 1:
+ cores: [1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14]
+ results:
+ copy: [36.15 GB/s, 72.29 GB/s, 107.93 GB/s, 144.57 GB/s, 180.71 GB/s, 216.91
+ GB/s, 249.35 GB/s, 288.48 GB/s, 276.60 GB/s, 293.75 GB/s, 338.21 GB/s,
+ 361.30 GB/s, 391.12 GB/s, 427.35 GB/s]
+ daxpy: [36.26 GB/s, 71.41 GB/s, 105.53 GB/s, 142.62 GB/s, 176.38 GB/s, 204.69
+ GB/s, 246.03 GB/s, 284.87 GB/s, 274.47 GB/s, 299.98 GB/s, 331.94 GB/s,
+ 372.79 GB/s, 384.68 GB/s, 415.99 GB/s]
+ load: [35.87 GB/s, 71.73 GB/s, 107.59 GB/s, 143.46 GB/s, 179.36 GB/s, 215.20
+ GB/s, 251.04 GB/s, 286.82 GB/s, 323.02 GB/s, 358.91 GB/s, 389.03 GB/s,
+ 424.10 GB/s, 466.55 GB/s, 502.31 GB/s]
+ triad: [35.84 GB/s, 71.82 GB/s, 107.43 GB/s, 143.35 GB/s, 177.66 GB/s, 215.15
+ GB/s, 250.06 GB/s, 285.37 GB/s, 321.15 GB/s, 357.58 GB/s, 392.36 GB/s,
+ 428.25 GB/s, 463.96 GB/s, 495.89 GB/s]
+ update: [36.44 GB/s, 69.45 GB/s, 106.43 GB/s, 141.19 GB/s, 174.31 GB/s,
+ 211.19 GB/s, 249.07 GB/s, 282.24 GB/s, 296.17 GB/s, 319.10 GB/s, 348.48
+ GB/s, 415.47 GB/s, 426.64 GB/s, 476.62 GB/s]
+ size per core: [21.12 kB, 21.12 kB, 21.12 kB, 21.12 kB, 21.12 kB, 21.12 kB,
+ 21.12 kB, 21.12 kB, 21.12 kB, 21.12 kB, 21.12 kB, 21.12 kB, 21.12 kB, 21.12
+ kB]
+ size per thread: [21.12 kB, 21.12 kB, 21.12 kB, 21.12 kB, 21.12 kB, 21.12
+ kB, 21.12 kB, 21.12 kB, 21.12 kB, 21.12 kB, 21.12 kB, 21.12 kB, 21.12
+ kB, 21.12 kB]
+ threads: [1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14]
+ threads per core: 1
+ total size: [21.12 kB, 42.24 kB, 63.36 kB, 84.48 kB, 105.60 kB, 126.72 kB,
+ 147.84 kB, 168.96 kB, 190.08 kB, 211.20 kB, 232.32 kB, 253.44 kB, 274.56
+ kB, 295.68 kB]
+ 2:
+ cores: [1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14]
+ results:
+ copy: [36.01 GB/s, 72.02 GB/s, 107.99 GB/s, 143.96 GB/s, 179.89 GB/s, 211.15
+ GB/s, 248.41 GB/s, 283.30 GB/s, 323.66 GB/s, 355.60 GB/s, 395.26 GB/s,
+ 413.46 GB/s, 456.88 GB/s, 497.59 GB/s]
+ daxpy: [35.98 GB/s, 71.29 GB/s, 106.62 GB/s, 139.93 GB/s, 174.87 GB/s, 207.67
+ GB/s, 245.03 GB/s, 257.64 GB/s, 293.89 GB/s, 319.98 GB/s, 361.81 GB/s,
+ 410.06 GB/s, 420.26 GB/s, 486.10 GB/s]
+ load: [35.77 GB/s, 71.54 GB/s, 107.32 GB/s, 143.09 GB/s, 178.86 GB/s, 214.63
+ GB/s, 246.18 GB/s, 281.50 GB/s, 317.56 GB/s, 350.54 GB/s, 387.99 GB/s,
+ 413.85 GB/s, 456.04 GB/s, 499.50 GB/s]
+ triad: [35.66 GB/s, 71.48 GB/s, 107.05 GB/s, 142.44 GB/s, 178.56 GB/s, 211.55
+ GB/s, 247.57 GB/s, 283.22 GB/s, 317.91 GB/s, 353.64 GB/s, 388.68 GB/s,
+ 369.13 GB/s, 458.62 GB/s, 494.60 GB/s]
+ update: [36.37 GB/s, 72.61 GB/s, 108.98 GB/s, 145.15 GB/s, 181.38 GB/s,
+ 217.73 GB/s, 252.18 GB/s, 287.63 GB/s, 296.42 GB/s, 319.93 GB/s, 355.22
+ GB/s, 389.24 GB/s, 417.22 GB/s, 456.02 GB/s]
+ size per core: [21.12 kB, 21.12 kB, 21.12 kB, 21.12 kB, 21.12 kB, 21.12 kB,
+ 21.12 kB, 21.12 kB, 21.12 kB, 21.12 kB, 21.12 kB, 21.12 kB, 21.12 kB, 21.12
+ kB]
+ size per thread: [10.56 kB, 10.56 kB, 10.56 kB, 10.56 kB, 10.56 kB, 10.56
+ kB, 10.56 kB, 10.56 kB, 10.56 kB, 10.56 kB, 10.56 kB, 10.56 kB, 10.56
+ kB, 10.56 kB]
+ threads: [2, 4, 6, 8, 10, 12, 14, 16, 18, 20, 22, 24, 26, 28]
+ threads per core: 2
+ total size: [21.12 kB, 42.24 kB, 63.36 kB, 84.48 kB, 105.60 kB, 126.72 kB,
+ 147.84 kB, 168.96 kB, 190.08 kB, 211.20 kB, 232.32 kB, 253.44 kB, 274.56
+ kB, 295.68 kB]
+ L2:
+ 1:
+ cores: [1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14]
+ results:
+ copy: [26.67 GB/s, 56.13 GB/s, 81.59 GB/s, 112.34 GB/s, 132.28 GB/s, 163.64
+ GB/s, 193.24 GB/s, 214.92 GB/s, 238.43 GB/s, 259.61 GB/s, 284.20 GB/s,
+ 305.49 GB/s, 339.62 GB/s, 371.21 GB/s]
+ daxpy: [30.33 GB/s, 55.81 GB/s, 82.50 GB/s, 118.06 GB/s, 132.04 GB/s, 157.40
+ GB/s, 201.11 GB/s, 223.93 GB/s, 242.27 GB/s, 256.89 GB/s, 277.96 GB/s,
+ 307.41 GB/s, 363.92 GB/s, 389.90 GB/s]
+ load: [17.75 GB/s, 35.31 GB/s, 53.26 GB/s, 71.52 GB/s, 89.10 GB/s, 106.78
+ GB/s, 123.45 GB/s, 140.76 GB/s, 159.93 GB/s, 177.43 GB/s, 194.60 GB/s,
+ 213.66 GB/s, 230.43 GB/s, 247.83 GB/s]
+ triad: [28.46 GB/s, 47.39 GB/s, 81.60 GB/s, 93.76 GB/s, 118.53 GB/s, 162.34
+ GB/s, 163.41 GB/s, 185.37 GB/s, 243.13 GB/s, 230.47 GB/s, 259.90 GB/s,
+ 321.02 GB/s, 292.71 GB/s, 323.35 GB/s]
+ update: [32.34 GB/s, 63.95 GB/s, 93.87 GB/s, 116.74 GB/s, 152.42 GB/s, 177.23
+ GB/s, 208.02 GB/s, 230.64 GB/s, 268.46 GB/s, 275.62 GB/s, 314.59 GB/s,
+ 339.01 GB/s, 376.68 GB/s, 414.14 GB/s]
+ size per core: [168.96 kB, 168.96 kB, 168.96 kB, 168.96 kB, 168.96 kB, 168.96
+ kB, 168.96 kB, 168.96 kB, 168.96 kB, 168.96 kB, 168.96 kB, 168.96 kB,
+ 168.96 kB, 168.96 kB]
+ size per thread: [168.96 kB, 168.96 kB, 168.96 kB, 168.96 kB, 168.96 kB, 168.96
+ kB, 168.96 kB, 168.96 kB, 168.96 kB, 168.96 kB, 168.96 kB, 168.96 kB,
+ 168.96 kB, 168.96 kB]
+ threads: [1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14]
+ threads per core: 1
+ total size: [168.96 kB, 337.92 kB, 506.88 kB, 675.84 kB, 844.80 kB, 1.01 MB,
+ 1.18 MB, 1.35 MB, 1.52 MB, 1.69 MB, 1.86 MB, 2.03 MB, 2.20 MB, 2.37 MB]
+ 2:
+ cores: [1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14]
+ results:
+ copy: [27.41 GB/s, 53.38 GB/s, 82.12 GB/s, 110.46 GB/s, 137.41 GB/s, 162.79
+ GB/s, 182.83 GB/s, 218.50 GB/s, 240.75 GB/s, 269.95 GB/s, 291.13 GB/s,
+ 315.55 GB/s, 351.05 GB/s, 375.67 GB/s]
+ daxpy: [31.20 GB/s, 60.96 GB/s, 93.95 GB/s, 124.70 GB/s, 153.97 GB/s, 185.19
+ GB/s, 218.94 GB/s, 244.03 GB/s, 275.98 GB/s, 304.64 GB/s, 337.29 GB/s,
+ 364.46 GB/s, 395.56 GB/s, 430.38 GB/s]
+ load: [23.52 GB/s, 47.12 GB/s, 69.82 GB/s, 92.51 GB/s, 115.35 GB/s, 140.35
+ GB/s, 158.38 GB/s, 181.61 GB/s, 208.58 GB/s, 227.87 GB/s, 251.17 GB/s,
+ 277.30 GB/s, 300.77 GB/s, 323.49 GB/s]
+ triad: [31.41 GB/s, 59.98 GB/s, 92.30 GB/s, 122.04 GB/s, 153.58 GB/s, 183.66
+ GB/s, 209.56 GB/s, 240.44 GB/s, 271.43 GB/s, 292.28 GB/s, 325.22 GB/s,
+ 358.33 GB/s, 393.65 GB/s, 416.52 GB/s]
+ update: [32.27 GB/s, 63.75 GB/s, 95.91 GB/s, 128.33 GB/s, 156.94 GB/s, 183.86
+ GB/s, 218.19 GB/s, 250.07 GB/s, 278.58 GB/s, 315.25 GB/s, 335.22 GB/s,
+ 372.13 GB/s, 405.90 GB/s, 431.76 GB/s]
+ size per core: [168.96 kB, 168.96 kB, 168.96 kB, 168.96 kB, 168.96 kB, 168.96
+ kB, 168.96 kB, 168.96 kB, 168.96 kB, 168.96 kB, 168.96 kB, 168.96 kB,
+ 168.96 kB, 168.96 kB]
+ size per thread: [84.48 kB, 84.48 kB, 84.48 kB, 84.48 kB, 84.48 kB, 84.48
+ kB, 84.48 kB, 84.48 kB, 84.48 kB, 84.48 kB, 84.48 kB, 84.48 kB, 84.48
+ kB, 84.48 kB]
+ threads: [2, 4, 6, 8, 10, 12, 14, 16, 18, 20, 22, 24, 26, 28]
+ threads per core: 2
+ total size: [168.96 kB, 337.92 kB, 506.88 kB, 675.84 kB, 844.80 kB, 1.01 MB,
+ 1.18 MB, 1.35 MB, 1.52 MB, 1.69 MB, 1.86 MB, 2.03 MB, 2.20 MB, 2.37 MB]
+ L3:
+ 1:
+ cores: [1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14]
+ results:
+ copy: [19.42 GB/s, 37.27 GB/s, 56.90 GB/s, 75.07 GB/s, 93.61 GB/s, 108.33
+ GB/s, 123.95 GB/s, 143.24 GB/s, 162.07 GB/s, 177.88 GB/s, 198.77 GB/s,
+ 217.00 GB/s, 234.64 GB/s, 246.39 GB/s]
+ daxpy: [24.12 GB/s, 43.71 GB/s, 64.78 GB/s, 86.43 GB/s, 105.13 GB/s, 141.19
+ GB/s, 144.98 GB/s, 182.06 GB/s, 187.33 GB/s, 221.05 GB/s, 228.39 GB/s,
+ 255.43 GB/s, 268.65 GB/s, 286.34 GB/s]
+ load: [16.79 GB/s, 33.51 GB/s, 50.99 GB/s, 67.55 GB/s, 81.59 GB/s, 97.46
+ GB/s, 112.97 GB/s, 129.95 GB/s, 149.39 GB/s, 166.83 GB/s, 182.36 GB/s,
+ 197.89 GB/s, 212.40 GB/s, 225.45 GB/s]
+ triad: [21.76 GB/s, 38.87 GB/s, 58.30 GB/s, 74.75 GB/s, 92.42 GB/s, 110.37
+ GB/s, 124.35 GB/s, 163.39 GB/s, 173.83 GB/s, 183.85 GB/s, 195.13 GB/s,
+ 211.93 GB/s, 259.65 GB/s, 261.98 GB/s]
+ update: [24.72 GB/s, 48.50 GB/s, 69.28 GB/s, 96.98 GB/s, 112.07 GB/s, 138.24
+ GB/s, 154.39 GB/s, 176.63 GB/s, 198.74 GB/s, 221.35 GB/s, 242.45 GB/s,
+ 274.58 GB/s, 292.93 GB/s, 301.96 GB/s]
+ size per core: [11.88 MB, 5.94 MB, 3.96 MB, 2.97 MB, 2.38 MB, 1.98 MB, 1.70
+ MB, 1.70 MB, 1.70 MB, 1.70 MB, 1.70 MB, 1.70 MB, 1.70 MB, 1.70 MB]
+ size per thread: [11.88 MB, 5.94 MB, 3.96 MB, 2.97 MB, 2.38 MB, 1.98 MB, 1.70
+ MB, 1.70 MB, 1.70 MB, 1.70 MB, 1.70 MB, 1.70 MB, 1.70 MB, 1.70 MB]
+ threads: [1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14]
+ threads per core: 1
+ total size: [11.88 MB, 11.88 MB, 11.88 MB, 11.88 MB, 11.88 MB, 11.88 MB, 11.88
+ MB, 13.58 MB, 15.27 MB, 16.97 MB, 18.67 MB, 20.37 MB, 22.06 MB, 23.76
+ MB]
+ 2:
+ cores: [1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14]
+ results:
+ copy: [20.81 GB/s, 41.39 GB/s, 61.54 GB/s, 81.92 GB/s, 99.96 GB/s, 118.68
+ GB/s, 136.55 GB/s, 155.74 GB/s, 175.99 GB/s, 195.09 GB/s, 212.99 GB/s,
+ 233.52 GB/s, 253.86 GB/s, 268.92 GB/s]
+ daxpy: [26.82 GB/s, 53.62 GB/s, 80.70 GB/s, 107.38 GB/s, 131.94 GB/s, 157.94
+ GB/s, 181.44 GB/s, 207.11 GB/s, 233.05 GB/s, 259.03 GB/s, 286.05 GB/s,
+ 311.01 GB/s, 336.16 GB/s, 358.71 GB/s]
+ load: [21.54 GB/s, 43.03 GB/s, 64.16 GB/s, 85.26 GB/s, 105.28 GB/s, 125.38
+ GB/s, 143.36 GB/s, 164.84 GB/s, 183.84 GB/s, 205.68 GB/s, 226.37 GB/s,
+ 246.16 GB/s, 268.06 GB/s, 286.48 GB/s]
+ triad: [24.19 GB/s, 48.31 GB/s, 71.81 GB/s, 94.35 GB/s, 115.20 GB/s, 137.38
+ GB/s, 155.73 GB/s, 178.03 GB/s, 200.69 GB/s, 223.93 GB/s, 246.20 GB/s,
+ 267.16 GB/s, 290.54 GB/s, 304.94 GB/s]
+ update: [26.77 GB/s, 53.58 GB/s, 79.24 GB/s, 106.46 GB/s, 130.27 GB/s, 155.82
+ GB/s, 178.97 GB/s, 205.62 GB/s, 230.89 GB/s, 256.74 GB/s, 281.95 GB/s,
+ 307.28 GB/s, 332.78 GB/s, 353.72 GB/s]
+ size per core: [11.88 MB, 5.94 MB, 3.96 MB, 2.97 MB, 2.38 MB, 1.98 MB, 1.70
+ MB, 1.70 MB, 1.70 MB, 1.70 MB, 1.70 MB, 1.70 MB, 1.70 MB, 1.70 MB]
+ size per thread: [5.94 MB, 2.97 MB, 1.98 MB, 1.49 MB, 1.19 MB, 0.99 MB, 848.57
+ kB, 848.57 kB, 848.57 kB, 848.57 kB, 848.57 kB, 848.57 kB, 848.57 kB,
+ 848.57 kB]
+ threads: [2, 4, 6, 8, 10, 12, 14, 16, 18, 20, 22, 24, 26, 28]
+ threads per core: 2
+ total size: [11.88 MB, 11.88 MB, 11.88 MB, 11.88 MB, 11.88 MB, 11.88 MB, 11.88
+ MB, 13.58 MB, 15.27 MB, 16.97 MB, 18.67 MB, 20.37 MB, 22.06 MB, 23.76
+ MB]
+ MEM:
+ 1:
+ cores: [1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14]
+ results:
+ copy: [10.04 GB/s, 15.17 GB/s, 16.65 GB/s, 17.45 GB/s, 17.46 GB/s, 17.65
+ GB/s, 17.69 GB/s, 20.10 GB/s, 22.82 GB/s, 25.26 GB/s, 27.74 GB/s, 30.08
+ GB/s, 32.67 GB/s, 34.64 GB/s]
+ daxpy: [14.52 GB/s, 22.09 GB/s, 24.71 GB/s, 25.84 GB/s, 26.19 GB/s, 26.47
+ GB/s, 26.30 GB/s, 30.27 GB/s, 33.63 GB/s, 37.65 GB/s, 41.53 GB/s, 45.08
+ GB/s, 48.63 GB/s, 51.78 GB/s]
+ load: [9.69 GB/s, 18.10 GB/s, 24.39 GB/s, 29.21 GB/s, 31.10 GB/s, 31.81
+ GB/s, 32.08 GB/s, 36.68 GB/s, 41.26 GB/s, 45.81 GB/s, 50.40 GB/s, 54.95
+ GB/s, 59.50 GB/s, 64.03 GB/s]
+ triad: [11.30 GB/s, 18.28 GB/s, 21.29 GB/s, 22.14 GB/s, 22.54 GB/s, 22.51
+ GB/s, 22.65 GB/s, 25.73 GB/s, 29.21 GB/s, 32.36 GB/s, 35.78 GB/s, 38.79
+ GB/s, 42.02 GB/s, 44.89 GB/s]
+ update: [14.00 GB/s, 20.73 GB/s, 23.58 GB/s, 23.84 GB/s, 23.53 GB/s, 23.26
+ GB/s, 23.21 GB/s, 26.41 GB/s, 30.03 GB/s, 33.04 GB/s, 36.41 GB/s, 39.90
+ GB/s, 43.03 GB/s, 46.12 GB/s]
+ size per core: [270.00 MB, 135.00 MB, 90.00 MB, 67.50 MB, 54.00 MB, 45.00
+ MB, 38.57 MB, 33.75 MB, 30.00 MB, 27.00 MB, 24.55 MB, 22.50 MB, 20.77
+ MB, 19.29 MB]
+ size per thread: [270.00 MB, 135.00 MB, 90.00 MB, 67.50 MB, 54.00 MB, 45.00
+ MB, 38.57 MB, 33.75 MB, 30.00 MB, 27.00 MB, 24.55 MB, 22.50 MB, 20.77
+ MB, 19.29 MB]
+ threads: [1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14]
+ threads per core: 1
+ total size: [270.00 MB, 270.00 MB, 270.00 MB, 270.00 MB, 270.00 MB, 270.00
+ MB, 270.00 MB, 270.00 MB, 270.00 MB, 270.00 MB, 270.00 MB, 270.00 MB,
+ 270.00 MB, 270.00 MB]
+ 2:
+ cores: [1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14]
+ results:
+ copy: [10.55 GB/s, 15.88 GB/s, 17.39 GB/s, 17.52 GB/s, 17.64 GB/s, 17.61
+ GB/s, 17.57 GB/s, 20.03 GB/s, 22.41 GB/s, 24.86 GB/s, 27.34 GB/s, 29.68
+ GB/s, 32.38 GB/s, 34.32 GB/s]
+ daxpy: [16.40 GB/s, 23.92 GB/s, 25.89 GB/s, 26.45 GB/s, 26.41 GB/s, 26.24
+ GB/s, 26.31 GB/s, 30.06 GB/s, 33.89 GB/s, 37.57 GB/s, 41.11 GB/s, 44.94
+ GB/s, 48.62 GB/s, 51.34 GB/s]
+ load: [12.45 GB/s, 22.96 GB/s, 29.88 GB/s, 31.75 GB/s, 32.03 GB/s, 32.18
+ GB/s, 32.18 GB/s, 36.78 GB/s, 41.33 GB/s, 45.93 GB/s, 50.54 GB/s, 55.13
+ GB/s, 59.65 GB/s, 63.56 GB/s]
+ triad: [12.14 GB/s, 19.34 GB/s, 21.99 GB/s, 22.42 GB/s, 22.35 GB/s, 22.29
+ GB/s, 22.29 GB/s, 25.70 GB/s, 28.76 GB/s, 32.08 GB/s, 35.23 GB/s, 38.25
+ GB/s, 41.77 GB/s, 44.32 GB/s]
+ update: [17.16 GB/s, 23.49 GB/s, 23.46 GB/s, 22.92 GB/s, 22.99 GB/s, 22.63
+ GB/s, 22.71 GB/s, 25.64 GB/s, 29.04 GB/s, 32.33 GB/s, 35.40 GB/s, 38.95
+ GB/s, 42.03 GB/s, 44.78 GB/s]
+ size per core: [270.00 MB, 135.00 MB, 90.00 MB, 67.50 MB, 54.00 MB, 45.00
+ MB, 38.57 MB, 33.75 MB, 30.00 MB, 27.00 MB, 24.55 MB, 22.50 MB, 20.77
+ MB, 19.29 MB]
+ size per thread: [135.00 MB, 67.50 MB, 45.00 MB, 33.75 MB, 27.00 MB, 22.50
+ MB, 19.29 MB, 16.88 MB, 15.00 MB, 13.50 MB, 12.27 MB, 11.25 MB, 10.38
+ MB, 9.64 MB]
+ threads: [2, 4, 6, 8, 10, 12, 14, 16, 18, 20, 22, 24, 26, 28]
+ threads per core: 2
+ total size: [270.00 MB, 270.00 MB, 270.00 MB, 270.00 MB, 270.00 MB, 270.00
+ MB, 270.00 MB, 270.00 MB, 270.00 MB, 270.00 MB, 270.00 MB, 270.00 MB,
+ 270.00 MB, 270.00 MB]
diff --git a/benchmarks/lbmpy/machine-files/IvyBridgeEP_E5-2660v2.yml b/benchmarks/lbmpy/machine-files/IvyBridgeEP_E5-2660v2.yml
new file mode 100644
index 0000000000000000000000000000000000000000..e4f5bec56e1c46fd69c726951461c319f698b984
--- /dev/null
+++ b/benchmarks/lbmpy/machine-files/IvyBridgeEP_E5-2660v2.yml
@@ -0,0 +1,289 @@
+kerncraft version: 0.8.1.dev0
+FLOPs per cycle:
+ SP: {total: 16, ADD: 8, MUL: 8}
+ DP: {total: 8, ADD: 4, MUL: 4}
+cacheline size: 64 B
+clock: 2.2 GHz
+cores per socket: 10
+cores per NUMA domain: 10
+NUMA domains per socket: 1
+compiler:
+ !!omap
+ - icc: -O3 -xAVX -fno-alias -qopenmp
+ - clang: -O3 -mavx -D_POSIX_C_SOURCE=200809L -fopenmp
+ - gcc: -O3 -march=corei7-avx -D_POSIX_C_SOURCE=200809L -fopenmp -lm
+write-allocate: True
+
+memory hierarchy:
+ - level: L1
+ cache per group: {
+ 'sets': 64, 'ways': 8, 'cl_size': 64, # 32 kB
+ 'replacement_policy': 'LRU',
+ 'write_allocate': True, 'write_back': True,
+ 'load_from': 'L2', 'store_to': 'L2'}
+ cores per group: 1
+ threads per group: 2
+ groups: 16
+ upstream throughput: ['architecture code analyzer', ['2D', '3D']]
+ transfers overlap: False
+ performance counter metrics:
+ accesses: MEM_UOPS_RETIRED_LOADS:PMC[0-3] + MEM_UOPS_RETIRED_STORES:PMC[0-3]
+ misses: L1D_REPLACEMENT:PMC[0-3]
+ evicts: L1D_M_EVICT:PMC[0-3]
+ - level: L2
+ cache per group: {
+ 'sets': 512, 'ways': 8, 'cl_size': 64, # 256 kB
+ 'replacement_policy': 'LRU',
+ 'write_allocate': True, 'write_back': True,
+ 'load_from': 'L3', 'store_to': 'L3'}
+ cores per group: 1
+ threads per group: 2
+ groups: 16
+ upstream throughput: [32 B/cy, 'half-duplex']
+ transfers overlap: False
+ performance counter metrics:
+ accesses: L1D_REPLACEMENT:PMC[0-3] + L1D_M_EVICT:PMC[0-3]
+ misses: L2_LINES_IN_ALL:PMC[0-3]
+ evicts: L2_LINES_OUT_DIRTY_ALL:PMC[0-3]
+ - level: L3
+ cache per group: {
+ 'sets': 25600, 'ways': 16, 'cl_size': 64, # 25 MB
+ 'replacement_policy': 'LRU',
+ 'write_allocate': True, 'write_back': True}
+ cores per group: 10
+ threads per group: 20
+ groups: 2
+ upstream throughput: [32 B/cy, 'half-duplex']
+ transfers overlap: False
+ performance counter metrics:
+ accesses: L2_LINES_IN_ALL:PMC[0-3] + L2_LINES_OUT_DIRTY_ALL:PMC[0-3]
+ misses: (CAS_COUNT_RD:MBOX0C[01] + CAS_COUNT_RD:MBOX1C[01] +
+ CAS_COUNT_RD:MBOX2C[01] + CAS_COUNT_RD:MBOX3C[01] +
+ CAS_COUNT_RD:MBOX4C[01] + CAS_COUNT_RD:MBOX5C[01] +
+ CAS_COUNT_RD:MBOX6C[01] + CAS_COUNT_RD:MBOX7C[01])
+ evicts: (CAS_COUNT_WR:MBOX0C[01] + CAS_COUNT_WR:MBOX1C[01] +
+ CAS_COUNT_WR:MBOX2C[01] + CAS_COUNT_WR:MBOX3C[01] +
+ CAS_COUNT_WR:MBOX4C[01] + CAS_COUNT_WR:MBOX5C[01] +
+ CAS_COUNT_WR:MBOX6C[01] + CAS_COUNT_WR:MBOX7C[01])
+ - level: MEM
+ cores per group: 10
+ upstream throughput: ['full socket memory bandwidth', 'half-duplex']
+ transfers overlap: False
+ size per group: null
+ threads per group: 20
+micro-architecture: IVB
+model name: Intel(R) Xeon(R) CPU E5-2660 v2 @ 2.20GHz
+model type: Intel Core IvyBridge EP processor
+sockets: 2
+threads per core: 2
+overlapping model:
+ ports: ["0", "0DV", "1", "2", "3", "4", "5"]
+ performance counter metric:
+ # sympy notation requires a Capitalized Max:
+ Max(UOPS_DISPATCHED_PORT_PORT_0:PMC[0-3],
+ UOPS_DISPATCHED_PORT_PORT_1:PMC[0-3],
+ UOPS_DISPATCHED_PORT_PORT_4:PMC[0-3],
+ UOPS_DISPATCHED_PORT_PORT_5:PMC[0-3])
+non-overlapping model:
+ ports: ["2D", "3D"]
+ performance counter metric: T_nOL + T_L1L2 + T_L2L3 + T_L3MEM
+benchmarks:
+ kernels:
+ copy:
+ FLOPs per iteration: 0
+ read streams: {bytes: 8.00 B, streams: 1}
+ read+write streams: {bytes: 0.00 B, streams: 0}
+ write streams: {bytes: 8.00 B, streams: 1}
+ daxpy:
+ FLOPs per iteration: 2
+ read streams: {bytes: 16.00 B, streams: 2}
+ read+write streams: {bytes: 8.00 B, streams: 1}
+ write streams: {bytes: 8.00 B, streams: 1}
+ load:
+ FLOPs per iteration: 0
+ read streams: {bytes: 8.00 B, streams: 1}
+ read+write streams: {bytes: 0.00 B, streams: 0}
+ write streams: {bytes: 0.00 B, streams: 0}
+ triad:
+ FLOPs per iteration: 2
+ read streams: {bytes: 24.00 B, streams: 3}
+ read+write streams: {bytes: 0.00 B, streams: 0}
+ write streams: {bytes: 8.00 B, streams: 1}
+ update:
+ FLOPs per iteration: 0
+ read streams: {bytes: 8.00 B, streams: 1}
+ read+write streams: {bytes: 8.00 B, streams: 1}
+ write streams: {bytes: 8.00 B, streams: 1}
+ measurements:
+ L1:
+ 1:
+ cores: [1, 2, 3, 4, 5, 6, 7, 8, 9, 10]
+ total size: [21.12 kB, 42.24 kB, 63.36 kB, 84.48 kB, 105.60 kB, 126.72 kB, 147.84 kB,
+ 168.96 kB, 190.08 kB, 211.20 kB]
+ results:
+ daxpy: [29.84 GB/s, 58.49 GB/s, 87.67 GB/s, 113.51 GB/s, 140.61 GB/s, 166.43 GB/s,
+ 194.39 GB/s, 222.78 GB/s, 237.22 GB/s, 262.74 GB/s]
+ load: [34.33 GB/s, 68.61 GB/s, 102.94 GB/s, 137.22 GB/s, 171.60 GB/s, 204.88 GB/s,
+ 240.23 GB/s, 274.50 GB/s, 309.16 GB/s, 343.49 GB/s]
+ triad: [33.81 GB/s, 68.61 GB/s, 102.38 GB/s, 136.23 GB/s, 169.45 GB/s, 204.28 GB/s,
+ 234.89 GB/s, 272.51 GB/s, 307.10 GB/s, 338.55 GB/s]
+ copy: [34.41 GB/s, 68.78 GB/s, 103.15 GB/s, 137.57 GB/s, 171.97 GB/s, 206.32 GB/s,
+ 227.03 GB/s, 275.11 GB/s, 262.77 GB/s, 298.81 GB/s]
+ update: [34.74 GB/s, 67.29 GB/s, 100.87 GB/s, 133.43 GB/s, 163.91 GB/s, 190.70 GB/s,
+ 217.53 GB/s, 246.28 GB/s, 271.40 GB/s, 304.33 GB/s]
+ size per core: [21.12 kB, 21.12 kB, 21.12 kB, 21.12 kB, 21.12 kB, 21.12 kB, 21.12 kB,
+ 21.12 kB, 21.12 kB, 21.12 kB]
+ size per thread: [21.12 kB, 21.12 kB, 21.12 kB, 21.12 kB, 21.12 kB, 21.12 kB, 21.12 kB,
+ 21.12 kB, 21.12 kB, 21.12 kB]
+ threads: [1, 2, 3, 4, 5, 6, 7, 8, 9, 10]
+ threads per core: 1
+ 2:
+ cores: [1, 2, 3, 4, 5, 6, 7, 8, 9, 10]
+ total size: [21.12 kB, 42.24 kB, 63.36 kB, 84.48 kB, 105.60 kB, 126.72 kB, 147.84 kB,
+ 168.96 kB, 190.08 kB, 211.20 kB]
+ results:
+ daxpy: [29.96 GB/s, 59.83 GB/s, 89.07 GB/s, 116.53 GB/s, 147.58 GB/s, 173.94 GB/s,
+ 194.59 GB/s, 229.95 GB/s, 258.85 GB/s, 290.99 GB/s]
+ load: [33.95 GB/s, 67.89 GB/s, 101.86 GB/s, 135.58 GB/s, 169.59 GB/s, 203.29 GB/s,
+ 237.15 GB/s, 271.25 GB/s, 306.66 GB/s, 340.40 GB/s]
+ triad: [33.74 GB/s, 67.60 GB/s, 100.80 GB/s, 132.04 GB/s, 165.88 GB/s, 198.32 GB/s,
+ 232.16 GB/s, 265.30 GB/s, 299.10 GB/s, 332.50 GB/s]
+ copy: [33.99 GB/s, 68.00 GB/s, 101.61 GB/s, 135.89 GB/s, 169.93 GB/s, 203.90 GB/s,
+ 229.36 GB/s, 267.70 GB/s, 305.01 GB/s, 336.99 GB/s]
+ update: [34.48 GB/s, 68.51 GB/s, 102.10 GB/s, 136.81 GB/s, 171.05 GB/s, 199.16 GB/s,
+ 229.21 GB/s, 267.59 GB/s, 293.19 GB/s, 329.93 GB/s]
+ size per core: [21.12 kB, 21.12 kB, 21.12 kB, 21.12 kB, 21.12 kB, 21.12 kB, 21.12 kB,
+ 21.12 kB, 21.12 kB, 21.12 kB]
+ size per thread: [10.56 kB, 10.56 kB, 10.56 kB, 10.56 kB, 10.56 kB, 10.56 kB, 10.56 kB,
+ 10.56 kB, 10.56 kB, 10.56 kB]
+ threads: [2, 4, 6, 8, 10, 12, 14, 16, 18, 20]
+ threads per core: 2
+ L2:
+ 1:
+ cores: [1, 2, 3, 4, 5, 6, 7, 8, 9, 10]
+ total size: [168.96 kB, 337.92 kB, 506.88 kB, 675.84 kB, 844.80 kB, 1.01 MB, 1.18 MB,
+ 1.35 MB, 1.52 MB, 1.69 MB]
+ results:
+ daxpy: [27.50 GB/s, 53.48 GB/s, 78.46 GB/s, 107.33 GB/s, 130.78 GB/s, 156.99 GB/s,
+ 182.29 GB/s, 205.48 GB/s, 236.01 GB/s, 260.62 GB/s]
+ load: [15.36 GB/s, 30.85 GB/s, 46.06 GB/s, 61.61 GB/s, 75.48 GB/s, 93.66 GB/s,
+ 105.55 GB/s, 121.20 GB/s, 135.82 GB/s, 151.27 GB/s]
+ triad: [26.41 GB/s, 50.97 GB/s, 78.07 GB/s, 96.25 GB/s, 119.70 GB/s, 149.42 GB/s,
+ 174.97 GB/s, 204.48 GB/s, 227.08 GB/s, 259.91 GB/s]
+ copy: [26.28 GB/s, 50.04 GB/s, 76.10 GB/s, 103.40 GB/s, 123.39 GB/s, 141.77 GB/s,
+ 174.39 GB/s, 189.58 GB/s, 215.97 GB/s, 252.53 GB/s]
+ update: [30.19 GB/s, 54.69 GB/s, 85.18 GB/s, 114.44 GB/s, 139.15 GB/s, 159.15 GB/s,
+ 192.95 GB/s, 224.20 GB/s, 243.27 GB/s, 272.15 GB/s]
+ size per core: [168.96 kB, 168.96 kB, 168.96 kB, 168.96 kB, 168.96 kB, 168.96 kB,
+ 168.96 kB, 168.96 kB, 168.96 kB, 168.96 kB]
+ size per thread: [168.96 kB, 168.96 kB, 168.96 kB, 168.96 kB, 168.96 kB, 168.96 kB,
+ 168.96 kB, 168.96 kB, 168.96 kB, 168.96 kB]
+ threads: [1, 2, 3, 4, 5, 6, 7, 8, 9, 10]
+ threads per core: 1
+ 2:
+ cores: [1, 2, 3, 4, 5, 6, 7, 8, 9, 10]
+ total size: [168.96 kB, 337.92 kB, 506.88 kB, 675.84 kB, 844.80 kB, 1.01 MB, 1.18 MB,
+ 1.35 MB, 1.52 MB, 1.69 MB]
+ results:
+ daxpy: [28.33 GB/s, 57.19 GB/s, 85.20 GB/s, 113.66 GB/s, 138.48 GB/s, 169.70 GB/s,
+ 196.08 GB/s, 224.49 GB/s, 253.58 GB/s, 277.88 GB/s]
+ load: [19.81 GB/s, 38.84 GB/s, 58.37 GB/s, 77.51 GB/s, 97.25 GB/s, 116.20 GB/s,
+ 135.64 GB/s, 154.75 GB/s, 174.52 GB/s, 193.24 GB/s]
+ triad: [28.35 GB/s, 55.17 GB/s, 82.07 GB/s, 112.64 GB/s, 136.94 GB/s, 166.66 GB/s,
+ 185.33 GB/s, 211.06 GB/s, 239.41 GB/s, 270.30 GB/s]
+ copy: [25.74 GB/s, 50.86 GB/s, 74.94 GB/s, 101.07 GB/s, 122.48 GB/s, 149.74 GB/s,
+ 179.53 GB/s, 203.46 GB/s, 223.45 GB/s, 247.77 GB/s]
+ update: [30.10 GB/s, 59.58 GB/s, 86.00 GB/s, 114.49 GB/s, 140.10 GB/s, 167.30 GB/s,
+ 197.44 GB/s, 218.13 GB/s, 262.43 GB/s, 285.91 GB/s]
+ size per core: [168.96 kB, 168.96 kB, 168.96 kB, 168.96 kB, 168.96 kB, 168.96 kB,
+ 168.96 kB, 168.96 kB, 168.96 kB, 168.96 kB]
+ size per thread: [84.48 kB, 84.48 kB, 84.48 kB, 84.48 kB, 84.48 kB, 84.48 kB, 84.48 kB,
+ 84.48 kB, 84.48 kB, 84.48 kB]
+ threads: [2, 4, 6, 8, 10, 12, 14, 16, 18, 20]
+ threads per core: 2
+ L3:
+ 1:
+ cores: [1, 2, 3, 4, 5, 6, 7, 8, 9, 10]
+ total size: [16.50 MB, 16.50 MB, 16.50 MB, 16.50 MB, 16.50 MB, 16.50 MB, 16.50 MB,
+ 16.50 MB, 16.50 MB, 16.50 MB]
+ results:
+ daxpy: [20.09 GB/s, 39.99 GB/s, 62.04 GB/s, 82.21 GB/s, 100.62 GB/s, 121.70 GB/s,
+ 138.33 GB/s, 161.99 GB/s, 179.70 GB/s, 200.46 GB/s]
+ load: [14.88 GB/s, 29.82 GB/s, 44.14 GB/s, 59.28 GB/s, 73.86 GB/s, 88.30 GB/s,
+ 102.74 GB/s, 117.17 GB/s, 131.20 GB/s, 145.87 GB/s]
+ triad: [18.44 GB/s, 36.73 GB/s, 54.91 GB/s, 73.40 GB/s, 91.98 GB/s, 110.78 GB/s,
+ 127.59 GB/s, 146.20 GB/s, 165.37 GB/s, 182.04 GB/s]
+ copy: [16.68 GB/s, 33.39 GB/s, 49.49 GB/s, 66.13 GB/s, 82.61 GB/s, 98.84 GB/s,
+ 114.44 GB/s, 130.98 GB/s, 146.57 GB/s, 160.46 GB/s]
+ update: [21.04 GB/s, 42.20 GB/s, 62.99 GB/s, 83.70 GB/s, 104.27 GB/s, 124.58 GB/s,
+ 144.62 GB/s, 164.93 GB/s, 184.33 GB/s, 203.88 GB/s]
+ size per core: [16.50 MB, 8.25 MB, 5.50 MB, 4.12 MB, 3.30 MB, 2.75 MB, 2.36 MB, 2.06 MB,
+ 1.83 MB, 1.65 MB]
+ size per thread: [16.50 MB, 8.25 MB, 5.50 MB, 4.12 MB, 3.30 MB, 2.75 MB, 2.36 MB, 2.06 MB,
+ 1.83 MB, 1.65 MB]
+ threads: [1, 2, 3, 4, 5, 6, 7, 8, 9, 10]
+ threads per core: 1
+ 2:
+ cores: [1, 2, 3, 4, 5, 6, 7, 8, 9, 10]
+ total size: [16.50 MB, 16.50 MB, 16.50 MB, 16.50 MB, 16.50 MB, 16.50 MB, 16.50 MB,
+ 16.50 MB, 16.50 MB, 16.50 MB]
+ results:
+ daxpy: [22.81 GB/s, 45.14 GB/s, 67.62 GB/s, 90.48 GB/s, 112.01 GB/s, 133.85 GB/s,
+ 156.14 GB/s, 177.79 GB/s, 198.96 GB/s, 220.23 GB/s]
+ load: [17.22 GB/s, 34.33 GB/s, 51.46 GB/s, 68.62 GB/s, 85.16 GB/s, 102.29 GB/s,
+ 119.52 GB/s, 136.56 GB/s, 153.18 GB/s, 169.46 GB/s]
+ triad: [19.86 GB/s, 39.74 GB/s, 59.56 GB/s, 78.59 GB/s, 98.06 GB/s, 117.43 GB/s,
+ 136.88 GB/s, 155.97 GB/s, 174.99 GB/s, 194.11 GB/s]
+ copy: [17.66 GB/s, 35.26 GB/s, 52.57 GB/s, 69.82 GB/s, 87.22 GB/s, 104.31 GB/s,
+ 120.03 GB/s, 137.58 GB/s, 152.09 GB/s, 170.04 GB/s]
+ update: [22.62 GB/s, 45.12 GB/s, 67.24 GB/s, 89.90 GB/s, 111.86 GB/s, 133.62 GB/s,
+ 155.48 GB/s, 177.58 GB/s, 198.83 GB/s, 219.45 GB/s]
+ size per core: [16.50 MB, 8.25 MB, 5.50 MB, 4.12 MB, 3.30 MB, 2.75 MB, 2.36 MB, 2.06 MB,
+ 1.83 MB, 1.65 MB]
+ size per thread: [8.25 MB, 4.12 MB, 2.75 MB, 2.06 MB, 1.65 MB, 1.38 MB, 1.18 MB, 1.03 MB,
+ 0.92 MB, 825.00 kB]
+ threads: [2, 4, 6, 8, 10, 12, 14, 16, 18, 20]
+ threads per core: 2
+ MEM:
+ 1:
+ cores: [1, 2, 3, 4, 5, 6, 7, 8, 9, 10]
+ total size: [375.00 MB, 375.00 MB, 375.00 MB, 375.00 MB, 375.00 MB, 375.00 MB, 375.00 MB,
+ 375.00 MB, 375.00 MB, 375.00 MB]
+ results:
+ daxpy: [14.87 GB/s, 28.41 GB/s, 35.32 GB/s, 38.16 GB/s, 39.57 GB/s, 39.95 GB/s,
+ 40.56 GB/s, 40.03 GB/s, 40.74 GB/s, 40.26 GB/s]
+ load: [9.48 GB/s, 18.78 GB/s, 27.19 GB/s, 34.20 GB/s, 40.15 GB/s, 43.99 GB/s, 45.68 GB/s,
+ 46.20 GB/s, 46.33 GB/s, 46.49 GB/s]
+ triad: [9.73 GB/s, 18.10 GB/s, 25.07 GB/s, 29.49 GB/s, 31.61 GB/s, 32.93 GB/s,
+ 33.02 GB/s, 33.08 GB/s, 33.13 GB/s, 33.04 GB/s]
+ copy: [9.65 GB/s, 18.29 GB/s, 23.82 GB/s, 25.83 GB/s, 26.69 GB/s, 26.82 GB/s, 27.06 GB/s,
+ 27.10 GB/s, 26.96 GB/s, 26.62 GB/s]
+ update: [15.26 GB/s, 28.26 GB/s, 33.56 GB/s, 35.44 GB/s, 36.74 GB/s, 37.13 GB/s,
+ 37.75 GB/s, 37.60 GB/s, 37.56 GB/s, 37.22 GB/s]
+ size per core: [375.00 MB, 187.50 MB, 125.00 MB, 93.75 MB, 75.00 MB, 62.50 MB, 53.57 MB,
+ 46.88 MB, 41.67 MB, 37.50 MB]
+ size per thread: [375.00 MB, 187.50 MB, 125.00 MB, 93.75 MB, 75.00 MB, 62.50 MB, 53.57 MB,
+ 46.88 MB, 41.67 MB, 37.50 MB]
+ threads: [1, 2, 3, 4, 5, 6, 7, 8, 9, 10]
+ threads per core: 1
+ 2:
+ cores: [1, 2, 3, 4, 5, 6, 7, 8, 9, 10]
+ total size: [375.00 MB, 375.00 MB, 375.00 MB, 375.00 MB, 375.00 MB, 375.00 MB, 375.00 MB,
+ 375.00 MB, 375.00 MB, 375.00 MB]
+ results:
+ daxpy: [14.10 GB/s, 26.34 GB/s, 34.68 GB/s, 38.15 GB/s, 39.37 GB/s, 39.44 GB/s,
+ 40.06 GB/s, 39.88 GB/s, 39.34 GB/s, 39.82 GB/s]
+ load: [12.56 GB/s, 24.17 GB/s, 34.13 GB/s, 41.50 GB/s, 44.75 GB/s, 45.64 GB/s,
+ 45.71 GB/s, 45.80 GB/s, 45.40 GB/s, 45.17 GB/s]
+ triad: [9.36 GB/s, 17.31 GB/s, 23.96 GB/s, 28.37 GB/s, 30.74 GB/s, 32.16 GB/s,
+ 32.51 GB/s, 32.66 GB/s, 32.42 GB/s, 32.48 GB/s]
+ copy: [8.74 GB/s, 16.27 GB/s, 21.91 GB/s, 24.68 GB/s, 26.08 GB/s, 26.55 GB/s, 26.60 GB/s,
+ 26.50 GB/s, 26.61 GB/s, 26.63 GB/s]
+ update: [18.04 GB/s, 32.27 GB/s, 36.13 GB/s, 37.49 GB/s, 37.68 GB/s, 37.18 GB/s,
+ 36.25 GB/s, 34.93 GB/s, 35.47 GB/s, 35.78 GB/s]
+ size per core: [375.00 MB, 187.50 MB, 125.00 MB, 93.75 MB, 75.00 MB, 62.50 MB, 53.57 MB,
+ 46.88 MB, 41.67 MB, 37.50 MB]
+ size per thread: [187.50 MB, 93.75 MB, 62.50 MB, 46.88 MB, 37.50 MB, 31.25 MB, 26.79 MB,
+ 23.44 MB, 20.83 MB, 18.75 MB]
+ threads: [2, 4, 6, 8, 10, 12, 14, 16, 18, 20]
+ threads per core: 2
diff --git a/benchmarks/lbmpy/machine-files/SkylakeSP_Gold-6148.yml b/benchmarks/lbmpy/machine-files/SkylakeSP_Gold-6148.yml
new file mode 100644
index 0000000000000000000000000000000000000000..b0939a13d0b6861da98eb4121a73e4368d87dc7d
--- /dev/null
+++ b/benchmarks/lbmpy/machine-files/SkylakeSP_Gold-6148.yml
@@ -0,0 +1,1884 @@
+# FIXME
+# FIXME 16B/cy bidirectional transfers between L2 and L3 are not (yet) supported by kerncraft
+# FIXME performance counters might be wrong. This will only affect the Benchmark model
+# FIXME bandwidth measurements need validataion
+# FIXME
+kerncraft version: 0.8.1.dev0
+
+model name: Intel(R) Xeon(R) Gold 6148 CPU @ 2.40GHz
+model type: Intel Skylake SP processor
+sockets: 2
+cores per socket: 20
+threads per core: 2
+NUMA domains per socket: 1
+cores per NUMA domain: 20
+clock: 2.4 GHz
+FLOPs per cycle:
+ SP:
+ total: 64
+ FMA: 64
+ ADD: 32
+ MUL: 32
+ DP:
+ total: 32
+ FMA: 32
+ ADD: 16
+ MUL: 16
+micro-architecture: SKX
+compiler:
+ !!omap
+ - icc: -O3 -fno-alias -xCORE-AVX512 -qopenmp -qopt-zmm-usage=high
+ - clang: -O3 -march=skylake-avx512 -D_POSIX_C_SOURCE=200809L -fopenmp
+ - gcc: -O3 -march=skylake-avx512 -D_POSIX_C_SOURCE=200809L -fopenmp -lm
+cacheline size: 64 B
+overlapping model:
+ ports: ["0", "0DV", "1", "2", "3", "4", "5", "6", "7"]
+ performance counter metric:
+ Max(UOPS_DISPATCHED_PORT_PORT_0:PMC[0-3],
+ UOPS_DISPATCHED_PORT_PORT_1:PMC[0-3],
+ UOPS_DISPATCHED_PORT_PORT_4:PMC[0-3],
+ UOPS_DISPATCHED_PORT_PORT_5:PMC[0-3],
+ UOPS_DISPATCHED_PORT_PORT_6:PMC[0-3],
+ UOPS_DISPATCHED_PORT_PORT_7:PMC[0-3])
+non-overlapping model:
+ ports: ["2D", "3D"]
+ performance counter metric:
+ T_nOL + T_L2 + T_L3 + T_MEM
+memory hierarchy:
+- level: L1
+ # non-overlap upstream throughput is gathered from port assignment (non-overlapping model -> ports)
+ performance counter metrics:
+ accesses: MEM_INST_RETIRED_ALL_LOADS:PMC[0-3] + MEM_INST_RETIRED_ALL_STORES:PMC[0-3]
+ misses: L1D_REPLACEMENT:PMC[0-3]
+ evicts: L2_TRANS_L1D_WB:PMC[0-3]
+ cache per group:
+ sets: 64
+ ways: 8
+ cl_size: 64
+ replacement_policy: 'LRU'
+ write_allocate: True
+ write_back: True
+ load_from: L2
+ store_to: L2
+ size per group: 32.00 kB
+ groups: 20
+ cores per group: 1
+ threads per group: 2
+ upstream throughput: ['architecture code analyzer', ['2D', '3D']]
+ transfers overlap: False
+- level: L2
+ upstream throughput: [64 B/cy, 'half-duplex']
+ transfers overlap: False
+ performance counter metrics:
+ accesses: L1D_REPLACEMENT:PMC[0-3] + L2_TRANS_L1D_WB:PMC[0-3]
+ misses: L2_LINES_IN_ALL:PMC[0-3]
+ evicts: L2_TRANS_L2_WB:PMC[0-3]
+ cache per group:
+ sets: 1024
+ ways: 16
+ cl_size: 64
+ replacement_policy: 'LRU'
+ write_allocate: True
+ write_back: True
+ load_from: null # L3 is a victim cache, thus unless a hit in L3, misses get forwarded to MEM
+ victims_to: L3 # all victims, modified or not are passed onto L3
+ store_to: L3
+ size per group: 1.00 MB
+ groups: 20
+ cores per group: 1
+ threads per group: 2
+- level: L3
+ upstream throughput: [16 B/cy, 'full-duplex']
+ transfers overlap: False
+ performance counter metrics:
+ accesses: L2_LINES_IN_ALL:PMC[0-3] + L2_TRANS_L2_WB:PMC[0-3]
+ # FIXME not all misses in L2 lead to loads from L3, only the hits do
+ misses: (CAS_COUNT_RD:MBOX0C[01] + CAS_COUNT_RD:MBOX1C[01] +
+ CAS_COUNT_RD:MBOX2C[01] + CAS_COUNT_RD:MBOX3C[01] +
+ CAS_COUNT_RD:MBOX4C[01] + CAS_COUNT_RD:MBOX5C[01])
+ evicts: (CAS_COUNT_WR:MBOX0C[01] + CAS_COUNT_WR:MBOX1C[01] +
+ CAS_COUNT_WR:MBOX2C[01] + CAS_COUNT_WR:MBOX3C[01] +
+ CAS_COUNT_WR:MBOX4C[01] + CAS_COUNT_WR:MBOX5C[01])
+ cache per group:
+ sets: 24576
+ ways: 11
+ cl_size: 64
+ replacement_policy: 'LRU'
+ write_allocate: False
+ write_back: True
+ size per group: 28 MB
+ groups: 1
+ cores per group: 20
+ threads per group: 40
+- level: MEM
+ upstream throughput: ['full socket memory bandwidth', 'half-duplex']
+ transfers overlap: False
+ cores per group: 40
+ threads per group: 80
+ penalty cycles per read stream: 0
+benchmarks:
+ kernels:
+ load:
+ write streams:
+ streams: 0
+ bytes: 0.00 B
+ read+write streams:
+ streams: 0
+ bytes: 0.00 B
+ FLOPs per iteration: 0
+ read streams:
+ streams: 1
+ bytes: 8.00 B
+ daxpy:
+ write streams:
+ streams: 1
+ bytes: 8.00 B
+ read+write streams:
+ streams: 1
+ bytes: 8.00 B
+ FLOPs per iteration: 2
+ read streams:
+ streams: 2
+ bytes: 16.00 B
+ update:
+ write streams:
+ streams: 1
+ bytes: 8.00 B
+ read+write streams:
+ streams: 1
+ bytes: 8.00 B
+ FLOPs per iteration: 0
+ read streams:
+ streams: 1
+ bytes: 8.00 B
+ copy:
+ write streams:
+ streams: 1
+ bytes: 8.00 B
+ read+write streams:
+ streams: 0
+ bytes: 0.00 B
+ FLOPs per iteration: 0
+ read streams:
+ streams: 1
+ bytes: 8.00 B
+ triad:
+ write streams:
+ streams: 1
+ bytes: 8.00 B
+ read+write streams:
+ streams: 0
+ bytes: 0.00 B
+ FLOPs per iteration: 2
+ read streams:
+ streams: 3
+ bytes: 24.00 B
+ measurements:
+ L1:
+ 1:
+ total size:
+ - 21.12 kB
+ - 42.24 kB
+ - 63.36 kB
+ - 84.48 kB
+ - 105.60 kB
+ - 126.72 kB
+ - 147.84 kB
+ - 168.96 kB
+ - 190.08 kB
+ - 211.20 kB
+ - 232.32 kB
+ - 253.44 kB
+ - 274.56 kB
+ - 295.68 kB
+ - 316.80 kB
+ - 337.92 kB
+ - 359.04 kB
+ - 380.16 kB
+ - 401.28 kB
+ - 422.40 kB
+ cores:
+ - 1
+ - 2
+ - 3
+ - 4
+ - 5
+ - 6
+ - 7
+ - 8
+ - 9
+ - 10
+ - 11
+ - 12
+ - 13
+ - 14
+ - 15
+ - 16
+ - 17
+ - 18
+ - 19
+ - 20
+ size per core:
+ - 21.12 kB
+ - 21.12 kB
+ - 21.12 kB
+ - 21.12 kB
+ - 21.12 kB
+ - 21.12 kB
+ - 21.12 kB
+ - 21.12 kB
+ - 21.12 kB
+ - 21.12 kB
+ - 21.12 kB
+ - 21.12 kB
+ - 21.12 kB
+ - 21.12 kB
+ - 21.12 kB
+ - 21.12 kB
+ - 21.12 kB
+ - 21.12 kB
+ - 21.12 kB
+ - 21.12 kB
+ results:
+ load:
+ - 28.72 GB/s
+ - 57.34 GB/s
+ - 86.26 GB/s
+ - 114.96 GB/s
+ - 143.68 GB/s
+ - 172.39 GB/s
+ - 201.05 GB/s
+ - 229.74 GB/s
+ - 250.00 GB/s
+ - 285.13 GB/s
+ - 315.12 GB/s
+ - 343.60 GB/s
+ - 372.26 GB/s
+ - 401.85 GB/s
+ - 429.44 GB/s
+ - 430.40 GB/s
+ - 437.86 GB/s
+ - 500.94 GB/s
+ - 541.61 GB/s
+ - 572.51 GB/s
+ update:
+ - 37.93 GB/s
+ - 75.58 GB/s
+ - 111.53 GB/s
+ - 151.53 GB/s
+ - 189.44 GB/s
+ - 225.61 GB/s
+ - 256.29 GB/s
+ - 278.90 GB/s
+ - 284.31 GB/s
+ - 327.88 GB/s
+ - 364.47 GB/s
+ - 446.18 GB/s
+ - 482.94 GB/s
+ - 501.59 GB/s
+ - 540.84 GB/s
+ - 565.67 GB/s
+ - 538.80 GB/s
+ - 534.89 GB/s
+ - 612.20 GB/s
+ - 618.37 GB/s
+ daxpy:
+ - 25.41 GB/s
+ - 50.65 GB/s
+ - 75.85 GB/s
+ - 101.34 GB/s
+ - 125.94 GB/s
+ - 146.99 GB/s
+ - 171.65 GB/s
+ - 196.48 GB/s
+ - 212.64 GB/s
+ - 234.85 GB/s
+ - 257.67 GB/s
+ - 271.35 GB/s
+ - 291.32 GB/s
+ - 312.21 GB/s
+ - 334.45 GB/s
+ - 352.67 GB/s
+ - 339.14 GB/s
+ - 389.38 GB/s
+ - 411.72 GB/s
+ - 425.68 GB/s
+ copy:
+ - 37.53 GB/s
+ - 74.69 GB/s
+ - 112.40 GB/s
+ - 150.06 GB/s
+ - 187.63 GB/s
+ - 225.07 GB/s
+ - 262.59 GB/s
+ - 300.08 GB/s
+ - 290.13 GB/s
+ - 322.48 GB/s
+ - 347.56 GB/s
+ - 377.68 GB/s
+ - 400.64 GB/s
+ - 430.28 GB/s
+ - 467.60 GB/s
+ - 509.20 GB/s
+ - 534.80 GB/s
+ - 565.91 GB/s
+ - 580.95 GB/s
+ - 631.69 GB/s
+ triad:
+ - 32.08 GB/s
+ - 62.17 GB/s
+ - 92.03 GB/s
+ - 122.77 GB/s
+ - 155.92 GB/s
+ - 185.99 GB/s
+ - 218.10 GB/s
+ - 249.66 GB/s
+ - 281.26 GB/s
+ - 311.46 GB/s
+ - 340.28 GB/s
+ - 361.27 GB/s
+ - 384.10 GB/s
+ - 418.83 GB/s
+ - 444.39 GB/s
+ - 463.77 GB/s
+ - 475.25 GB/s
+ - 508.81 GB/s
+ - 532.42 GB/s
+ - 568.51 GB/s
+ threads per core: 1
+ size per thread:
+ - 21.12 kB
+ - 21.12 kB
+ - 21.12 kB
+ - 21.12 kB
+ - 21.12 kB
+ - 21.12 kB
+ - 21.12 kB
+ - 21.12 kB
+ - 21.12 kB
+ - 21.12 kB
+ - 21.12 kB
+ - 21.12 kB
+ - 21.12 kB
+ - 21.12 kB
+ - 21.12 kB
+ - 21.12 kB
+ - 21.12 kB
+ - 21.12 kB
+ - 21.12 kB
+ - 21.12 kB
+ threads:
+ - 1
+ - 2
+ - 3
+ - 4
+ - 5
+ - 6
+ - 7
+ - 8
+ - 9
+ - 10
+ - 11
+ - 12
+ - 13
+ - 14
+ - 15
+ - 16
+ - 17
+ - 18
+ - 19
+ - 20
+ 2:
+ total size:
+ - 21.12 kB
+ - 42.24 kB
+ - 63.36 kB
+ - 84.48 kB
+ - 105.60 kB
+ - 126.72 kB
+ - 147.84 kB
+ - 168.96 kB
+ - 190.08 kB
+ - 211.20 kB
+ - 232.32 kB
+ - 253.44 kB
+ - 274.56 kB
+ - 295.68 kB
+ - 316.80 kB
+ - 337.92 kB
+ - 359.04 kB
+ - 380.16 kB
+ - 401.28 kB
+ - 422.40 kB
+ cores:
+ - 1
+ - 2
+ - 3
+ - 4
+ - 5
+ - 6
+ - 7
+ - 8
+ - 9
+ - 10
+ - 11
+ - 12
+ - 13
+ - 14
+ - 15
+ - 16
+ - 17
+ - 18
+ - 19
+ - 20
+ size per core:
+ - 21.12 kB
+ - 21.12 kB
+ - 21.12 kB
+ - 21.12 kB
+ - 21.12 kB
+ - 21.12 kB
+ - 21.12 kB
+ - 21.12 kB
+ - 21.12 kB
+ - 21.12 kB
+ - 21.12 kB
+ - 21.12 kB
+ - 21.12 kB
+ - 21.12 kB
+ - 21.12 kB
+ - 21.12 kB
+ - 21.12 kB
+ - 21.12 kB
+ - 21.12 kB
+ - 21.12 kB
+ results:
+ load:
+ - 32.64 GB/s
+ - 65.28 GB/s
+ - 97.89 GB/s
+ - 130.53 GB/s
+ - 163.17 GB/s
+ - 195.42 GB/s
+ - 228.43 GB/s
+ - 261.06 GB/s
+ - 288.81 GB/s
+ - 326.32 GB/s
+ - 358.95 GB/s
+ - 391.54 GB/s
+ - 424.21 GB/s
+ - 456.79 GB/s
+ - 483.67 GB/s
+ - 515.85 GB/s
+ - 554.72 GB/s
+ - 579.81 GB/s
+ - 619.95 GB/s
+ - 643.69 GB/s
+ update:
+ - 37.93 GB/s
+ - 75.85 GB/s
+ - 113.80 GB/s
+ - 151.76 GB/s
+ - 189.66 GB/s
+ - 227.56 GB/s
+ - 265.49 GB/s
+ - 302.87 GB/s
+ - 328.96 GB/s
+ - 368.46 GB/s
+ - 401.45 GB/s
+ - 438.47 GB/s
+ - 476.51 GB/s
+ - 501.14 GB/s
+ - 552.60 GB/s
+ - 584.62 GB/s
+ - 620.44 GB/s
+ - 650.03 GB/s
+ - 692.42 GB/s
+ - 734.02 GB/s
+ daxpy:
+ - 28.52 GB/s
+ - 57.00 GB/s
+ - 85.28 GB/s
+ - 113.06 GB/s
+ - 138.08 GB/s
+ - 166.93 GB/s
+ - 193.64 GB/s
+ - 223.49 GB/s
+ - 249.55 GB/s
+ - 278.82 GB/s
+ - 306.74 GB/s
+ - 327.24 GB/s
+ - 347.23 GB/s
+ - 368.94 GB/s
+ - 394.20 GB/s
+ - 418.27 GB/s
+ - 434.30 GB/s
+ - 452.19 GB/s
+ - 483.55 GB/s
+ - 507.60 GB/s
+ copy:
+ - 37.50 GB/s
+ - 74.35 GB/s
+ - 112.54 GB/s
+ - 146.50 GB/s
+ - 185.66 GB/s
+ - 224.20 GB/s
+ - 260.82 GB/s
+ - 297.73 GB/s
+ - 335.26 GB/s
+ - 370.51 GB/s
+ - 411.47 GB/s
+ - 443.68 GB/s
+ - 482.16 GB/s
+ - 515.09 GB/s
+ - 554.30 GB/s
+ - 587.24 GB/s
+ - 626.61 GB/s
+ - 662.25 GB/s
+ - 700.70 GB/s
+ - 735.70 GB/s
+ triad:
+ - 36.97 GB/s
+ - 74.19 GB/s
+ - 110.87 GB/s
+ - 144.77 GB/s
+ - 180.76 GB/s
+ - 216.27 GB/s
+ - 254.38 GB/s
+ - 289.05 GB/s
+ - 323.74 GB/s
+ - 360.53 GB/s
+ - 398.33 GB/s
+ - 373.15 GB/s
+ - 446.28 GB/s
+ - 486.27 GB/s
+ - 521.56 GB/s
+ - 542.35 GB/s
+ - 563.35 GB/s
+ - 593.56 GB/s
+ - 631.77 GB/s
+ - 662.34 GB/s
+ threads per core: 2
+ size per thread:
+ - 10.56 kB
+ - 10.56 kB
+ - 10.56 kB
+ - 10.56 kB
+ - 10.56 kB
+ - 10.56 kB
+ - 10.56 kB
+ - 10.56 kB
+ - 10.56 kB
+ - 10.56 kB
+ - 10.56 kB
+ - 10.56 kB
+ - 10.56 kB
+ - 10.56 kB
+ - 10.56 kB
+ - 10.56 kB
+ - 10.56 kB
+ - 10.56 kB
+ - 10.56 kB
+ - 10.56 kB
+ threads:
+ - 2
+ - 4
+ - 6
+ - 8
+ - 10
+ - 12
+ - 14
+ - 16
+ - 18
+ - 20
+ - 22
+ - 24
+ - 26
+ - 28
+ - 30
+ - 32
+ - 34
+ - 36
+ - 38
+ - 40
+ L2:
+ 1:
+ total size:
+ - 660.00 kB
+ - 1.32 MB
+ - 1.98 MB
+ - 2.64 MB
+ - 3.30 MB
+ - 3.96 MB
+ - 4.62 MB
+ - 5.28 MB
+ - 5.94 MB
+ - 6.60 MB
+ - 7.26 MB
+ - 7.92 MB
+ - 8.58 MB
+ - 9.24 MB
+ - 9.90 MB
+ - 10.56 MB
+ - 11.22 MB
+ - 11.88 MB
+ - 12.54 MB
+ - 13.20 MB
+ cores:
+ - 1
+ - 2
+ - 3
+ - 4
+ - 5
+ - 6
+ - 7
+ - 8
+ - 9
+ - 10
+ - 11
+ - 12
+ - 13
+ - 14
+ - 15
+ - 16
+ - 17
+ - 18
+ - 19
+ - 20
+ size per core:
+ - 660.00 kB
+ - 660.00 kB
+ - 660.00 kB
+ - 660.00 kB
+ - 660.00 kB
+ - 660.00 kB
+ - 660.00 kB
+ - 660.00 kB
+ - 660.00 kB
+ - 660.00 kB
+ - 660.00 kB
+ - 660.00 kB
+ - 660.00 kB
+ - 660.00 kB
+ - 660.00 kB
+ - 660.00 kB
+ - 660.00 kB
+ - 660.00 kB
+ - 660.00 kB
+ - 660.00 kB
+ results:
+ load:
+ - 18.17 GB/s
+ - 36.33 GB/s
+ - 54.55 GB/s
+ - 72.21 GB/s
+ - 90.30 GB/s
+ - 108.24 GB/s
+ - 126.39 GB/s
+ - 144.45 GB/s
+ - 162.60 GB/s
+ - 180.69 GB/s
+ - 198.67 GB/s
+ - 216.58 GB/s
+ - 234.74 GB/s
+ - 252.62 GB/s
+ - 270.96 GB/s
+ - 289.10 GB/s
+ - 306.60 GB/s
+ - 325.08 GB/s
+ - 343.08 GB/s
+ - 361.18 GB/s
+ update:
+ - 34.04 GB/s
+ - 67.86 GB/s
+ - 101.62 GB/s
+ - 134.26 GB/s
+ - 168.00 GB/s
+ - 201.78 GB/s
+ - 237.03 GB/s
+ - 270.76 GB/s
+ - 264.03 GB/s
+ - 335.63 GB/s
+ - 370.96 GB/s
+ - 390.16 GB/s
+ - 437.63 GB/s
+ - 469.64 GB/s
+ - 503.01 GB/s
+ - 536.54 GB/s
+ - 553.00 GB/s
+ - 532.06 GB/s
+ - 635.64 GB/s
+ - 666.03 GB/s
+ daxpy:
+ - 24.60 GB/s
+ - 48.75 GB/s
+ - 74.40 GB/s
+ - 98.62 GB/s
+ - 122.10 GB/s
+ - 146.14 GB/s
+ - 168.82 GB/s
+ - 195.83 GB/s
+ - 221.18 GB/s
+ - 242.73 GB/s
+ - 269.05 GB/s
+ - 289.47 GB/s
+ - 303.14 GB/s
+ - 312.79 GB/s
+ - 350.40 GB/s
+ - 347.94 GB/s
+ - 380.37 GB/s
+ - 401.94 GB/s
+ - 419.27 GB/s
+ - 446.08 GB/s
+ copy:
+ - 30.04 GB/s
+ - 60.05 GB/s
+ - 89.96 GB/s
+ - 113.54 GB/s
+ - 149.58 GB/s
+ - 182.45 GB/s
+ - 210.58 GB/s
+ - 235.04 GB/s
+ - 270.10 GB/s
+ - 303.78 GB/s
+ - 334.10 GB/s
+ - 360.95 GB/s
+ - 355.37 GB/s
+ - 423.18 GB/s
+ - 445.70 GB/s
+ - 478.72 GB/s
+ - 505.99 GB/s
+ - 538.19 GB/s
+ - 559.05 GB/s
+ - 517.40 GB/s
+ triad:
+ - 30.84 GB/s
+ - 61.52 GB/s
+ - 91.43 GB/s
+ - 121.41 GB/s
+ - 154.26 GB/s
+ - 184.86 GB/s
+ - 200.81 GB/s
+ - 244.58 GB/s
+ - 273.19 GB/s
+ - 301.74 GB/s
+ - 332.75 GB/s
+ - 358.00 GB/s
+ - 374.67 GB/s
+ - 409.66 GB/s
+ - 393.65 GB/s
+ - 452.34 GB/s
+ - 477.36 GB/s
+ - 498.52 GB/s
+ - 532.31 GB/s
+ - 550.20 GB/s
+ threads per core: 1
+ size per thread:
+ - 660.00 kB
+ - 660.00 kB
+ - 660.00 kB
+ - 660.00 kB
+ - 660.00 kB
+ - 660.00 kB
+ - 660.00 kB
+ - 660.00 kB
+ - 660.00 kB
+ - 660.00 kB
+ - 660.00 kB
+ - 660.00 kB
+ - 660.00 kB
+ - 660.00 kB
+ - 660.00 kB
+ - 660.00 kB
+ - 660.00 kB
+ - 660.00 kB
+ - 660.00 kB
+ - 660.00 kB
+ threads:
+ - 1
+ - 2
+ - 3
+ - 4
+ - 5
+ - 6
+ - 7
+ - 8
+ - 9
+ - 10
+ - 11
+ - 12
+ - 13
+ - 14
+ - 15
+ - 16
+ - 17
+ - 18
+ - 19
+ - 20
+ 2:
+ total size:
+ - 660.00 kB
+ - 1.32 MB
+ - 1.98 MB
+ - 2.64 MB
+ - 3.30 MB
+ - 3.96 MB
+ - 4.62 MB
+ - 5.28 MB
+ - 5.94 MB
+ - 6.60 MB
+ - 7.26 MB
+ - 7.92 MB
+ - 8.58 MB
+ - 9.24 MB
+ - 9.90 MB
+ - 10.56 MB
+ - 11.22 MB
+ - 11.88 MB
+ - 12.54 MB
+ - 13.20 MB
+ cores:
+ - 1
+ - 2
+ - 3
+ - 4
+ - 5
+ - 6
+ - 7
+ - 8
+ - 9
+ - 10
+ - 11
+ - 12
+ - 13
+ - 14
+ - 15
+ - 16
+ - 17
+ - 18
+ - 19
+ - 20
+ size per core:
+ - 660.00 kB
+ - 660.00 kB
+ - 660.00 kB
+ - 660.00 kB
+ - 660.00 kB
+ - 660.00 kB
+ - 660.00 kB
+ - 660.00 kB
+ - 660.00 kB
+ - 660.00 kB
+ - 660.00 kB
+ - 660.00 kB
+ - 660.00 kB
+ - 660.00 kB
+ - 660.00 kB
+ - 660.00 kB
+ - 660.00 kB
+ - 660.00 kB
+ - 660.00 kB
+ - 660.00 kB
+ results:
+ load:
+ - 23.69 GB/s
+ - 46.72 GB/s
+ - 70.45 GB/s
+ - 93.39 GB/s
+ - 118.22 GB/s
+ - 141.02 GB/s
+ - 166.16 GB/s
+ - 186.58 GB/s
+ - 210.64 GB/s
+ - 237.61 GB/s
+ - 257.04 GB/s
+ - 281.86 GB/s
+ - 306.60 GB/s
+ - 329.54 GB/s
+ - 350.18 GB/s
+ - 378.82 GB/s
+ - 400.87 GB/s
+ - 424.99 GB/s
+ - 447.73 GB/s
+ - 468.74 GB/s
+ update:
+ - 33.54 GB/s
+ - 66.75 GB/s
+ - 99.77 GB/s
+ - 135.67 GB/s
+ - 169.52 GB/s
+ - 200.66 GB/s
+ - 233.92 GB/s
+ - 269.10 GB/s
+ - 305.09 GB/s
+ - 334.65 GB/s
+ - 372.92 GB/s
+ - 406.75 GB/s
+ - 440.53 GB/s
+ - 469.60 GB/s
+ - 505.77 GB/s
+ - 535.68 GB/s
+ - 576.23 GB/s
+ - 610.05 GB/s
+ - 643.85 GB/s
+ - 677.66 GB/s
+ daxpy:
+ - 28.65 GB/s
+ - 57.24 GB/s
+ - 85.83 GB/s
+ - 114.32 GB/s
+ - 142.74 GB/s
+ - 171.72 GB/s
+ - 200.21 GB/s
+ - 227.95 GB/s
+ - 257.28 GB/s
+ - 285.38 GB/s
+ - 314.19 GB/s
+ - 336.92 GB/s
+ - 356.39 GB/s
+ - 384.02 GB/s
+ - 410.92 GB/s
+ - 429.69 GB/s
+ - 445.82 GB/s
+ - 471.23 GB/s
+ - 496.08 GB/s
+ - 524.31 GB/s
+ copy:
+ - 28.31 GB/s
+ - 56.26 GB/s
+ - 84.88 GB/s
+ - 112.64 GB/s
+ - 139.65 GB/s
+ - 163.40 GB/s
+ - 198.00 GB/s
+ - 224.56 GB/s
+ - 254.59 GB/s
+ - 278.69 GB/s
+ - 311.17 GB/s
+ - 339.49 GB/s
+ - 357.92 GB/s
+ - 395.98 GB/s
+ - 422.01 GB/s
+ - 452.70 GB/s
+ - 477.29 GB/s
+ - 499.92 GB/s
+ - 520.73 GB/s
+ - 565.32 GB/s
+ triad:
+ - 35.98 GB/s
+ - 72.35 GB/s
+ - 109.03 GB/s
+ - 143.05 GB/s
+ - 180.20 GB/s
+ - 214.31 GB/s
+ - 249.58 GB/s
+ - 277.82 GB/s
+ - 316.19 GB/s
+ - 352.84 GB/s
+ - 386.83 GB/s
+ - 426.10 GB/s
+ - 448.77 GB/s
+ - 477.10 GB/s
+ - 509.17 GB/s
+ - 535.05 GB/s
+ - 558.27 GB/s
+ - 586.02 GB/s
+ - 615.35 GB/s
+ - 659.35 GB/s
+ threads per core: 2
+ size per thread:
+ - 330.00 kB
+ - 330.00 kB
+ - 330.00 kB
+ - 330.00 kB
+ - 330.00 kB
+ - 330.00 kB
+ - 330.00 kB
+ - 330.00 kB
+ - 330.00 kB
+ - 330.00 kB
+ - 330.00 kB
+ - 330.00 kB
+ - 330.00 kB
+ - 330.00 kB
+ - 330.00 kB
+ - 330.00 kB
+ - 330.00 kB
+ - 330.00 kB
+ - 330.00 kB
+ - 330.00 kB
+ threads:
+ - 2
+ - 4
+ - 6
+ - 8
+ - 10
+ - 12
+ - 14
+ - 16
+ - 18
+ - 20
+ - 22
+ - 24
+ - 26
+ - 28
+ - 30
+ - 32
+ - 34
+ - 36
+ - 38
+ - 40
+ MEM:
+ 1:
+ total size:
+ - 420.00 MB
+ - 420.00 MB
+ - 420.00 MB
+ - 420.00 MB
+ - 420.00 MB
+ - 420.00 MB
+ - 420.00 MB
+ - 420.00 MB
+ - 420.00 MB
+ - 420.00 MB
+ - 420.00 MB
+ - 420.00 MB
+ - 420.00 MB
+ - 420.00 MB
+ - 420.00 MB
+ - 420.00 MB
+ - 420.00 MB
+ - 420.00 MB
+ - 420.00 MB
+ - 420.00 MB
+ cores:
+ - 1
+ - 2
+ - 3
+ - 4
+ - 5
+ - 6
+ - 7
+ - 8
+ - 9
+ - 10
+ - 11
+ - 12
+ - 13
+ - 14
+ - 15
+ - 16
+ - 17
+ - 18
+ - 19
+ - 20
+ size per core:
+ - 420.00 MB
+ - 210.00 MB
+ - 140.00 MB
+ - 105.00 MB
+ - 84.00 MB
+ - 70.00 MB
+ - 60.00 MB
+ - 52.50 MB
+ - 46.67 MB
+ - 42.00 MB
+ - 38.18 MB
+ - 35.00 MB
+ - 32.31 MB
+ - 30.00 MB
+ - 28.00 MB
+ - 26.25 MB
+ - 24.71 MB
+ - 23.33 MB
+ - 22.11 MB
+ - 21.00 MB
+ results:
+ load:
+ - 10.97 GB/s
+ - 21.42 GB/s
+ - 31.56 GB/s
+ - 41.50 GB/s
+ - 51.38 GB/s
+ - 60.61 GB/s
+ - 69.92 GB/s
+ - 78.55 GB/s
+ - 86.41 GB/s
+ - 93.86 GB/s
+ - 100.50 GB/s
+ - 105.68 GB/s
+ - 110.48 GB/s
+ - 113.73 GB/s
+ - 116.14 GB/s
+ - 118.73 GB/s
+ - 119.79 GB/s
+ - 120.42 GB/s
+ - 119.80 GB/s
+ - 119.05 GB/s
+ update:
+ - 18.97 GB/s
+ - 37.27 GB/s
+ - 55.43 GB/s
+ - 69.50 GB/s
+ - 76.49 GB/s
+ - 81.03 GB/s
+ - 84.59 GB/s
+ - 87.91 GB/s
+ - 91.10 GB/s
+ - 93.47 GB/s
+ - 95.47 GB/s
+ - 96.99 GB/s
+ - 98.05 GB/s
+ - 98.79 GB/s
+ - 98.21 GB/s
+ - 98.72 GB/s
+ - 98.60 GB/s
+ - 98.84 GB/s
+ - 98.75 GB/s
+ - 98.14 GB/s
+ daxpy:
+ - 16.31 GB/s
+ - 31.83 GB/s
+ - 47.09 GB/s
+ - 62.59 GB/s
+ - 74.91 GB/s
+ - 81.43 GB/s
+ - 86.44 GB/s
+ - 90.96 GB/s
+ - 94.10 GB/s
+ - 96.17 GB/s
+ - 99.49 GB/s
+ - 100.51 GB/s
+ - 102.69 GB/s
+ - 104.05 GB/s
+ - 105.03 GB/s
+ - 104.71 GB/s
+ - 105.75 GB/s
+ - 104.79 GB/s
+ - 105.68 GB/s
+ - 104.63 GB/s
+ copy:
+ - 12.16 GB/s
+ - 23.34 GB/s
+ - 34.61 GB/s
+ - 45.26 GB/s
+ - 51.86 GB/s
+ - 55.78 GB/s
+ - 58.64 GB/s
+ - 62.01 GB/s
+ - 63.91 GB/s
+ - 65.47 GB/s
+ - 67.02 GB/s
+ - 68.08 GB/s
+ - 69.45 GB/s
+ - 68.92 GB/s
+ - 69.65 GB/s
+ - 68.89 GB/s
+ - 69.68 GB/s
+ - 68.43 GB/s
+ - 69.10 GB/s
+ - 68.91 GB/s
+ triad:
+ - 13.28 GB/s
+ - 25.73 GB/s
+ - 37.38 GB/s
+ - 48.63 GB/s
+ - 58.36 GB/s
+ - 65.06 GB/s
+ - 70.48 GB/s
+ - 74.72 GB/s
+ - 77.95 GB/s
+ - 80.37 GB/s
+ - 82.27 GB/s
+ - 83.50 GB/s
+ - 84.92 GB/s
+ - 86.07 GB/s
+ - 86.29 GB/s
+ - 86.00 GB/s
+ - 86.27 GB/s
+ - 86.07 GB/s
+ - 85.30 GB/s
+ - 85.39 GB/s
+ threads per core: 1
+ size per thread:
+ - 420.00 MB
+ - 210.00 MB
+ - 140.00 MB
+ - 105.00 MB
+ - 84.00 MB
+ - 70.00 MB
+ - 60.00 MB
+ - 52.50 MB
+ - 46.67 MB
+ - 42.00 MB
+ - 38.18 MB
+ - 35.00 MB
+ - 32.31 MB
+ - 30.00 MB
+ - 28.00 MB
+ - 26.25 MB
+ - 24.71 MB
+ - 23.33 MB
+ - 22.11 MB
+ - 21.00 MB
+ threads:
+ - 1
+ - 2
+ - 3
+ - 4
+ - 5
+ - 6
+ - 7
+ - 8
+ - 9
+ - 10
+ - 11
+ - 12
+ - 13
+ - 14
+ - 15
+ - 16
+ - 17
+ - 18
+ - 19
+ - 20
+ 2:
+ total size:
+ - 420.00 MB
+ - 420.00 MB
+ - 420.00 MB
+ - 420.00 MB
+ - 420.00 MB
+ - 420.00 MB
+ - 420.00 MB
+ - 420.00 MB
+ - 420.00 MB
+ - 420.00 MB
+ - 420.00 MB
+ - 420.00 MB
+ - 420.00 MB
+ - 420.00 MB
+ - 420.00 MB
+ - 420.00 MB
+ - 420.00 MB
+ - 420.00 MB
+ - 420.00 MB
+ - 420.00 MB
+ cores:
+ - 1
+ - 2
+ - 3
+ - 4
+ - 5
+ - 6
+ - 7
+ - 8
+ - 9
+ - 10
+ - 11
+ - 12
+ - 13
+ - 14
+ - 15
+ - 16
+ - 17
+ - 18
+ - 19
+ - 20
+ size per core:
+ - 420.00 MB
+ - 210.00 MB
+ - 140.00 MB
+ - 105.00 MB
+ - 84.00 MB
+ - 70.00 MB
+ - 60.00 MB
+ - 52.50 MB
+ - 46.67 MB
+ - 42.00 MB
+ - 38.18 MB
+ - 35.00 MB
+ - 32.31 MB
+ - 30.00 MB
+ - 28.00 MB
+ - 26.25 MB
+ - 24.71 MB
+ - 23.33 MB
+ - 22.11 MB
+ - 21.00 MB
+ results:
+ load:
+ - 13.82 GB/s
+ - 26.68 GB/s
+ - 39.00 GB/s
+ - 50.75 GB/s
+ - 62.97 GB/s
+ - 73.34 GB/s
+ - 83.23 GB/s
+ - 91.91 GB/s
+ - 100.26 GB/s
+ - 107.62 GB/s
+ - 113.28 GB/s
+ - 116.34 GB/s
+ - 118.32 GB/s
+ - 118.46 GB/s
+ - 119.14 GB/s
+ - 118.92 GB/s
+ - 118.97 GB/s
+ - 118.22 GB/s
+ - 118.00 GB/s
+ - 117.37 GB/s
+ update:
+ - 23.57 GB/s
+ - 45.74 GB/s
+ - 66.44 GB/s
+ - 79.29 GB/s
+ - 87.19 GB/s
+ - 92.96 GB/s
+ - 97.65 GB/s
+ - 99.96 GB/s
+ - 100.79 GB/s
+ - 100.82 GB/s
+ - 100.73 GB/s
+ - 100.56 GB/s
+ - 100.69 GB/s
+ - 100.73 GB/s
+ - 100.88 GB/s
+ - 100.30 GB/s
+ - 100.03 GB/s
+ - 99.93 GB/s
+ - 98.88 GB/s
+ - 98.13 GB/s
+ daxpy:
+ - 20.09 GB/s
+ - 38.50 GB/s
+ - 56.04 GB/s
+ - 70.86 GB/s
+ - 82.32 GB/s
+ - 87.74 GB/s
+ - 93.53 GB/s
+ - 96.98 GB/s
+ - 101.38 GB/s
+ - 103.17 GB/s
+ - 105.67 GB/s
+ - 104.97 GB/s
+ - 106.65 GB/s
+ - 105.98 GB/s
+ - 107.18 GB/s
+ - 105.65 GB/s
+ - 106.95 GB/s
+ - 105.27 GB/s
+ - 106.08 GB/s
+ - 103.91 GB/s
+ copy:
+ - 13.58 GB/s
+ - 26.01 GB/s
+ - 37.93 GB/s
+ - 47.43 GB/s
+ - 54.53 GB/s
+ - 58.49 GB/s
+ - 61.85 GB/s
+ - 64.72 GB/s
+ - 67.33 GB/s
+ - 68.64 GB/s
+ - 70.16 GB/s
+ - 70.33 GB/s
+ - 71.34 GB/s
+ - 70.94 GB/s
+ - 71.48 GB/s
+ - 70.05 GB/s
+ - 71.06 GB/s
+ - 70.20 GB/s
+ - 70.94 GB/s
+ - 69.20 GB/s
+ triad:
+ - 14.24 GB/s
+ - 27.38 GB/s
+ - 39.30 GB/s
+ - 50.77 GB/s
+ - 60.22 GB/s
+ - 66.36 GB/s
+ - 71.64 GB/s
+ - 76.33 GB/s
+ - 79.39 GB/s
+ - 81.65 GB/s
+ - 83.28 GB/s
+ - 82.86 GB/s
+ - 84.90 GB/s
+ - 85.30 GB/s
+ - 84.69 GB/s
+ - 84.91 GB/s
+ - 84.93 GB/s
+ - 84.76 GB/s
+ - 83.65 GB/s
+ - 83.85 GB/s
+ threads per core: 2
+ size per thread:
+ - 210.00 MB
+ - 105.00 MB
+ - 70.00 MB
+ - 52.50 MB
+ - 42.00 MB
+ - 35.00 MB
+ - 30.00 MB
+ - 26.25 MB
+ - 23.33 MB
+ - 21.00 MB
+ - 19.09 MB
+ - 17.50 MB
+ - 16.15 MB
+ - 15.00 MB
+ - 14.00 MB
+ - 13.12 MB
+ - 12.35 MB
+ - 11.67 MB
+ - 11.05 MB
+ - 10.50 MB
+ threads:
+ - 2
+ - 4
+ - 6
+ - 8
+ - 10
+ - 12
+ - 14
+ - 16
+ - 18
+ - 20
+ - 22
+ - 24
+ - 26
+ - 28
+ - 30
+ - 32
+ - 34
+ - 36
+ - 38
+ - 40
+ L3:
+ 1:
+ total size:
+ - 18.48 MB
+ - 18.48 MB
+ - 18.48 MB
+ - 18.48 MB
+ - 18.48 MB
+ - 18.48 MB
+ - 18.48 MB
+ - 18.48 MB
+ - 18.48 MB
+ - 18.48 MB
+ - 18.48 MB
+ - 18.48 MB
+ - 18.48 MB
+ - 18.48 MB
+ - 18.48 MB
+ - 18.48 MB
+ - 18.48 MB
+ - 18.48 MB
+ - 18.48 MB
+ - 18.48 MB
+ cores:
+ - 1
+ - 2
+ - 3
+ - 4
+ - 5
+ - 6
+ - 7
+ - 8
+ - 9
+ - 10
+ - 11
+ - 12
+ - 13
+ - 14
+ - 15
+ - 16
+ - 17
+ - 18
+ - 19
+ - 20
+ size per core:
+ - 18.48 MB
+ - 9.24 MB
+ - 6.16 MB
+ - 4.62 MB
+ - 3.70 MB
+ - 3.08 MB
+ - 2.64 MB
+ - 2.31 MB
+ - 2.05 MB
+ - 1.85 MB
+ - 1.68 MB
+ - 1.54 MB
+ - 1.42 MB
+ - 1.32 MB
+ - 1.23 MB
+ - 1.16 MB
+ - 1.09 MB
+ - 1.03 MB
+ - 0.97 MB
+ - 0.92 MB
+ results:
+ load:
+ - 17.55 GB/s
+ - 34.13 GB/s
+ - 52.92 GB/s
+ - 70.18 GB/s
+ - 87.04 GB/s
+ - 104.60 GB/s
+ - 122.80 GB/s
+ - 138.58 GB/s
+ - 155.44 GB/s
+ - 172.87 GB/s
+ - 189.15 GB/s
+ - 207.62 GB/s
+ - 226.35 GB/s
+ - 244.34 GB/s
+ - 264.82 GB/s
+ - 284.68 GB/s
+ - 306.03 GB/s
+ - 322.71 GB/s
+ - 337.46 GB/s
+ - 361.09 GB/s
+ update:
+ - 28.14 GB/s
+ - 60.92 GB/s
+ - 90.89 GB/s
+ - 116.50 GB/s
+ - 152.42 GB/s
+ - 183.06 GB/s
+ - 212.99 GB/s
+ - 212.75 GB/s
+ - 274.36 GB/s
+ - 304.66 GB/s
+ - 334.26 GB/s
+ - 364.32 GB/s
+ - 393.15 GB/s
+ - 422.49 GB/s
+ - 420.21 GB/s
+ - 440.34 GB/s
+ - 535.06 GB/s
+ - 577.00 GB/s
+ - 611.37 GB/s
+ - 652.39 GB/s
+ daxpy:
+ - 22.86 GB/s
+ - 46.92 GB/s
+ - 70.28 GB/s
+ - 94.60 GB/s
+ - 118.15 GB/s
+ - 138.80 GB/s
+ - 164.88 GB/s
+ - 189.21 GB/s
+ - 213.06 GB/s
+ - 235.50 GB/s
+ - 258.88 GB/s
+ - 276.73 GB/s
+ - 293.57 GB/s
+ - 313.45 GB/s
+ - 342.39 GB/s
+ - 356.12 GB/s
+ - 376.38 GB/s
+ - 397.80 GB/s
+ - 419.70 GB/s
+ - 440.34 GB/s
+ copy:
+ - 21.34 GB/s
+ - 40.32 GB/s
+ - 61.65 GB/s
+ - 84.07 GB/s
+ - 103.72 GB/s
+ - 125.41 GB/s
+ - 145.60 GB/s
+ - 165.13 GB/s
+ - 181.03 GB/s
+ - 204.99 GB/s
+ - 225.73 GB/s
+ - 246.43 GB/s
+ - 270.62 GB/s
+ - 299.51 GB/s
+ - 345.25 GB/s
+ - 365.82 GB/s
+ - 419.66 GB/s
+ - 457.06 GB/s
+ - 514.23 GB/s
+ - 558.73 GB/s
+ triad:
+ - 22.56 GB/s
+ - 44.19 GB/s
+ - 65.75 GB/s
+ - 87.64 GB/s
+ - 109.98 GB/s
+ - 130.70 GB/s
+ - 152.13 GB/s
+ - 172.51 GB/s
+ - 192.56 GB/s
+ - 212.73 GB/s
+ - 228.30 GB/s
+ - 253.32 GB/s
+ - 277.36 GB/s
+ - 312.87 GB/s
+ - 361.25 GB/s
+ - 398.00 GB/s
+ - 428.08 GB/s
+ - 425.85 GB/s
+ - 496.00 GB/s
+ - 522.11 GB/s
+ threads per core: 1
+ size per thread:
+ - 18.48 MB
+ - 9.24 MB
+ - 6.16 MB
+ - 4.62 MB
+ - 3.70 MB
+ - 3.08 MB
+ - 2.64 MB
+ - 2.31 MB
+ - 2.05 MB
+ - 1.85 MB
+ - 1.68 MB
+ - 1.54 MB
+ - 1.42 MB
+ - 1.32 MB
+ - 1.23 MB
+ - 1.16 MB
+ - 1.09 MB
+ - 1.03 MB
+ - 0.97 MB
+ - 0.92 MB
+ threads:
+ - 1
+ - 2
+ - 3
+ - 4
+ - 5
+ - 6
+ - 7
+ - 8
+ - 9
+ - 10
+ - 11
+ - 12
+ - 13
+ - 14
+ - 15
+ - 16
+ - 17
+ - 18
+ - 19
+ - 20
+ 2:
+ total size:
+ - 18.48 MB
+ - 18.48 MB
+ - 18.48 MB
+ - 18.48 MB
+ - 18.48 MB
+ - 18.48 MB
+ - 18.48 MB
+ - 18.48 MB
+ - 18.48 MB
+ - 18.48 MB
+ - 18.48 MB
+ - 18.48 MB
+ - 18.48 MB
+ - 18.48 MB
+ - 18.48 MB
+ - 18.48 MB
+ - 18.48 MB
+ - 18.48 MB
+ - 18.48 MB
+ - 18.48 MB
+ cores:
+ - 1
+ - 2
+ - 3
+ - 4
+ - 5
+ - 6
+ - 7
+ - 8
+ - 9
+ - 10
+ - 11
+ - 12
+ - 13
+ - 14
+ - 15
+ - 16
+ - 17
+ - 18
+ - 19
+ - 20
+ size per core:
+ - 18.48 MB
+ - 9.24 MB
+ - 6.16 MB
+ - 4.62 MB
+ - 3.70 MB
+ - 3.08 MB
+ - 2.64 MB
+ - 2.31 MB
+ - 2.05 MB
+ - 1.85 MB
+ - 1.68 MB
+ - 1.54 MB
+ - 1.42 MB
+ - 1.32 MB
+ - 1.23 MB
+ - 1.16 MB
+ - 1.09 MB
+ - 1.03 MB
+ - 0.97 MB
+ - 0.92 MB
+ results:
+ load:
+ - 21.10 GB/s
+ - 42.31 GB/s
+ - 63.05 GB/s
+ - 82.88 GB/s
+ - 104.84 GB/s
+ - 124.76 GB/s
+ - 143.38 GB/s
+ - 164.16 GB/s
+ - 182.87 GB/s
+ - 203.42 GB/s
+ - 224.39 GB/s
+ - 245.60 GB/s
+ - 267.95 GB/s
+ - 292.76 GB/s
+ - 321.73 GB/s
+ - 352.02 GB/s
+ - 382.50 GB/s
+ - 412.09 GB/s
+ - 435.45 GB/s
+ - 460.85 GB/s
+ update:
+ - 30.06 GB/s
+ - 60.00 GB/s
+ - 90.99 GB/s
+ - 115.66 GB/s
+ - 150.15 GB/s
+ - 178.91 GB/s
+ - 212.93 GB/s
+ - 244.39 GB/s
+ - 273.96 GB/s
+ - 305.66 GB/s
+ - 336.98 GB/s
+ - 367.99 GB/s
+ - 398.81 GB/s
+ - 430.83 GB/s
+ - 463.84 GB/s
+ - 498.00 GB/s
+ - 541.41 GB/s
+ - 583.51 GB/s
+ - 608.40 GB/s
+ - 663.09 GB/s
+ daxpy:
+ - 27.81 GB/s
+ - 56.22 GB/s
+ - 83.86 GB/s
+ - 111.98 GB/s
+ - 140.03 GB/s
+ - 168.01 GB/s
+ - 195.57 GB/s
+ - 222.67 GB/s
+ - 249.82 GB/s
+ - 279.87 GB/s
+ - 307.67 GB/s
+ - 329.10 GB/s
+ - 350.33 GB/s
+ - 377.65 GB/s
+ - 405.93 GB/s
+ - 427.17 GB/s
+ - 444.68 GB/s
+ - 470.33 GB/s
+ - 496.83 GB/s
+ - 523.11 GB/s
+ copy:
+ - 23.23 GB/s
+ - 45.88 GB/s
+ - 69.02 GB/s
+ - 91.04 GB/s
+ - 113.93 GB/s
+ - 134.98 GB/s
+ - 156.53 GB/s
+ - 176.71 GB/s
+ - 195.99 GB/s
+ - 219.31 GB/s
+ - 240.50 GB/s
+ - 262.60 GB/s
+ - 287.17 GB/s
+ - 317.37 GB/s
+ - 363.20 GB/s
+ - 393.92 GB/s
+ - 442.58 GB/s
+ - 480.45 GB/s
+ - 510.28 GB/s
+ - 541.63 GB/s
+ triad:
+ - 24.21 GB/s
+ - 47.95 GB/s
+ - 70.93 GB/s
+ - 93.32 GB/s
+ - 115.04 GB/s
+ - 137.10 GB/s
+ - 158.57 GB/s
+ - 178.52 GB/s
+ - 198.44 GB/s
+ - 221.97 GB/s
+ - 247.31 GB/s
+ - 270.21 GB/s
+ - 301.05 GB/s
+ - 333.72 GB/s
+ - 380.29 GB/s
+ - 454.70 GB/s
+ - 499.86 GB/s
+ - 553.13 GB/s
+ - 591.42 GB/s
+ - 619.60 GB/s
+ threads per core: 2
+ size per thread:
+ - 9.24 MB
+ - 4.62 MB
+ - 3.08 MB
+ - 2.31 MB
+ - 1.85 MB
+ - 1.54 MB
+ - 1.32 MB
+ - 1.16 MB
+ - 1.03 MB
+ - 0.92 MB
+ - 840.00 kB
+ - 770.00 kB
+ - 710.77 kB
+ - 660.00 kB
+ - 616.00 kB
+ - 577.50 kB
+ - 543.53 kB
+ - 513.33 kB
+ - 486.32 kB
+ - 462.00 kB
+ threads:
+ - 2
+ - 4
+ - 6
+ - 8
+ - 10
+ - 12
+ - 14
+ - 16
+ - 18
+ - 20
+ - 22
+ - 24
+ - 26
+ - 28
+ - 30
+ - 32
+ - 34
+ - 36
+ - 38
+ - 40
diff --git a/benchmarks/plot_results.ipynb b/benchmarks/plot_results.ipynb
new file mode 100644
index 0000000000000000000000000000000000000000..f58a6726f1607e54187d097331f73eb8c6443c47
--- /dev/null
+++ b/benchmarks/plot_results.ipynb
@@ -0,0 +1,28222 @@
+{
+ "cells": [
+ {
+ "cell_type": "code",
+ "execution_count": 1,
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "import pandas as pd\n",
+ "import numpy as np\n",
+ "import scipy as sp\n",
+ "\n",
+ "import plotly as py\n",
+ "import plotly.figure_factory as ff\n",
+ "import plotly.graph_objects as go\n",
+ "import plotly.express as px\n",
+ "import plotly.tools as tls"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 2,
+ "metadata": {},
+ "outputs": [
+ {
+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
+ "Pretty printing has been turned OFF\n"
+ ]
+ }
+ ],
+ "source": [
+ "# Taking care of jupyter environment \n",
+ "# show graphs in-line, and turn on/off pretty_printing of lists\n",
+ "%matplotlib inline \n",
+ "%pprint "
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 83,
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "########################################################################\n",
+ "# Single core\n",
+ "\n",
+ "# import lbmpy tables\n",
+ "df_skl = pd.read_csv('', header=1)\n",
+ "df_hsw = pd.read_csv('', header=1)\n",
+ "df_ivb = pd.read_csv('', header=1)\n",
+ "\n",
+ "# import lbmBench tables\n",
+ "df_lbm_skl = pd.read_csv('')\n",
+ "df_lbm_hsw = pd.read_csv('')\n",
+ "df_lbm_ivb = pd.read_csv('')\n",
+ "\n",
+ "######################################################################## \n",
+ "# Node scale\n",
+ "\n",
+ "# import node scaling tables\n",
+ "df_node_scale = pd.read_csv('')\n",
+ "df_node_scale_lbm = pd.read_csv('')\n",
+ "df_node_scale_all = pd.read_csv('')\n",
+ "\n",
+ "########################################################################\n",
+ "# copy benchmark\n",
+ "bandwidth = pd.read_csv('')"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 4,
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "def get_hoverinfo_by_val(df, name, val):\n",
+ " isVal = df[name] == val\n",
+ " res = df[isVal].values\n",
+ " labels = list(df.columns)\n",
+ " res = list(zip(labels, res.tolist()[0]))\n",
+ " res = [str(x[0]) + '=' + str(x[1]) for x in res[:7]]\n",
+ " return ',\\n'.join(res)"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 5,
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "# plot table\n",
+ "def plot_table(df):\n",
+ " table = ff.create_table(df)\n",
+ " table.show()"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 92,
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "# plot as bar graph\n",
+ "def plot_bar_graph(df, avx512=False, cyCL=False, title=''):\n",
+ " if cyCL:\n",
+ " idx = -1\n",
+ " unit = '[cy/CL]'\n",
+ " else:\n",
+ " idx = -2\n",
+ " unit = '[MFLUP/s]'\n",
+ " cols = list(df.columns)\n",
+ " raw_data = [x.tolist() for x in list(df.values)]\n",
+ " c_cyCL = [x[idx] for x in raw_data]\n",
+ " ecm_cyCL = [x[idx - 2] for x in raw_data]\n",
+ " c_cyCL_avx512, ecm_cyCL_avx512 = [], []\n",
+ " hoverinfo = [get_hoverinfo_by_val(df, cols[-1], x[-1]) for x in raw_data]\n",
+ " if avx512:\n",
+ " c_cyCL_avx512 = [x[idx] if x[4] == 'avx512' else 0 for x in raw_data]\n",
+ " c_cyCL = [x[idx] if x[4] == 'avx' else 0 for x in raw_data]\n",
+ " ecm_cyCL_avx512 = [x[idx - 2] if x[4] == 'avx512' else 0 for x in raw_data]\n",
+ " ecm_cyCL = [x[idx - 2] if x[4] == 'avx' else 0 for x in raw_data]\n",
+ "\n",
+ " bar_measurements = go.Bar(name='Meas ' + unit, y=c_cyCL, hoverinfo=\"y+text\", text=hoverinfo, marker_color='indianred')\n",
+ " bar_kerncraft = go.Bar(name='ECM pred ' + unit, y=ecm_cyCL, hoverinfo=\"y+text\", text=hoverinfo, marker_color='steelblue')\n",
+ " bar_measurements_avx512 = go.Bar(name='Meas AVX512 ' + unit, y=c_cyCL_avx512, hoverinfo=\"y+text\", text=hoverinfo, marker_color='lightsalmon')\n",
+ " bar_kerncraft_avx512 = go.Bar(name='ECM pred AVX512 ' + unit, y=ecm_cyCL_avx512, hoverinfo=\"y+text\", text=hoverinfo, marker_color='skyblue')\n",
+ "\n",
+ " fig = go.Figure(data=[bar_measurements, bar_kerncraft, bar_measurements_avx512, bar_kerncraft_avx512])\n",
+ " fig.update_layout(\n",
+ " barmode='group',\n",
+ " title=title,\n",
+ " xaxis=go.layout.XAxis(title=go.layout.xaxis.Title(text=\"kernels\")),\n",
+ " yaxis=go.layout.YAxis(title=go.layout.yaxis.Title(text=\"performance\"))\n",
+ " )\n",
+ " \n",
+ " fig.show()\n",
+ " return fig"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 7,
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "def pprint_line(entry):\n",
+ " res = ''\n",
+ " res += ' dim_x: {}, compressible: {}, CSE_pdfs/global: {}/{}\\n'.format(entry[8], entry[0], entry[1], entry[2])\n",
+ " res += ' split: {}, vectorization: {{{}, aligned: {}, NT: {}}}\\n'.format(entry[3], entry[4], entry[5], entry[6])\n",
+ " res += ' {} MFLUP/s, {} cy/CL (kerncraft: {} MFLUP/s, {} cy/CL)'.format(entry[11], entry[12], entry[9], entry[10])\n",
+ " return res\n",
+ " "
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 8,
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "def compare_df(df, verbose=False):\n",
+ " mflups = [(x[-2],i) for i,x in enumerate(df.values)]\n",
+ " vals = [(x,i) for i,x in enumerate(df.values)]\n",
+ " print('Maximum:\\n{}\\n'.format(pprint_line(df.values[max(mflups)[1]])))\n",
+ " \n",
+ " split_list = []\n",
+ " for v in df.values:\n",
+ " if not v[3]:\n",
+ " continue\n",
+ " pair_match = find_split_pair(v, df)\n",
+ " speedup_split = v[-2] / pair_match[-2]\n",
+ " speedup_split = round(speedup_split, 2)\n",
+ " split_list.append((speedup_split, v))\n",
+ " split_list.sort(key=lambda x: x[0], reverse=True)\n",
+ " print('Speedup split: (mean: {} ± {})'.format(round(np.mean([x[0] for x in split_list]), 4), round(np.std([x[0] for x in split_list]), 4)))\n",
+ " if verbose:\n",
+ " for v in split_list:\n",
+ " print('Speedup: {}\\n{}'.format(v[0], pprint_line(v[1])))\n",
+ " print('\\n******************\\n')\n",
+ " \n",
+ " nt_list = []\n",
+ " for v in df.values:\n",
+ " if not v[6]:\n",
+ " continue\n",
+ " pair_match = find_NT_pair(v, df)\n",
+ " speedup_nt = v[-2] / pair_match[-2]\n",
+ " speedup_split = round(speedup_split, 2)\n",
+ " nt_list.append((speedup_nt, v))\n",
+ " nt_list.sort(key=lambda x: x[0], reverse=True)\n",
+ " print('Speedup non-temporal STs: (mean: {} ± {})'.format(round(np.mean([x[0] for x in nt_list]), 4), round(np.std([x[0] for x in nt_list]), 4)))\n",
+ " if verbose:\n",
+ " for v in nt_list:\n",
+ " print('Speedup: {}\\n{}'.format(v[0], pprint_line(v[1])))"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 9,
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "# value either 'split' or 'nt'\n",
+ "def match_pair(data1, data2, value):\n",
+ " if value == 'split':\n",
+ " idx = 3\n",
+ " elif value == 'nt':\n",
+ " idx = 6\n",
+ " for i, val in enumerate(data1[:idx]):\n",
+ " if val != data2[i]:\n",
+ " return False\n",
+ " for i, val in enumerate(data1[idx+1:9]):\n",
+ " if val != data2[i+idx+1]:\n",
+ " return False\n",
+ " return True"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 10,
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "def find_split_pair(data, df):\n",
+ " split = data[3]\n",
+ " pairs = [x for x in df.values if match_pair(x, data, 'split')]\n",
+ " return [x for x in pairs if x[3] != split][0]"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 11,
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "def find_NT_pair(data, df):\n",
+ " nt = data[6]\n",
+ " pairs = [x for x in df.values if match_pair(x, data, 'nt')]\n",
+ " return [x for x in pairs if x[6] != nt][0]"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {},
+ "source": [
+ "## Results from lbmpy benchmark"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 122,
+ "metadata": {
+ "scrolled": false
+ },
+ "outputs": [
+ {
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+ "compressible=False,\ncse_pdfs=True,\ncse_global=True,\nsplit=True,\nvec_opt=avx512,\naligned=True,\nnontemp=True",
+ "compressible=True,\ncse_pdfs=True,\ncse_global=True,\nsplit=False,\nvec_opt=avx512,\naligned=True,\nnontemp=True",
+ "compressible=True,\ncse_pdfs=True,\ncse_global=True,\nsplit=True,\nvec_opt=avx512,\naligned=True,\nnontemp=True",
+ "compressible=False,\ncse_pdfs=True,\ncse_global=True,\nsplit=False,\nvec_opt=avx512,\naligned=True,\nnontemp=False",
+ "compressible=False,\ncse_pdfs=True,\ncse_global=True,\nsplit=True,\nvec_opt=avx512,\naligned=True,\nnontemp=False",
+ "compressible=True,\ncse_pdfs=True,\ncse_global=True,\nsplit=False,\nvec_opt=avx512,\naligned=True,\nnontemp=False",
+ "compressible=True,\ncse_pdfs=True,\ncse_global=True,\nsplit=True,\nvec_opt=avx512,\naligned=True,\nnontemp=False",
+ "compressible=False,\ncse_pdfs=True,\ncse_global=True,\nsplit=False,\nvec_opt=avx512,\naligned=False,\nnontemp=False",
+ "compressible=False,\ncse_pdfs=True,\ncse_global=True,\nsplit=True,\nvec_opt=avx512,\naligned=False,\nnontemp=False",
+ "compressible=True,\ncse_pdfs=True,\ncse_global=True,\nsplit=False,\nvec_opt=avx512,\naligned=False,\nnontemp=False",
+ "compressible=True,\ncse_pdfs=True,\ncse_global=True,\nsplit=True,\nvec_opt=avx512,\naligned=False,\nnontemp=False",
+ "compressible=False,\ncse_pdfs=False,\ncse_global=True,\nsplit=False,\nvec_opt=avx512,\naligned=True,\nnontemp=True",
+ "compressible=False,\ncse_pdfs=False,\ncse_global=True,\nsplit=True,\nvec_opt=avx512,\naligned=True,\nnontemp=True",
+ "compressible=True,\ncse_pdfs=False,\ncse_global=True,\nsplit=False,\nvec_opt=avx512,\naligned=True,\nnontemp=True",
+ "compressible=True,\ncse_pdfs=False,\ncse_global=True,\nsplit=True,\nvec_opt=avx512,\naligned=True,\nnontemp=True",
+ "compressible=False,\ncse_pdfs=False,\ncse_global=True,\nsplit=False,\nvec_opt=avx512,\naligned=True,\nnontemp=False",
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+ "compressible=False,\ncse_pdfs=True,\ncse_global=False,\nsplit=False,\nvec_opt=avx512,\naligned=True,\nnontemp=True",
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+ "Maximum:\n",
+ " dim_x: 300, compressible: False, CSE_pdfs/global: True/True\n",
+ " split: False, vectorization: {avx512, aligned: True, NT: True}\n",
+ " 44.18 MFLUP/s, 434.55 cy/CL (kerncraft: 55.27 MFLUP/s, 347.35 cy/CL)\n",
+ "\n",
+ "Speedup split: (mean: 2.2362 ± 1.2885)\n",
+ "Speedup non-temporal STs: (mean: 2.3329 ± 0.8314)\n"
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+ " <td>True</td>\n",
+ " <td>False</td>\n",
+ " <td>avx512</td>\n",
+ " <td>True</td>\n",
+ " <td>True</td>\n",
+ " <td>SKL</td>\n",
+ " <td>300</td>\n",
+ " <td>55.27</td>\n",
+ " <td>347.35</td>\n",
+ " <td>44.18</td>\n",
+ " <td>434.55</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>1</th>\n",
+ " <td>False</td>\n",
+ " <td>True</td>\n",
+ " <td>True</td>\n",
+ " <td>True</td>\n",
+ " <td>avx512</td>\n",
+ " <td>True</td>\n",
+ " <td>True</td>\n",
+ " <td>SKL</td>\n",
+ " <td>300</td>\n",
+ " <td>30.04</td>\n",
+ " <td>639.09</td>\n",
+ " <td>42.47</td>\n",
+ " <td>452.07</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>2</th>\n",
+ " <td>True</td>\n",
+ " <td>True</td>\n",
+ " <td>True</td>\n",
+ " <td>False</td>\n",
+ " <td>avx512</td>\n",
+ " <td>True</td>\n",
+ " <td>True</td>\n",
+ " <td>SKL</td>\n",
+ " <td>300</td>\n",
+ " <td>53.91</td>\n",
+ " <td>356.15</td>\n",
+ " <td>40.44</td>\n",
+ " <td>474.73</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>3</th>\n",
+ " <td>True</td>\n",
+ " <td>True</td>\n",
+ " <td>True</td>\n",
+ " <td>True</td>\n",
+ " <td>avx512</td>\n",
+ " <td>True</td>\n",
+ " <td>True</td>\n",
+ " <td>SKL</td>\n",
+ " <td>300</td>\n",
+ " <td>29.40</td>\n",
+ " <td>653.09</td>\n",
+ " <td>43.67</td>\n",
+ " <td>439.70</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>4</th>\n",
+ " <td>False</td>\n",
+ " <td>True</td>\n",
+ " <td>True</td>\n",
+ " <td>False</td>\n",
+ " <td>avx512</td>\n",
+ " <td>True</td>\n",
+ " <td>False</td>\n",
+ " <td>SKL</td>\n",
+ " <td>300</td>\n",
+ " <td>59.75</td>\n",
+ " <td>321.35</td>\n",
+ " <td>17.65</td>\n",
+ " <td>1087.79</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>5</th>\n",
+ " <td>False</td>\n",
+ " <td>True</td>\n",
+ " <td>True</td>\n",
+ " <td>True</td>\n",
+ " <td>avx512</td>\n",
+ " <td>True</td>\n",
+ " <td>False</td>\n",
+ " <td>SKL</td>\n",
+ " <td>300</td>\n",
+ " <td>28.96</td>\n",
+ " <td>663.09</td>\n",
+ " <td>23.30</td>\n",
+ " <td>823.94</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>6</th>\n",
+ " <td>True</td>\n",
+ " <td>True</td>\n",
+ " <td>True</td>\n",
+ " <td>False</td>\n",
+ " <td>avx512</td>\n",
+ " <td>True</td>\n",
+ " <td>False</td>\n",
+ " <td>SKL</td>\n",
+ " <td>300</td>\n",
+ " <td>58.14</td>\n",
+ " <td>330.25</td>\n",
+ " <td>17.28</td>\n",
+ " <td>1110.87</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>7</th>\n",
+ " <td>True</td>\n",
+ " <td>True</td>\n",
+ " <td>True</td>\n",
+ " <td>True</td>\n",
+ " <td>avx512</td>\n",
+ " <td>True</td>\n",
+ " <td>False</td>\n",
+ " <td>SKL</td>\n",
+ " <td>300</td>\n",
+ " <td>30.09</td>\n",
+ " <td>638.09</td>\n",
+ " <td>23.67</td>\n",
+ " <td>811.28</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>8</th>\n",
+ " <td>False</td>\n",
+ " <td>True</td>\n",
+ " <td>True</td>\n",
+ " <td>False</td>\n",
+ " <td>avx512</td>\n",
+ " <td>False</td>\n",
+ " <td>False</td>\n",
+ " <td>SKL</td>\n",
+ " <td>300</td>\n",
+ " <td>10.92</td>\n",
+ " <td>1758.52</td>\n",
+ " <td>5.47</td>\n",
+ " <td>3509.38</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>9</th>\n",
+ " <td>False</td>\n",
+ " <td>True</td>\n",
+ " <td>True</td>\n",
+ " <td>True</td>\n",
+ " <td>avx512</td>\n",
+ " <td>False</td>\n",
+ " <td>False</td>\n",
+ " <td>SKL</td>\n",
+ " <td>300</td>\n",
+ " <td>4.84</td>\n",
+ " <td>3963.71</td>\n",
+ " <td>19.20</td>\n",
+ " <td>1000.25</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>10</th>\n",
+ " <td>True</td>\n",
+ " <td>True</td>\n",
+ " <td>True</td>\n",
+ " <td>False</td>\n",
+ " <td>avx512</td>\n",
+ " <td>False</td>\n",
+ " <td>False</td>\n",
+ " <td>SKL</td>\n",
+ " <td>300</td>\n",
+ " <td>10.44</td>\n",
+ " <td>1838.62</td>\n",
+ " <td>6.99</td>\n",
+ " <td>2746.61</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>11</th>\n",
+ " <td>True</td>\n",
+ " <td>True</td>\n",
+ " <td>True</td>\n",
+ " <td>True</td>\n",
+ " <td>avx512</td>\n",
+ " <td>False</td>\n",
+ " <td>False</td>\n",
+ " <td>SKL</td>\n",
+ " <td>300</td>\n",
+ " <td>5.01</td>\n",
+ " <td>3828.71</td>\n",
+ " <td>19.51</td>\n",
+ " <td>984.29</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>12</th>\n",
+ " <td>False</td>\n",
+ " <td>False</td>\n",
+ " <td>True</td>\n",
+ " <td>False</td>\n",
+ " <td>avx512</td>\n",
+ " <td>True</td>\n",
+ " <td>True</td>\n",
+ " <td>SKL</td>\n",
+ " <td>300</td>\n",
+ " <td>55.64</td>\n",
+ " <td>345.05</td>\n",
+ " <td>41.56</td>\n",
+ " <td>462.01</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>13</th>\n",
+ " <td>False</td>\n",
+ " <td>False</td>\n",
+ " <td>True</td>\n",
+ " <td>True</td>\n",
+ " <td>avx512</td>\n",
+ " <td>True</td>\n",
+ " <td>True</td>\n",
+ " <td>SKL</td>\n",
+ " <td>300</td>\n",
+ " <td>29.40</td>\n",
+ " <td>653.09</td>\n",
+ " <td>42.38</td>\n",
+ " <td>453.09</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>14</th>\n",
+ " <td>True</td>\n",
+ " <td>False</td>\n",
+ " <td>True</td>\n",
+ " <td>False</td>\n",
+ " <td>avx512</td>\n",
+ " <td>True</td>\n",
+ " <td>True</td>\n",
+ " <td>SKL</td>\n",
+ " <td>300</td>\n",
+ " <td>55.31</td>\n",
+ " <td>347.15</td>\n",
+ " <td>38.70</td>\n",
+ " <td>496.08</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>15</th>\n",
+ " <td>True</td>\n",
+ " <td>False</td>\n",
+ " <td>True</td>\n",
+ " <td>True</td>\n",
+ " <td>avx512</td>\n",
+ " <td>True</td>\n",
+ " <td>True</td>\n",
+ " <td>SKL</td>\n",
+ " <td>300</td>\n",
+ " <td>30.09</td>\n",
+ " <td>638.09</td>\n",
+ " <td>43.98</td>\n",
+ " <td>436.52</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>16</th>\n",
+ " <td>False</td>\n",
+ " <td>False</td>\n",
+ " <td>True</td>\n",
+ " <td>False</td>\n",
+ " <td>avx512</td>\n",
+ " <td>True</td>\n",
+ " <td>False</td>\n",
+ " <td>SKL</td>\n",
+ " <td>300</td>\n",
+ " <td>57.98</td>\n",
+ " <td>331.15</td>\n",
+ " <td>11.54</td>\n",
+ " <td>1663.48</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>17</th>\n",
+ " <td>False</td>\n",
+ " <td>False</td>\n",
+ " <td>True</td>\n",
+ " <td>True</td>\n",
+ " <td>avx512</td>\n",
+ " <td>True</td>\n",
+ " <td>False</td>\n",
+ " <td>SKL</td>\n",
+ " <td>300</td>\n",
+ " <td>30.52</td>\n",
+ " <td>629.09</td>\n",
+ " <td>24.04</td>\n",
+ " <td>798.55</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>18</th>\n",
+ " <td>True</td>\n",
+ " <td>False</td>\n",
+ " <td>True</td>\n",
+ " <td>False</td>\n",
+ " <td>avx512</td>\n",
+ " <td>True</td>\n",
+ " <td>False</td>\n",
+ " <td>SKL</td>\n",
+ " <td>300</td>\n",
+ " <td>55.97</td>\n",
+ " <td>343.05</td>\n",
+ " <td>10.83</td>\n",
+ " <td>1772.21</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>19</th>\n",
+ " <td>True</td>\n",
+ " <td>False</td>\n",
+ " <td>True</td>\n",
+ " <td>True</td>\n",
+ " <td>avx512</td>\n",
+ " <td>True</td>\n",
+ " <td>False</td>\n",
+ " <td>SKL</td>\n",
+ " <td>300</td>\n",
+ " <td>29.86</td>\n",
+ " <td>643.09</td>\n",
+ " <td>34.23</td>\n",
+ " <td>560.95</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>20</th>\n",
+ " <td>False</td>\n",
+ " <td>False</td>\n",
+ " <td>True</td>\n",
+ " <td>False</td>\n",
+ " <td>avx512</td>\n",
+ " <td>False</td>\n",
+ " <td>False</td>\n",
+ " <td>SKL</td>\n",
+ " <td>300</td>\n",
+ " <td>10.39</td>\n",
+ " <td>1847.62</td>\n",
+ " <td>7.26</td>\n",
+ " <td>2646.19</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>21</th>\n",
+ " <td>False</td>\n",
+ " <td>False</td>\n",
+ " <td>True</td>\n",
+ " <td>True</td>\n",
+ " <td>avx512</td>\n",
+ " <td>False</td>\n",
+ " <td>False</td>\n",
+ " <td>SKL</td>\n",
+ " <td>300</td>\n",
+ " <td>5.12</td>\n",
+ " <td>3747.71</td>\n",
+ " <td>21.37</td>\n",
+ " <td>898.48</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>22</th>\n",
+ " <td>True</td>\n",
+ " <td>False</td>\n",
+ " <td>True</td>\n",
+ " <td>False</td>\n",
+ " <td>avx512</td>\n",
+ " <td>False</td>\n",
+ " <td>False</td>\n",
+ " <td>SKL</td>\n",
+ " <td>300</td>\n",
+ " <td>9.87</td>\n",
+ " <td>1944.82</td>\n",
+ " <td>8.06</td>\n",
+ " <td>2382.29</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>23</th>\n",
+ " <td>True</td>\n",
+ " <td>False</td>\n",
+ " <td>True</td>\n",
+ " <td>True</td>\n",
+ " <td>avx512</td>\n",
+ " <td>False</td>\n",
+ " <td>False</td>\n",
+ " <td>SKL</td>\n",
+ " <td>300</td>\n",
+ " <td>5.07</td>\n",
+ " <td>3783.71</td>\n",
+ " <td>22.01</td>\n",
+ " <td>872.26</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>24</th>\n",
+ " <td>False</td>\n",
+ " <td>True</td>\n",
+ " <td>False</td>\n",
+ " <td>False</td>\n",
+ " <td>avx512</td>\n",
+ " <td>True</td>\n",
+ " <td>True</td>\n",
+ " <td>SKL</td>\n",
+ " <td>300</td>\n",
+ " <td>55.42</td>\n",
+ " <td>346.45</td>\n",
+ " <td>42.71</td>\n",
+ " <td>449.57</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>25</th>\n",
+ " <td>False</td>\n",
+ " <td>True</td>\n",
+ " <td>False</td>\n",
+ " <td>True</td>\n",
+ " <td>avx512</td>\n",
+ " <td>True</td>\n",
+ " <td>True</td>\n",
+ " <td>SKL</td>\n",
+ " <td>300</td>\n",
+ " <td>29.40</td>\n",
+ " <td>653.09</td>\n",
+ " <td>42.23</td>\n",
+ " <td>454.69</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>26</th>\n",
+ " <td>True</td>\n",
+ " <td>True</td>\n",
+ " <td>False</td>\n",
+ " <td>False</td>\n",
+ " <td>avx512</td>\n",
+ " <td>True</td>\n",
+ " <td>True</td>\n",
+ " <td>SKL</td>\n",
+ " <td>300</td>\n",
+ " <td>54.54</td>\n",
+ " <td>352.05</td>\n",
+ " <td>39.32</td>\n",
+ " <td>488.30</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>27</th>\n",
+ " <td>True</td>\n",
+ " <td>True</td>\n",
+ " <td>False</td>\n",
+ " <td>True</td>\n",
+ " <td>avx512</td>\n",
+ " <td>True</td>\n",
+ " <td>True</td>\n",
+ " <td>SKL</td>\n",
+ " <td>300</td>\n",
+ " <td>30.04</td>\n",
+ " <td>639.09</td>\n",
+ " <td>43.62</td>\n",
+ " <td>440.16</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>28</th>\n",
+ " <td>False</td>\n",
+ " <td>True</td>\n",
+ " <td>False</td>\n",
+ " <td>False</td>\n",
+ " <td>avx512</td>\n",
+ " <td>True</td>\n",
+ " <td>False</td>\n",
+ " <td>SKL</td>\n",
+ " <td>300</td>\n",
+ " <td>57.63</td>\n",
+ " <td>333.15</td>\n",
+ " <td>17.20</td>\n",
+ " <td>1116.23</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>29</th>\n",
+ " <td>False</td>\n",
+ " <td>True</td>\n",
+ " <td>False</td>\n",
+ " <td>True</td>\n",
+ " <td>avx512</td>\n",
+ " <td>True</td>\n",
+ " <td>False</td>\n",
+ " <td>SKL</td>\n",
+ " <td>300</td>\n",
+ " <td>30.52</td>\n",
+ " <td>629.09</td>\n",
+ " <td>24.46</td>\n",
+ " <td>784.80</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>30</th>\n",
+ " <td>True</td>\n",
+ " <td>True</td>\n",
+ " <td>False</td>\n",
+ " <td>False</td>\n",
+ " <td>avx512</td>\n",
+ " <td>True</td>\n",
+ " <td>False</td>\n",
+ " <td>SKL</td>\n",
+ " <td>300</td>\n",
+ " <td>56.63</td>\n",
+ " <td>339.05</td>\n",
+ " <td>10.50</td>\n",
+ " <td>1829.43</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>31</th>\n",
+ " <td>True</td>\n",
+ " <td>True</td>\n",
+ " <td>False</td>\n",
+ " <td>True</td>\n",
+ " <td>avx512</td>\n",
+ " <td>True</td>\n",
+ " <td>False</td>\n",
+ " <td>SKL</td>\n",
+ " <td>300</td>\n",
+ " <td>29.86</td>\n",
+ " <td>643.09</td>\n",
+ " <td>33.66</td>\n",
+ " <td>570.34</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>32</th>\n",
+ " <td>False</td>\n",
+ " <td>True</td>\n",
+ " <td>False</td>\n",
+ " <td>False</td>\n",
+ " <td>avx512</td>\n",
+ " <td>False</td>\n",
+ " <td>False</td>\n",
+ " <td>SKL</td>\n",
+ " <td>300</td>\n",
+ " <td>10.29</td>\n",
+ " <td>1865.62</td>\n",
+ " <td>4.55</td>\n",
+ " <td>4219.34</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>33</th>\n",
+ " <td>False</td>\n",
+ " <td>True</td>\n",
+ " <td>False</td>\n",
+ " <td>True</td>\n",
+ " <td>avx512</td>\n",
+ " <td>False</td>\n",
+ " <td>False</td>\n",
+ " <td>SKL</td>\n",
+ " <td>300</td>\n",
+ " <td>5.12</td>\n",
+ " <td>3747.71</td>\n",
+ " <td>27.57</td>\n",
+ " <td>696.33</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>34</th>\n",
+ " <td>True</td>\n",
+ " <td>True</td>\n",
+ " <td>False</td>\n",
+ " <td>False</td>\n",
+ " <td>avx512</td>\n",
+ " <td>False</td>\n",
+ " <td>False</td>\n",
+ " <td>SKL</td>\n",
+ " <td>300</td>\n",
+ " <td>10.20</td>\n",
+ " <td>1881.82</td>\n",
+ " <td>6.79</td>\n",
+ " <td>2826.49</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>35</th>\n",
+ " <td>True</td>\n",
+ " <td>True</td>\n",
+ " <td>False</td>\n",
+ " <td>True</td>\n",
+ " <td>avx512</td>\n",
+ " <td>False</td>\n",
+ " <td>False</td>\n",
+ " <td>SKL</td>\n",
+ " <td>300</td>\n",
+ " <td>4.96</td>\n",
+ " <td>3873.71</td>\n",
+ " <td>27.10</td>\n",
+ " <td>708.36</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>36</th>\n",
+ " <td>False</td>\n",
+ " <td>False</td>\n",
+ " <td>False</td>\n",
+ " <td>False</td>\n",
+ " <td>avx512</td>\n",
+ " <td>True</td>\n",
+ " <td>True</td>\n",
+ " <td>SKL</td>\n",
+ " <td>300</td>\n",
+ " <td>56.12</td>\n",
+ " <td>342.15</td>\n",
+ " <td>41.39</td>\n",
+ " <td>463.90</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>37</th>\n",
+ " <td>False</td>\n",
+ " <td>False</td>\n",
+ " <td>False</td>\n",
+ " <td>True</td>\n",
+ " <td>avx512</td>\n",
+ " <td>True</td>\n",
+ " <td>True</td>\n",
+ " <td>SKL</td>\n",
+ " <td>300</td>\n",
+ " <td>28.96</td>\n",
+ " <td>663.09</td>\n",
+ " <td>42.62</td>\n",
+ " <td>450.51</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>38</th>\n",
+ " <td>True</td>\n",
+ " <td>False</td>\n",
+ " <td>False</td>\n",
+ " <td>False</td>\n",
+ " <td>avx512</td>\n",
+ " <td>True</td>\n",
+ " <td>True</td>\n",
+ " <td>SKL</td>\n",
+ " <td>300</td>\n",
+ " <td>56.13</td>\n",
+ " <td>342.05</td>\n",
+ " <td>39.16</td>\n",
+ " <td>490.31</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>39</th>\n",
+ " <td>True</td>\n",
+ " <td>False</td>\n",
+ " <td>False</td>\n",
+ " <td>True</td>\n",
+ " <td>avx512</td>\n",
+ " <td>True</td>\n",
+ " <td>True</td>\n",
+ " <td>SKL</td>\n",
+ " <td>300</td>\n",
+ " <td>30.09</td>\n",
+ " <td>638.09</td>\n",
+ " <td>42.82</td>\n",
+ " <td>448.36</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>40</th>\n",
+ " <td>False</td>\n",
+ " <td>False</td>\n",
+ " <td>False</td>\n",
+ " <td>False</td>\n",
+ " <td>avx512</td>\n",
+ " <td>True</td>\n",
+ " <td>False</td>\n",
+ " <td>SKL</td>\n",
+ " <td>300</td>\n",
+ " <td>58.89</td>\n",
+ " <td>326.05</td>\n",
+ " <td>11.34</td>\n",
+ " <td>1693.38</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>41</th>\n",
+ " <td>False</td>\n",
+ " <td>False</td>\n",
+ " <td>False</td>\n",
+ " <td>True</td>\n",
+ " <td>avx512</td>\n",
+ " <td>True</td>\n",
+ " <td>False</td>\n",
+ " <td>SKL</td>\n",
+ " <td>300</td>\n",
+ " <td>30.52</td>\n",
+ " <td>629.09</td>\n",
+ " <td>24.82</td>\n",
+ " <td>773.42</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>42</th>\n",
+ " <td>True</td>\n",
+ " <td>False</td>\n",
+ " <td>False</td>\n",
+ " <td>False</td>\n",
+ " <td>avx512</td>\n",
+ " <td>True</td>\n",
+ " <td>False</td>\n",
+ " <td>SKL</td>\n",
+ " <td>300</td>\n",
+ " <td>58.71</td>\n",
+ " <td>327.05</td>\n",
+ " <td>17.32</td>\n",
+ " <td>1108.57</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>43</th>\n",
+ " <td>True</td>\n",
+ " <td>False</td>\n",
+ " <td>False</td>\n",
+ " <td>True</td>\n",
+ " <td>avx512</td>\n",
+ " <td>True</td>\n",
+ " <td>False</td>\n",
+ " <td>SKL</td>\n",
+ " <td>300</td>\n",
+ " <td>29.40</td>\n",
+ " <td>653.09</td>\n",
+ " <td>24.97</td>\n",
+ " <td>768.97</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>44</th>\n",
+ " <td>False</td>\n",
+ " <td>False</td>\n",
+ " <td>False</td>\n",
+ " <td>False</td>\n",
+ " <td>avx512</td>\n",
+ " <td>False</td>\n",
+ " <td>False</td>\n",
+ " <td>SKL</td>\n",
+ " <td>300</td>\n",
+ " <td>10.66</td>\n",
+ " <td>1800.82</td>\n",
+ " <td>7.26</td>\n",
+ " <td>2645.17</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>45</th>\n",
+ " <td>False</td>\n",
+ " <td>False</td>\n",
+ " <td>False</td>\n",
+ " <td>True</td>\n",
+ " <td>avx512</td>\n",
+ " <td>False</td>\n",
+ " <td>False</td>\n",
+ " <td>SKL</td>\n",
+ " <td>300</td>\n",
+ " <td>5.12</td>\n",
+ " <td>3747.71</td>\n",
+ " <td>27.99</td>\n",
+ " <td>686.00</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>46</th>\n",
+ " <td>True</td>\n",
+ " <td>False</td>\n",
+ " <td>False</td>\n",
+ " <td>False</td>\n",
+ " <td>avx512</td>\n",
+ " <td>False</td>\n",
+ " <td>False</td>\n",
+ " <td>SKL</td>\n",
+ " <td>300</td>\n",
+ " <td>10.61</td>\n",
+ " <td>1809.82</td>\n",
+ " <td>6.54</td>\n",
+ " <td>2937.48</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>47</th>\n",
+ " <td>True</td>\n",
+ " <td>False</td>\n",
+ " <td>False</td>\n",
+ " <td>True</td>\n",
+ " <td>avx512</td>\n",
+ " <td>False</td>\n",
+ " <td>False</td>\n",
+ " <td>SKL</td>\n",
+ " <td>300</td>\n",
+ " <td>5.07</td>\n",
+ " <td>3783.71</td>\n",
+ " <td>20.78</td>\n",
+ " <td>924.04</td>\n",
+ " </tr>\n",
+ " </tbody>\n",
+ "</table>\n",
+ "</div>"
+ ],
+ "text/plain": [
+ " compressible cse_pdfs cse_global split vec_opt aligned nontemp arch \\\n",
+ "0 False True True False avx512 True True SKL \n",
+ "1 False True True True avx512 True True SKL \n",
+ "2 True True True False avx512 True True SKL \n",
+ "3 True True True True avx512 True True SKL \n",
+ "4 False True True False avx512 True False SKL \n",
+ "5 False True True True avx512 True False SKL \n",
+ "6 True True True False avx512 True False SKL \n",
+ "7 True True True True avx512 True False SKL \n",
+ "8 False True True False avx512 False False SKL \n",
+ "9 False True True True avx512 False False SKL \n",
+ "10 True True True False avx512 False False SKL \n",
+ "11 True True True True avx512 False False SKL \n",
+ "12 False False True False avx512 True True SKL \n",
+ "13 False False True True avx512 True True SKL \n",
+ "14 True False True False avx512 True True SKL \n",
+ "15 True False True True avx512 True True SKL \n",
+ "16 False False True False avx512 True False SKL \n",
+ "17 False False True True avx512 True False SKL \n",
+ "18 True False True False avx512 True False SKL \n",
+ "19 True False True True avx512 True False SKL \n",
+ "20 False False True False avx512 False False SKL \n",
+ "21 False False True True avx512 False False SKL \n",
+ "22 True False True False avx512 False False SKL \n",
+ "23 True False True True avx512 False False SKL \n",
+ "24 False True False False avx512 True True SKL \n",
+ "25 False True False True avx512 True True SKL \n",
+ "26 True True False False avx512 True True SKL \n",
+ "27 True True False True avx512 True True SKL \n",
+ "28 False True False False avx512 True False SKL \n",
+ "29 False True False True avx512 True False SKL \n",
+ "30 True True False False avx512 True False SKL \n",
+ "31 True True False True avx512 True False SKL \n",
+ "32 False True False False avx512 False False SKL \n",
+ "33 False True False True avx512 False False SKL \n",
+ "34 True True False False avx512 False False SKL \n",
+ "35 True True False True avx512 False False SKL \n",
+ "36 False False False False avx512 True True SKL \n",
+ "37 False False False True avx512 True True SKL \n",
+ "38 True False False False avx512 True True SKL \n",
+ "39 True False False True avx512 True True SKL \n",
+ "40 False False False False avx512 True False SKL \n",
+ "41 False False False True avx512 True False SKL \n",
+ "42 True False False False avx512 True False SKL \n",
+ "43 True False False True avx512 True False SKL \n",
+ "44 False False False False avx512 False False SKL \n",
+ "45 False False False True avx512 False False SKL \n",
+ "46 True False False False avx512 False False SKL \n",
+ "47 True False False True avx512 False False SKL \n",
+ "\n",
+ " dim_x ECM[MIt/s] ECM_cyCL[cy/CL] c_bench[MFLUPs] c_bench_cyCL[cy/CL] \n",
+ "0 300 55.27 347.35 44.18 434.55 \n",
+ "1 300 30.04 639.09 42.47 452.07 \n",
+ "2 300 53.91 356.15 40.44 474.73 \n",
+ "3 300 29.40 653.09 43.67 439.70 \n",
+ "4 300 59.75 321.35 17.65 1087.79 \n",
+ "5 300 28.96 663.09 23.30 823.94 \n",
+ "6 300 58.14 330.25 17.28 1110.87 \n",
+ "7 300 30.09 638.09 23.67 811.28 \n",
+ "8 300 10.92 1758.52 5.47 3509.38 \n",
+ "9 300 4.84 3963.71 19.20 1000.25 \n",
+ "10 300 10.44 1838.62 6.99 2746.61 \n",
+ "11 300 5.01 3828.71 19.51 984.29 \n",
+ "12 300 55.64 345.05 41.56 462.01 \n",
+ "13 300 29.40 653.09 42.38 453.09 \n",
+ "14 300 55.31 347.15 38.70 496.08 \n",
+ "15 300 30.09 638.09 43.98 436.52 \n",
+ "16 300 57.98 331.15 11.54 1663.48 \n",
+ "17 300 30.52 629.09 24.04 798.55 \n",
+ "18 300 55.97 343.05 10.83 1772.21 \n",
+ "19 300 29.86 643.09 34.23 560.95 \n",
+ "20 300 10.39 1847.62 7.26 2646.19 \n",
+ "21 300 5.12 3747.71 21.37 898.48 \n",
+ "22 300 9.87 1944.82 8.06 2382.29 \n",
+ "23 300 5.07 3783.71 22.01 872.26 \n",
+ "24 300 55.42 346.45 42.71 449.57 \n",
+ "25 300 29.40 653.09 42.23 454.69 \n",
+ "26 300 54.54 352.05 39.32 488.30 \n",
+ "27 300 30.04 639.09 43.62 440.16 \n",
+ "28 300 57.63 333.15 17.20 1116.23 \n",
+ "29 300 30.52 629.09 24.46 784.80 \n",
+ "30 300 56.63 339.05 10.50 1829.43 \n",
+ "31 300 29.86 643.09 33.66 570.34 \n",
+ "32 300 10.29 1865.62 4.55 4219.34 \n",
+ "33 300 5.12 3747.71 27.57 696.33 \n",
+ "34 300 10.20 1881.82 6.79 2826.49 \n",
+ "35 300 4.96 3873.71 27.10 708.36 \n",
+ "36 300 56.12 342.15 41.39 463.90 \n",
+ "37 300 28.96 663.09 42.62 450.51 \n",
+ "38 300 56.13 342.05 39.16 490.31 \n",
+ "39 300 30.09 638.09 42.82 448.36 \n",
+ "40 300 58.89 326.05 11.34 1693.38 \n",
+ "41 300 30.52 629.09 24.82 773.42 \n",
+ "42 300 58.71 327.05 17.32 1108.57 \n",
+ "43 300 29.40 653.09 24.97 768.97 \n",
+ "44 300 10.66 1800.82 7.26 2645.17 \n",
+ "45 300 5.12 3747.71 27.99 686.00 \n",
+ "46 300 10.61 1809.82 6.54 2937.48 \n",
+ "47 300 5.07 3783.71 20.78 924.04 "
+ ]
+ },
+ "execution_count": 122,
+ "metadata": {},
+ "output_type": "execute_result"
+ }
+ ],
+ "source": [
+ "# SKL\n",
+ "fig = plot_bar_graph(df_skl2, avx512=False, cyCL=False)#, title='SKL results ({})'.format(compiler))\n",
+ "compare_df(df_skl2, verbose=False)\n",
+ "df_skl2#.sort_values(by=['c_bench[MFLUPs]'], ascending=False)\n",
+ "\n",
+ "#iplot(fig, image='svg', filename='lbmpy_skl', image_width=1280)"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 101,
+ "metadata": {
+ "scrolled": true
+ },
+ "outputs": [
+ {
+ "data": {
+ "application/vnd.plotly.v1+json": {
+ "config": {
+ "plotlyServerURL": "https://plot.ly"
+ },
+ "data": [
+ {
+ "hoverinfo": "y+text",
+ "marker": {
+ "color": "indianred"
+ },
+ "name": "Meas [MFLUP/s]",
+ "text": [
+ "compressible=False,\ncse_pdfs=True,\ncse_global=True,\nsplit=False,\nvec_opt=avx,\naligned=True,\nnontemp=True",
+ "compressible=False,\ncse_pdfs=True,\ncse_global=True,\nsplit=True,\nvec_opt=avx,\naligned=True,\nnontemp=True",
+ "compressible=True,\ncse_pdfs=True,\ncse_global=True,\nsplit=False,\nvec_opt=avx,\naligned=True,\nnontemp=True",
+ "compressible=True,\ncse_pdfs=True,\ncse_global=True,\nsplit=True,\nvec_opt=avx,\naligned=True,\nnontemp=True",
+ "compressible=False,\ncse_pdfs=True,\ncse_global=True,\nsplit=False,\nvec_opt=avx,\naligned=True,\nnontemp=False",
+ "compressible=False,\ncse_pdfs=True,\ncse_global=True,\nsplit=True,\nvec_opt=avx,\naligned=True,\nnontemp=False",
+ "compressible=True,\ncse_pdfs=True,\ncse_global=True,\nsplit=False,\nvec_opt=avx,\naligned=True,\nnontemp=False",
+ "compressible=True,\ncse_pdfs=True,\ncse_global=True,\nsplit=True,\nvec_opt=avx,\naligned=True,\nnontemp=False",
+ "compressible=False,\ncse_pdfs=True,\ncse_global=True,\nsplit=False,\nvec_opt=avx,\naligned=False,\nnontemp=False",
+ "compressible=False,\ncse_pdfs=True,\ncse_global=True,\nsplit=True,\nvec_opt=avx,\naligned=False,\nnontemp=False",
+ "compressible=True,\ncse_pdfs=True,\ncse_global=True,\nsplit=False,\nvec_opt=avx,\naligned=False,\nnontemp=False",
+ "compressible=True,\ncse_pdfs=True,\ncse_global=True,\nsplit=True,\nvec_opt=avx,\naligned=False,\nnontemp=False",
+ "compressible=False,\ncse_pdfs=False,\ncse_global=True,\nsplit=False,\nvec_opt=avx,\naligned=True,\nnontemp=True",
+ "compressible=False,\ncse_pdfs=False,\ncse_global=True,\nsplit=True,\nvec_opt=avx,\naligned=True,\nnontemp=True",
+ "compressible=True,\ncse_pdfs=False,\ncse_global=True,\nsplit=False,\nvec_opt=avx,\naligned=True,\nnontemp=True",
+ "compressible=True,\ncse_pdfs=False,\ncse_global=True,\nsplit=True,\nvec_opt=avx,\naligned=True,\nnontemp=True",
+ "compressible=False,\ncse_pdfs=False,\ncse_global=True,\nsplit=False,\nvec_opt=avx,\naligned=True,\nnontemp=False",
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+ "compressible=True,\ncse_pdfs=False,\ncse_global=True,\nsplit=True,\nvec_opt=avx,\naligned=True,\nnontemp=False",
+ "compressible=False,\ncse_pdfs=False,\ncse_global=True,\nsplit=False,\nvec_opt=avx,\naligned=False,\nnontemp=False",
+ "compressible=False,\ncse_pdfs=False,\ncse_global=True,\nsplit=True,\nvec_opt=avx,\naligned=False,\nnontemp=False",
+ "compressible=True,\ncse_pdfs=False,\ncse_global=True,\nsplit=False,\nvec_opt=avx,\naligned=False,\nnontemp=False",
+ "compressible=True,\ncse_pdfs=False,\ncse_global=True,\nsplit=True,\nvec_opt=avx,\naligned=False,\nnontemp=False",
+ "compressible=False,\ncse_pdfs=True,\ncse_global=False,\nsplit=False,\nvec_opt=avx,\naligned=True,\nnontemp=True",
+ "compressible=False,\ncse_pdfs=True,\ncse_global=False,\nsplit=True,\nvec_opt=avx,\naligned=True,\nnontemp=True",
+ "compressible=True,\ncse_pdfs=True,\ncse_global=False,\nsplit=False,\nvec_opt=avx,\naligned=True,\nnontemp=True",
+ "compressible=True,\ncse_pdfs=True,\ncse_global=False,\nsplit=True,\nvec_opt=avx,\naligned=True,\nnontemp=True",
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+ "compressible=True,\ncse_pdfs=True,\ncse_global=False,\nsplit=False,\nvec_opt=avx,\naligned=True,\nnontemp=False",
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+ "compressible=False,\ncse_pdfs=False,\ncse_global=False,\nsplit=True,\nvec_opt=avx,\naligned=True,\nnontemp=True",
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+ "compressible=True,\ncse_pdfs=False,\ncse_global=False,\nsplit=True,\nvec_opt=avx,\naligned=False,\nnontemp=False"
+ ],
+ "type": "bar",
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+ },
+ {
+ "hoverinfo": "y+text",
+ "marker": {
+ "color": "steelblue"
+ },
+ "name": "ECM pred [MFLUP/s]",
+ "text": [
+ "compressible=False,\ncse_pdfs=True,\ncse_global=True,\nsplit=False,\nvec_opt=avx,\naligned=True,\nnontemp=True",
+ "compressible=False,\ncse_pdfs=True,\ncse_global=True,\nsplit=True,\nvec_opt=avx,\naligned=True,\nnontemp=True",
+ "compressible=True,\ncse_pdfs=True,\ncse_global=True,\nsplit=False,\nvec_opt=avx,\naligned=True,\nnontemp=True",
+ "compressible=True,\ncse_pdfs=True,\ncse_global=True,\nsplit=True,\nvec_opt=avx,\naligned=True,\nnontemp=True",
+ "compressible=False,\ncse_pdfs=True,\ncse_global=True,\nsplit=False,\nvec_opt=avx,\naligned=True,\nnontemp=False",
+ "compressible=False,\ncse_pdfs=True,\ncse_global=True,\nsplit=True,\nvec_opt=avx,\naligned=True,\nnontemp=False",
+ "compressible=True,\ncse_pdfs=True,\ncse_global=True,\nsplit=False,\nvec_opt=avx,\naligned=True,\nnontemp=False",
+ "compressible=True,\ncse_pdfs=True,\ncse_global=True,\nsplit=True,\nvec_opt=avx,\naligned=True,\nnontemp=False",
+ "compressible=False,\ncse_pdfs=True,\ncse_global=True,\nsplit=False,\nvec_opt=avx,\naligned=False,\nnontemp=False",
+ "compressible=False,\ncse_pdfs=True,\ncse_global=True,\nsplit=True,\nvec_opt=avx,\naligned=False,\nnontemp=False",
+ "compressible=True,\ncse_pdfs=True,\ncse_global=True,\nsplit=False,\nvec_opt=avx,\naligned=False,\nnontemp=False",
+ "compressible=True,\ncse_pdfs=True,\ncse_global=True,\nsplit=True,\nvec_opt=avx,\naligned=False,\nnontemp=False",
+ "compressible=False,\ncse_pdfs=False,\ncse_global=True,\nsplit=False,\nvec_opt=avx,\naligned=True,\nnontemp=True",
+ "compressible=False,\ncse_pdfs=False,\ncse_global=True,\nsplit=True,\nvec_opt=avx,\naligned=True,\nnontemp=True",
+ "compressible=True,\ncse_pdfs=False,\ncse_global=True,\nsplit=False,\nvec_opt=avx,\naligned=True,\nnontemp=True",
+ "compressible=True,\ncse_pdfs=False,\ncse_global=True,\nsplit=True,\nvec_opt=avx,\naligned=True,\nnontemp=True",
+ "compressible=False,\ncse_pdfs=False,\ncse_global=True,\nsplit=False,\nvec_opt=avx,\naligned=True,\nnontemp=False",
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+ "compressible=True,\ncse_pdfs=False,\ncse_global=True,\nsplit=False,\nvec_opt=avx,\naligned=True,\nnontemp=False",
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+ "text": [
+ "Maximum:\n",
+ " dim_x: 300, compressible: False, CSE_pdfs/global: True/False\n",
+ " split: True, vectorization: {avx, aligned: True, NT: True}\n",
+ " 38.46 MFLUP/s, 478.41 cy/CL (kerncraft: 15.81 MFLUP/s, 1163.46 cy/CL)\n",
+ "\n",
+ "Speedup split: (mean: 3.9079 ± 1.3496)\n",
+ "Speedup non-temporal STs: (mean: 1.1622 ± 0.3533)\n"
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+ " <th>compressible</th>\n",
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+ " <td>False</td>\n",
+ " <td>True</td>\n",
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+ " <td>15.81</td>\n",
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+ " <td>False</td>\n",
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+ " <td>True</td>\n",
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+ " <td>True</td>\n",
+ " <td>True</td>\n",
+ " <td>HSW</td>\n",
+ " <td>300</td>\n",
+ " <td>15.16</td>\n",
+ " <td>1213.46</td>\n",
+ " <td>38.11</td>\n",
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+ " <td>False</td>\n",
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+ " <td>True</td>\n",
+ " <td>avx</td>\n",
+ " <td>True</td>\n",
+ " <td>True</td>\n",
+ " <td>HSW</td>\n",
+ " <td>300</td>\n",
+ " <td>15.16</td>\n",
+ " <td>1213.46</td>\n",
+ " <td>37.99</td>\n",
+ " <td>484.28</td>\n",
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+ " <tr>\n",
+ " <th>27</th>\n",
+ " <td>True</td>\n",
+ " <td>True</td>\n",
+ " <td>False</td>\n",
+ " <td>True</td>\n",
+ " <td>avx</td>\n",
+ " <td>True</td>\n",
+ " <td>True</td>\n",
+ " <td>HSW</td>\n",
+ " <td>300</td>\n",
+ " <td>15.42</td>\n",
+ " <td>1193.46</td>\n",
+ " <td>37.35</td>\n",
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+ " <th>15</th>\n",
+ " <td>True</td>\n",
+ " <td>False</td>\n",
+ " <td>True</td>\n",
+ " <td>True</td>\n",
+ " <td>avx</td>\n",
+ " <td>True</td>\n",
+ " <td>True</td>\n",
+ " <td>HSW</td>\n",
+ " <td>300</td>\n",
+ " <td>15.16</td>\n",
+ " <td>1213.46</td>\n",
+ " <td>36.86</td>\n",
+ " <td>499.22</td>\n",
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+ " <tr>\n",
+ " <th>37</th>\n",
+ " <td>False</td>\n",
+ " <td>False</td>\n",
+ " <td>False</td>\n",
+ " <td>True</td>\n",
+ " <td>avx</td>\n",
+ " <td>True</td>\n",
+ " <td>True</td>\n",
+ " <td>HSW</td>\n",
+ " <td>300</td>\n",
+ " <td>15.81</td>\n",
+ " <td>1163.46</td>\n",
+ " <td>36.39</td>\n",
+ " <td>505.70</td>\n",
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+ " <td>True</td>\n",
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+ " <td>True</td>\n",
+ " <td>avx</td>\n",
+ " <td>True</td>\n",
+ " <td>True</td>\n",
+ " <td>HSW</td>\n",
+ " <td>300</td>\n",
+ " <td>15.52</td>\n",
+ " <td>1185.46</td>\n",
+ " <td>36.11</td>\n",
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+ " <tr>\n",
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+ " <td>True</td>\n",
+ " <td>False</td>\n",
+ " <td>False</td>\n",
+ " <td>True</td>\n",
+ " <td>avx</td>\n",
+ " <td>True</td>\n",
+ " <td>True</td>\n",
+ " <td>HSW</td>\n",
+ " <td>300</td>\n",
+ " <td>15.42</td>\n",
+ " <td>1193.46</td>\n",
+ " <td>35.79</td>\n",
+ " <td>514.05</td>\n",
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+ " <tr>\n",
+ " <th>41</th>\n",
+ " <td>False</td>\n",
+ " <td>False</td>\n",
+ " <td>False</td>\n",
+ " <td>True</td>\n",
+ " <td>avx</td>\n",
+ " <td>True</td>\n",
+ " <td>False</td>\n",
+ " <td>HSW</td>\n",
+ " <td>300</td>\n",
+ " <td>15.81</td>\n",
+ " <td>1163.46</td>\n",
+ " <td>25.17</td>\n",
+ " <td>730.89</td>\n",
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+ " <td>True</td>\n",
+ " <td>False</td>\n",
+ " <td>False</td>\n",
+ " <td>True</td>\n",
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+ " <td>False</td>\n",
+ " <td>True</td>\n",
+ " <td>True</td>\n",
+ " <td>True</td>\n",
+ " <td>avx</td>\n",
+ " <td>True</td>\n",
+ " <td>False</td>\n",
+ " <td>HSW</td>\n",
+ " <td>300</td>\n",
+ " <td>15.16</td>\n",
+ " <td>1213.46</td>\n",
+ " <td>25.04</td>\n",
+ " <td>734.78</td>\n",
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+ " <tr>\n",
+ " <th>17</th>\n",
+ " <td>False</td>\n",
+ " <td>False</td>\n",
+ " <td>True</td>\n",
+ " <td>True</td>\n",
+ " <td>avx</td>\n",
+ " <td>True</td>\n",
+ " <td>False</td>\n",
+ " <td>HSW</td>\n",
+ " <td>300</td>\n",
+ " <td>15.16</td>\n",
+ " <td>1213.46</td>\n",
+ " <td>25.02</td>\n",
+ " <td>735.42</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>29</th>\n",
+ " <td>False</td>\n",
+ " <td>True</td>\n",
+ " <td>False</td>\n",
+ " <td>True</td>\n",
+ " <td>avx</td>\n",
+ " <td>True</td>\n",
+ " <td>False</td>\n",
+ " <td>HSW</td>\n",
+ " <td>300</td>\n",
+ " <td>15.81</td>\n",
+ " <td>1163.46</td>\n",
+ " <td>24.99</td>\n",
+ " <td>736.16</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>7</th>\n",
+ " <td>True</td>\n",
+ " <td>True</td>\n",
+ " <td>True</td>\n",
+ " <td>True</td>\n",
+ " <td>avx</td>\n",
+ " <td>True</td>\n",
+ " <td>False</td>\n",
+ " <td>HSW</td>\n",
+ " <td>300</td>\n",
+ " <td>15.52</td>\n",
+ " <td>1185.46</td>\n",
+ " <td>24.58</td>\n",
+ " <td>748.48</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>19</th>\n",
+ " <td>True</td>\n",
+ " <td>False</td>\n",
+ " <td>True</td>\n",
+ " <td>True</td>\n",
+ " <td>avx</td>\n",
+ " <td>True</td>\n",
+ " <td>False</td>\n",
+ " <td>HSW</td>\n",
+ " <td>300</td>\n",
+ " <td>15.16</td>\n",
+ " <td>1213.46</td>\n",
+ " <td>24.30</td>\n",
+ " <td>757.31</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>31</th>\n",
+ " <td>True</td>\n",
+ " <td>True</td>\n",
+ " <td>False</td>\n",
+ " <td>True</td>\n",
+ " <td>avx</td>\n",
+ " <td>True</td>\n",
+ " <td>False</td>\n",
+ " <td>HSW</td>\n",
+ " <td>300</td>\n",
+ " <td>15.42</td>\n",
+ " <td>1193.46</td>\n",
+ " <td>24.29</td>\n",
+ " <td>757.53</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>9</th>\n",
+ " <td>False</td>\n",
+ " <td>True</td>\n",
+ " <td>True</td>\n",
+ " <td>True</td>\n",
+ " <td>avx</td>\n",
+ " <td>False</td>\n",
+ " <td>False</td>\n",
+ " <td>HSW</td>\n",
+ " <td>300</td>\n",
+ " <td>4.17</td>\n",
+ " <td>4416.48</td>\n",
+ " <td>22.52</td>\n",
+ " <td>816.98</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>11</th>\n",
+ " <td>True</td>\n",
+ " <td>True</td>\n",
+ " <td>True</td>\n",
+ " <td>True</td>\n",
+ " <td>avx</td>\n",
+ " <td>False</td>\n",
+ " <td>False</td>\n",
+ " <td>HSW</td>\n",
+ " <td>300</td>\n",
+ " <td>3.88</td>\n",
+ " <td>4746.58</td>\n",
+ " <td>22.41</td>\n",
+ " <td>820.95</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>23</th>\n",
+ " <td>True</td>\n",
+ " <td>False</td>\n",
+ " <td>True</td>\n",
+ " <td>True</td>\n",
+ " <td>avx</td>\n",
+ " <td>False</td>\n",
+ " <td>False</td>\n",
+ " <td>HSW</td>\n",
+ " <td>300</td>\n",
+ " <td>3.86</td>\n",
+ " <td>4768.58</td>\n",
+ " <td>22.15</td>\n",
+ " <td>830.80</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>33</th>\n",
+ " <td>False</td>\n",
+ " <td>True</td>\n",
+ " <td>False</td>\n",
+ " <td>True</td>\n",
+ " <td>avx</td>\n",
+ " <td>False</td>\n",
+ " <td>False</td>\n",
+ " <td>HSW</td>\n",
+ " <td>300</td>\n",
+ " <td>4.31</td>\n",
+ " <td>4266.48</td>\n",
+ " <td>22.14</td>\n",
+ " <td>831.22</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>47</th>\n",
+ " <td>True</td>\n",
+ " <td>False</td>\n",
+ " <td>False</td>\n",
+ " <td>True</td>\n",
+ " <td>avx</td>\n",
+ " <td>False</td>\n",
+ " <td>False</td>\n",
+ " <td>HSW</td>\n",
+ " <td>300</td>\n",
+ " <td>3.87</td>\n",
+ " <td>4753.46</td>\n",
+ " <td>21.95</td>\n",
+ " <td>838.18</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>21</th>\n",
+ " <td>False</td>\n",
+ " <td>False</td>\n",
+ " <td>True</td>\n",
+ " <td>True</td>\n",
+ " <td>avx</td>\n",
+ " <td>False</td>\n",
+ " <td>False</td>\n",
+ " <td>HSW</td>\n",
+ " <td>300</td>\n",
+ " <td>4.26</td>\n",
+ " <td>4316.48</td>\n",
+ " <td>21.91</td>\n",
+ " <td>839.98</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>45</th>\n",
+ " <td>False</td>\n",
+ " <td>False</td>\n",
+ " <td>False</td>\n",
+ " <td>True</td>\n",
+ " <td>avx</td>\n",
+ " <td>False</td>\n",
+ " <td>False</td>\n",
+ " <td>HSW</td>\n",
+ " <td>300</td>\n",
+ " <td>4.31</td>\n",
+ " <td>4266.48</td>\n",
+ " <td>21.79</td>\n",
+ " <td>844.32</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>35</th>\n",
+ " <td>True</td>\n",
+ " <td>True</td>\n",
+ " <td>False</td>\n",
+ " <td>True</td>\n",
+ " <td>avx</td>\n",
+ " <td>False</td>\n",
+ " <td>False</td>\n",
+ " <td>HSW</td>\n",
+ " <td>300</td>\n",
+ " <td>3.84</td>\n",
+ " <td>4785.78</td>\n",
+ " <td>21.17</td>\n",
+ " <td>869.04</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>16</th>\n",
+ " <td>False</td>\n",
+ " <td>False</td>\n",
+ " <td>True</td>\n",
+ " <td>False</td>\n",
+ " <td>avx</td>\n",
+ " <td>True</td>\n",
+ " <td>False</td>\n",
+ " <td>HSW</td>\n",
+ " <td>300</td>\n",
+ " <td>30.59</td>\n",
+ " <td>601.56</td>\n",
+ " <td>13.23</td>\n",
+ " <td>1391.14</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>30</th>\n",
+ " <td>True</td>\n",
+ " <td>True</td>\n",
+ " <td>False</td>\n",
+ " <td>False</td>\n",
+ " <td>avx</td>\n",
+ " <td>True</td>\n",
+ " <td>False</td>\n",
+ " <td>HSW</td>\n",
+ " <td>300</td>\n",
+ " <td>30.10</td>\n",
+ " <td>611.36</td>\n",
+ " <td>12.79</td>\n",
+ " <td>1438.46</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>28</th>\n",
+ " <td>False</td>\n",
+ " <td>True</td>\n",
+ " <td>False</td>\n",
+ " <td>False</td>\n",
+ " <td>avx</td>\n",
+ " <td>True</td>\n",
+ " <td>False</td>\n",
+ " <td>HSW</td>\n",
+ " <td>300</td>\n",
+ " <td>30.01</td>\n",
+ " <td>613.16</td>\n",
+ " <td>12.77</td>\n",
+ " <td>1440.55</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>18</th>\n",
+ " <td>True</td>\n",
+ " <td>False</td>\n",
+ " <td>True</td>\n",
+ " <td>False</td>\n",
+ " <td>avx</td>\n",
+ " <td>True</td>\n",
+ " <td>False</td>\n",
+ " <td>HSW</td>\n",
+ " <td>300</td>\n",
+ " <td>29.33</td>\n",
+ " <td>627.36</td>\n",
+ " <td>12.12</td>\n",
+ " <td>1518.66</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>4</th>\n",
+ " <td>False</td>\n",
+ " <td>True</td>\n",
+ " <td>True</td>\n",
+ " <td>False</td>\n",
+ " <td>avx</td>\n",
+ " <td>True</td>\n",
+ " <td>False</td>\n",
+ " <td>HSW</td>\n",
+ " <td>300</td>\n",
+ " <td>31.23</td>\n",
+ " <td>589.16</td>\n",
+ " <td>11.36</td>\n",
+ " <td>1619.83</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>6</th>\n",
+ " <td>True</td>\n",
+ " <td>True</td>\n",
+ " <td>True</td>\n",
+ " <td>False</td>\n",
+ " <td>avx</td>\n",
+ " <td>True</td>\n",
+ " <td>False</td>\n",
+ " <td>HSW</td>\n",
+ " <td>300</td>\n",
+ " <td>30.41</td>\n",
+ " <td>605.16</td>\n",
+ " <td>11.12</td>\n",
+ " <td>1655.34</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>36</th>\n",
+ " <td>False</td>\n",
+ " <td>False</td>\n",
+ " <td>False</td>\n",
+ " <td>False</td>\n",
+ " <td>avx</td>\n",
+ " <td>True</td>\n",
+ " <td>True</td>\n",
+ " <td>HSW</td>\n",
+ " <td>300</td>\n",
+ " <td>30.51</td>\n",
+ " <td>603.16</td>\n",
+ " <td>9.91</td>\n",
+ " <td>1856.44</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>24</th>\n",
+ " <td>False</td>\n",
+ " <td>True</td>\n",
+ " <td>False</td>\n",
+ " <td>False</td>\n",
+ " <td>avx</td>\n",
+ " <td>True</td>\n",
+ " <td>True</td>\n",
+ " <td>HSW</td>\n",
+ " <td>300</td>\n",
+ " <td>30.21</td>\n",
+ " <td>609.16</td>\n",
+ " <td>9.64</td>\n",
+ " <td>1909.26</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>12</th>\n",
+ " <td>False</td>\n",
+ " <td>False</td>\n",
+ " <td>True</td>\n",
+ " <td>False</td>\n",
+ " <td>avx</td>\n",
+ " <td>True</td>\n",
+ " <td>True</td>\n",
+ " <td>HSW</td>\n",
+ " <td>300</td>\n",
+ " <td>30.19</td>\n",
+ " <td>609.56</td>\n",
+ " <td>9.57</td>\n",
+ " <td>1921.87</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>0</th>\n",
+ " <td>False</td>\n",
+ " <td>True</td>\n",
+ " <td>True</td>\n",
+ " <td>False</td>\n",
+ " <td>avx</td>\n",
+ " <td>True</td>\n",
+ " <td>True</td>\n",
+ " <td>HSW</td>\n",
+ " <td>300</td>\n",
+ " <td>30.61</td>\n",
+ " <td>601.16</td>\n",
+ " <td>9.51</td>\n",
+ " <td>1935.13</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>38</th>\n",
+ " <td>True</td>\n",
+ " <td>False</td>\n",
+ " <td>False</td>\n",
+ " <td>False</td>\n",
+ " <td>avx</td>\n",
+ " <td>True</td>\n",
+ " <td>True</td>\n",
+ " <td>HSW</td>\n",
+ " <td>300</td>\n",
+ " <td>30.41</td>\n",
+ " <td>605.16</td>\n",
+ " <td>9.36</td>\n",
+ " <td>1964.94</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>40</th>\n",
+ " <td>False</td>\n",
+ " <td>False</td>\n",
+ " <td>False</td>\n",
+ " <td>False</td>\n",
+ " <td>avx</td>\n",
+ " <td>True</td>\n",
+ " <td>False</td>\n",
+ " <td>HSW</td>\n",
+ " <td>300</td>\n",
+ " <td>30.61</td>\n",
+ " <td>601.16</td>\n",
+ " <td>8.97</td>\n",
+ " <td>2051.54</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>42</th>\n",
+ " <td>True</td>\n",
+ " <td>False</td>\n",
+ " <td>False</td>\n",
+ " <td>False</td>\n",
+ " <td>avx</td>\n",
+ " <td>True</td>\n",
+ " <td>False</td>\n",
+ " <td>HSW</td>\n",
+ " <td>300</td>\n",
+ " <td>30.40</td>\n",
+ " <td>605.36</td>\n",
+ " <td>8.91</td>\n",
+ " <td>2066.18</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>26</th>\n",
+ " <td>True</td>\n",
+ " <td>True</td>\n",
+ " <td>False</td>\n",
+ " <td>False</td>\n",
+ " <td>avx</td>\n",
+ " <td>True</td>\n",
+ " <td>True</td>\n",
+ " <td>HSW</td>\n",
+ " <td>300</td>\n",
+ " <td>30.11</td>\n",
+ " <td>611.16</td>\n",
+ " <td>8.86</td>\n",
+ " <td>2075.91</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>2</th>\n",
+ " <td>True</td>\n",
+ " <td>True</td>\n",
+ " <td>True</td>\n",
+ " <td>False</td>\n",
+ " <td>avx</td>\n",
+ " <td>True</td>\n",
+ " <td>True</td>\n",
+ " <td>HSW</td>\n",
+ " <td>300</td>\n",
+ " <td>30.11</td>\n",
+ " <td>611.16</td>\n",
+ " <td>8.75</td>\n",
+ " <td>2101.97</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>14</th>\n",
+ " <td>True</td>\n",
+ " <td>False</td>\n",
+ " <td>True</td>\n",
+ " <td>False</td>\n",
+ " <td>avx</td>\n",
+ " <td>True</td>\n",
+ " <td>True</td>\n",
+ " <td>HSW</td>\n",
+ " <td>300</td>\n",
+ " <td>28.70</td>\n",
+ " <td>641.16</td>\n",
+ " <td>8.09</td>\n",
+ " <td>2273.73</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>44</th>\n",
+ " <td>False</td>\n",
+ " <td>False</td>\n",
+ " <td>False</td>\n",
+ " <td>False</td>\n",
+ " <td>avx</td>\n",
+ " <td>False</td>\n",
+ " <td>False</td>\n",
+ " <td>HSW</td>\n",
+ " <td>300</td>\n",
+ " <td>6.03</td>\n",
+ " <td>3052.62</td>\n",
+ " <td>4.10</td>\n",
+ " <td>4487.52</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>20</th>\n",
+ " <td>False</td>\n",
+ " <td>False</td>\n",
+ " <td>True</td>\n",
+ " <td>False</td>\n",
+ " <td>avx</td>\n",
+ " <td>False</td>\n",
+ " <td>False</td>\n",
+ " <td>HSW</td>\n",
+ " <td>300</td>\n",
+ " <td>6.11</td>\n",
+ " <td>3013.62</td>\n",
+ " <td>4.08</td>\n",
+ " <td>4505.69</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>8</th>\n",
+ " <td>False</td>\n",
+ " <td>True</td>\n",
+ " <td>True</td>\n",
+ " <td>False</td>\n",
+ " <td>avx</td>\n",
+ " <td>False</td>\n",
+ " <td>False</td>\n",
+ " <td>HSW</td>\n",
+ " <td>300</td>\n",
+ " <td>6.23</td>\n",
+ " <td>2952.62</td>\n",
+ " <td>4.06</td>\n",
+ " <td>4531.61</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>34</th>\n",
+ " <td>True</td>\n",
+ " <td>True</td>\n",
+ " <td>False</td>\n",
+ " <td>False</td>\n",
+ " <td>avx</td>\n",
+ " <td>False</td>\n",
+ " <td>False</td>\n",
+ " <td>HSW</td>\n",
+ " <td>300</td>\n",
+ " <td>6.01</td>\n",
+ " <td>3063.62</td>\n",
+ " <td>4.05</td>\n",
+ " <td>4547.88</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>32</th>\n",
+ " <td>False</td>\n",
+ " <td>True</td>\n",
+ " <td>False</td>\n",
+ " <td>False</td>\n",
+ " <td>avx</td>\n",
+ " <td>False</td>\n",
+ " <td>False</td>\n",
+ " <td>HSW</td>\n",
+ " <td>300</td>\n",
+ " <td>6.03</td>\n",
+ " <td>3052.62</td>\n",
+ " <td>4.01</td>\n",
+ " <td>4586.93</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>10</th>\n",
+ " <td>True</td>\n",
+ " <td>True</td>\n",
+ " <td>True</td>\n",
+ " <td>False</td>\n",
+ " <td>avx</td>\n",
+ " <td>False</td>\n",
+ " <td>False</td>\n",
+ " <td>HSW</td>\n",
+ " <td>300</td>\n",
+ " <td>6.07</td>\n",
+ " <td>3033.62</td>\n",
+ " <td>4.01</td>\n",
+ " <td>4589.41</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>46</th>\n",
+ " <td>True</td>\n",
+ " <td>False</td>\n",
+ " <td>False</td>\n",
+ " <td>False</td>\n",
+ " <td>avx</td>\n",
+ " <td>False</td>\n",
+ " <td>False</td>\n",
+ " <td>HSW</td>\n",
+ " <td>300</td>\n",
+ " <td>6.07</td>\n",
+ " <td>3033.62</td>\n",
+ " <td>4.00</td>\n",
+ " <td>4605.61</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>22</th>\n",
+ " <td>True</td>\n",
+ " <td>False</td>\n",
+ " <td>True</td>\n",
+ " <td>False</td>\n",
+ " <td>avx</td>\n",
+ " <td>False</td>\n",
+ " <td>False</td>\n",
+ " <td>HSW</td>\n",
+ " <td>300</td>\n",
+ " <td>5.85</td>\n",
+ " <td>3143.62</td>\n",
+ " <td>3.96</td>\n",
+ " <td>4641.76</td>\n",
+ " </tr>\n",
+ " </tbody>\n",
+ "</table>\n",
+ "</div>"
+ ],
+ "text/plain": [
+ " compressible cse_pdfs cse_global split vec_opt aligned nontemp arch \\\n",
+ "25 False True False True avx True True HSW \n",
+ "13 False False True True avx True True HSW \n",
+ "1 False True True True avx True True HSW \n",
+ "27 True True False True avx True True HSW \n",
+ "15 True False True True avx True True HSW \n",
+ "37 False False False True avx True True HSW \n",
+ "3 True True True True avx True True HSW \n",
+ "39 True False False True avx True True HSW \n",
+ "41 False False False True avx True False HSW \n",
+ "43 True False False True avx True False HSW \n",
+ "5 False True True True avx True False HSW \n",
+ "17 False False True True avx True False HSW \n",
+ "29 False True False True avx True False HSW \n",
+ "7 True True True True avx True False HSW \n",
+ "19 True False True True avx True False HSW \n",
+ "31 True True False True avx True False HSW \n",
+ "9 False True True True avx False False HSW \n",
+ "11 True True True True avx False False HSW \n",
+ "23 True False True True avx False False HSW \n",
+ "33 False True False True avx False False HSW \n",
+ "47 True False False True avx False False HSW \n",
+ "21 False False True True avx False False HSW \n",
+ "45 False False False True avx False False HSW \n",
+ "35 True True False True avx False False HSW \n",
+ "16 False False True False avx True False HSW \n",
+ "30 True True False False avx True False HSW \n",
+ "28 False True False False avx True False HSW \n",
+ "18 True False True False avx True False HSW \n",
+ "4 False True True False avx True False HSW \n",
+ "6 True True True False avx True False HSW \n",
+ "36 False False False False avx True True HSW \n",
+ "24 False True False False avx True True HSW \n",
+ "12 False False True False avx True True HSW \n",
+ "0 False True True False avx True True HSW \n",
+ "38 True False False False avx True True HSW \n",
+ "40 False False False False avx True False HSW \n",
+ "42 True False False False avx True False HSW \n",
+ "26 True True False False avx True True HSW \n",
+ "2 True True True False avx True True HSW \n",
+ "14 True False True False avx True True HSW \n",
+ "44 False False False False avx False False HSW \n",
+ "20 False False True False avx False False HSW \n",
+ "8 False True True False avx False False HSW \n",
+ "34 True True False False avx False False HSW \n",
+ "32 False True False False avx False False HSW \n",
+ "10 True True True False avx False False HSW \n",
+ "46 True False False False avx False False HSW \n",
+ "22 True False True False avx False False HSW \n",
+ "\n",
+ " dim_x ECM[MIt/s] ECM_cyCL[cy/CL] c_bench[MFLUPs] c_bench_cyCL[cy/CL] \n",
+ "25 300 15.81 1163.46 38.46 478.41 \n",
+ "13 300 15.16 1213.46 38.11 482.77 \n",
+ "1 300 15.16 1213.46 37.99 484.28 \n",
+ "27 300 15.42 1193.46 37.35 492.65 \n",
+ "15 300 15.16 1213.46 36.86 499.22 \n",
+ "37 300 15.81 1163.46 36.39 505.70 \n",
+ "3 300 15.52 1185.46 36.11 509.51 \n",
+ "39 300 15.42 1193.46 35.79 514.05 \n",
+ "41 300 15.81 1163.46 25.17 730.89 \n",
+ "43 300 15.42 1193.46 25.04 734.89 \n",
+ "5 300 15.16 1213.46 25.04 734.78 \n",
+ "17 300 15.16 1213.46 25.02 735.42 \n",
+ "29 300 15.81 1163.46 24.99 736.16 \n",
+ "7 300 15.52 1185.46 24.58 748.48 \n",
+ "19 300 15.16 1213.46 24.30 757.31 \n",
+ "31 300 15.42 1193.46 24.29 757.53 \n",
+ "9 300 4.17 4416.48 22.52 816.98 \n",
+ "11 300 3.88 4746.58 22.41 820.95 \n",
+ "23 300 3.86 4768.58 22.15 830.80 \n",
+ "33 300 4.31 4266.48 22.14 831.22 \n",
+ "47 300 3.87 4753.46 21.95 838.18 \n",
+ "21 300 4.26 4316.48 21.91 839.98 \n",
+ "45 300 4.31 4266.48 21.79 844.32 \n",
+ "35 300 3.84 4785.78 21.17 869.04 \n",
+ "16 300 30.59 601.56 13.23 1391.14 \n",
+ "30 300 30.10 611.36 12.79 1438.46 \n",
+ "28 300 30.01 613.16 12.77 1440.55 \n",
+ "18 300 29.33 627.36 12.12 1518.66 \n",
+ "4 300 31.23 589.16 11.36 1619.83 \n",
+ "6 300 30.41 605.16 11.12 1655.34 \n",
+ "36 300 30.51 603.16 9.91 1856.44 \n",
+ "24 300 30.21 609.16 9.64 1909.26 \n",
+ "12 300 30.19 609.56 9.57 1921.87 \n",
+ "0 300 30.61 601.16 9.51 1935.13 \n",
+ "38 300 30.41 605.16 9.36 1964.94 \n",
+ "40 300 30.61 601.16 8.97 2051.54 \n",
+ "42 300 30.40 605.36 8.91 2066.18 \n",
+ "26 300 30.11 611.16 8.86 2075.91 \n",
+ "2 300 30.11 611.16 8.75 2101.97 \n",
+ "14 300 28.70 641.16 8.09 2273.73 \n",
+ "44 300 6.03 3052.62 4.10 4487.52 \n",
+ "20 300 6.11 3013.62 4.08 4505.69 \n",
+ "8 300 6.23 2952.62 4.06 4531.61 \n",
+ "34 300 6.01 3063.62 4.05 4547.88 \n",
+ "32 300 6.03 3052.62 4.01 4586.93 \n",
+ "10 300 6.07 3033.62 4.01 4589.41 \n",
+ "46 300 6.07 3033.62 4.00 4605.61 \n",
+ "22 300 5.85 3143.62 3.96 4641.76 "
+ ]
+ },
+ "execution_count": 101,
+ "metadata": {},
+ "output_type": "execute_result"
+ }
+ ],
+ "source": [
+ "# HSW\n",
+ "fig = plot_bar_graph(df_hsw2, cyCL=False)#, title='HSW results ({})'.format(compiler))\n",
+ "compare_df(df_hsw2, verbose=False)\n",
+ "df_hsw2.sort_values(by=['c_bench[MFLUPs]'], ascending=False)\n",
+ "\n",
+ "#iplot(fig, image='svg', filename='lbmpy_hsw', image_width=1280)"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 100,
+ "metadata": {
+ "scrolled": false
+ },
+ "outputs": [
+ {
+ "data": {
+ "application/vnd.plotly.v1+json": {
+ "config": {
+ "plotlyServerURL": "https://plot.ly"
+ },
+ "data": [
+ {
+ "hoverinfo": "y+text",
+ "marker": {
+ "color": "indianred"
+ },
+ "name": "Meas [MFLUP/s]",
+ "text": [
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+ "text": [
+ "Maximum:\n",
+ " dim_x: 300, compressible: False, CSE_pdfs/global: True/False\n",
+ " split: True, vectorization: {avx, aligned: True, NT: False}\n",
+ " 21.83 MFLUP/s, 806.32 cy/CL (kerncraft: 12.24 MFLUP/s, 1438.48 cy/CL)\n",
+ "\n",
+ "Speedup split: (mean: 6.9529 ± 4.0463)\n",
+ "Speedup non-temporal STs: (mean: 0.3882 ± 0.2526)\n"
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+ " <td>False</td>\n",
+ " <td>False</td>\n",
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+ " <th>5</th>\n",
+ " <td>False</td>\n",
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+ " <th>31</th>\n",
+ " <td>True</td>\n",
+ " <td>True</td>\n",
+ " <td>False</td>\n",
+ " <td>True</td>\n",
+ " <td>avx</td>\n",
+ " <td>True</td>\n",
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+ " <td>300</td>\n",
+ " <td>12.07</td>\n",
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+ " <td>True</td>\n",
+ " <td>False</td>\n",
+ " <td>True</td>\n",
+ " <td>True</td>\n",
+ " <td>avx</td>\n",
+ " <td>True</td>\n",
+ " <td>False</td>\n",
+ " <td>IVB</td>\n",
+ " <td>300</td>\n",
+ " <td>11.15</td>\n",
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+ " <td>True</td>\n",
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+ " <td>IVB</td>\n",
+ " <td>300</td>\n",
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+ " <td>True</td>\n",
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+ " <td>300</td>\n",
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+ " <td>False</td>\n",
+ " <td>True</td>\n",
+ " <td>False</td>\n",
+ " <td>True</td>\n",
+ " <td>avx</td>\n",
+ " <td>False</td>\n",
+ " <td>False</td>\n",
+ " <td>IVB</td>\n",
+ " <td>300</td>\n",
+ " <td>2.80</td>\n",
+ " <td>6295.83</td>\n",
+ " <td>19.42</td>\n",
+ " <td>906.28</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>45</th>\n",
+ " <td>False</td>\n",
+ " <td>False</td>\n",
+ " <td>False</td>\n",
+ " <td>True</td>\n",
+ " <td>avx</td>\n",
+ " <td>False</td>\n",
+ " <td>False</td>\n",
+ " <td>IVB</td>\n",
+ " <td>300</td>\n",
+ " <td>2.80</td>\n",
+ " <td>6295.83</td>\n",
+ " <td>19.37</td>\n",
+ " <td>908.52</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>9</th>\n",
+ " <td>False</td>\n",
+ " <td>True</td>\n",
+ " <td>True</td>\n",
+ " <td>True</td>\n",
+ " <td>avx</td>\n",
+ " <td>False</td>\n",
+ " <td>False</td>\n",
+ " <td>IVB</td>\n",
+ " <td>300</td>\n",
+ " <td>2.26</td>\n",
+ " <td>7795.83</td>\n",
+ " <td>19.24</td>\n",
+ " <td>914.65</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>35</th>\n",
+ " <td>True</td>\n",
+ " <td>True</td>\n",
+ " <td>False</td>\n",
+ " <td>True</td>\n",
+ " <td>avx</td>\n",
+ " <td>False</td>\n",
+ " <td>False</td>\n",
+ " <td>IVB</td>\n",
+ " <td>300</td>\n",
+ " <td>2.75</td>\n",
+ " <td>6395.83</td>\n",
+ " <td>19.20</td>\n",
+ " <td>916.54</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>21</th>\n",
+ " <td>False</td>\n",
+ " <td>False</td>\n",
+ " <td>True</td>\n",
+ " <td>True</td>\n",
+ " <td>avx</td>\n",
+ " <td>False</td>\n",
+ " <td>False</td>\n",
+ " <td>IVB</td>\n",
+ " <td>300</td>\n",
+ " <td>2.52</td>\n",
+ " <td>6995.83</td>\n",
+ " <td>19.16</td>\n",
+ " <td>918.53</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>47</th>\n",
+ " <td>True</td>\n",
+ " <td>False</td>\n",
+ " <td>False</td>\n",
+ " <td>True</td>\n",
+ " <td>avx</td>\n",
+ " <td>False</td>\n",
+ " <td>False</td>\n",
+ " <td>IVB</td>\n",
+ " <td>300</td>\n",
+ " <td>2.75</td>\n",
+ " <td>6395.83</td>\n",
+ " <td>18.87</td>\n",
+ " <td>932.65</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>23</th>\n",
+ " <td>True</td>\n",
+ " <td>False</td>\n",
+ " <td>True</td>\n",
+ " <td>True</td>\n",
+ " <td>avx</td>\n",
+ " <td>False</td>\n",
+ " <td>False</td>\n",
+ " <td>IVB</td>\n",
+ " <td>300</td>\n",
+ " <td>2.53</td>\n",
+ " <td>6945.83</td>\n",
+ " <td>18.56</td>\n",
+ " <td>948.42</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>11</th>\n",
+ " <td>True</td>\n",
+ " <td>True</td>\n",
+ " <td>True</td>\n",
+ " <td>True</td>\n",
+ " <td>avx</td>\n",
+ " <td>False</td>\n",
+ " <td>False</td>\n",
+ " <td>IVB</td>\n",
+ " <td>300</td>\n",
+ " <td>2.17</td>\n",
+ " <td>8095.83</td>\n",
+ " <td>17.52</td>\n",
+ " <td>1004.37</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>1</th>\n",
+ " <td>False</td>\n",
+ " <td>True</td>\n",
+ " <td>True</td>\n",
+ " <td>True</td>\n",
+ " <td>avx</td>\n",
+ " <td>True</td>\n",
+ " <td>True</td>\n",
+ " <td>IVB</td>\n",
+ " <td>300</td>\n",
+ " <td>12.07</td>\n",
+ " <td>1458.48</td>\n",
+ " <td>13.76</td>\n",
+ " <td>1279.28</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>37</th>\n",
+ " <td>False</td>\n",
+ " <td>False</td>\n",
+ " <td>False</td>\n",
+ " <td>True</td>\n",
+ " <td>avx</td>\n",
+ " <td>True</td>\n",
+ " <td>True</td>\n",
+ " <td>IVB</td>\n",
+ " <td>300</td>\n",
+ " <td>12.41</td>\n",
+ " <td>1418.48</td>\n",
+ " <td>13.76</td>\n",
+ " <td>1279.51</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>25</th>\n",
+ " <td>False</td>\n",
+ " <td>True</td>\n",
+ " <td>False</td>\n",
+ " <td>True</td>\n",
+ " <td>avx</td>\n",
+ " <td>True</td>\n",
+ " <td>True</td>\n",
+ " <td>IVB</td>\n",
+ " <td>300</td>\n",
+ " <td>12.24</td>\n",
+ " <td>1438.48</td>\n",
+ " <td>13.75</td>\n",
+ " <td>1279.76</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>13</th>\n",
+ " <td>False</td>\n",
+ " <td>False</td>\n",
+ " <td>True</td>\n",
+ " <td>True</td>\n",
+ " <td>avx</td>\n",
+ " <td>True</td>\n",
+ " <td>True</td>\n",
+ " <td>IVB</td>\n",
+ " <td>300</td>\n",
+ " <td>12.24</td>\n",
+ " <td>1438.48</td>\n",
+ " <td>13.66</td>\n",
+ " <td>1288.78</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>39</th>\n",
+ " <td>True</td>\n",
+ " <td>False</td>\n",
+ " <td>False</td>\n",
+ " <td>True</td>\n",
+ " <td>avx</td>\n",
+ " <td>True</td>\n",
+ " <td>True</td>\n",
+ " <td>IVB</td>\n",
+ " <td>300</td>\n",
+ " <td>12.07</td>\n",
+ " <td>1458.48</td>\n",
+ " <td>13.64</td>\n",
+ " <td>1290.36</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>27</th>\n",
+ " <td>True</td>\n",
+ " <td>True</td>\n",
+ " <td>False</td>\n",
+ " <td>True</td>\n",
+ " <td>avx</td>\n",
+ " <td>True</td>\n",
+ " <td>True</td>\n",
+ " <td>IVB</td>\n",
+ " <td>300</td>\n",
+ " <td>12.07</td>\n",
+ " <td>1458.48</td>\n",
+ " <td>13.56</td>\n",
+ " <td>1297.59</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>15</th>\n",
+ " <td>True</td>\n",
+ " <td>False</td>\n",
+ " <td>True</td>\n",
+ " <td>True</td>\n",
+ " <td>avx</td>\n",
+ " <td>True</td>\n",
+ " <td>True</td>\n",
+ " <td>IVB</td>\n",
+ " <td>300</td>\n",
+ " <td>11.15</td>\n",
+ " <td>1578.48</td>\n",
+ " <td>13.42</td>\n",
+ " <td>1311.34</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>3</th>\n",
+ " <td>True</td>\n",
+ " <td>True</td>\n",
+ " <td>True</td>\n",
+ " <td>True</td>\n",
+ " <td>avx</td>\n",
+ " <td>True</td>\n",
+ " <td>True</td>\n",
+ " <td>IVB</td>\n",
+ " <td>300</td>\n",
+ " <td>11.22</td>\n",
+ " <td>1568.48</td>\n",
+ " <td>13.36</td>\n",
+ " <td>1317.02</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>28</th>\n",
+ " <td>False</td>\n",
+ " <td>True</td>\n",
+ " <td>False</td>\n",
+ " <td>False</td>\n",
+ " <td>avx</td>\n",
+ " <td>True</td>\n",
+ " <td>False</td>\n",
+ " <td>IVB</td>\n",
+ " <td>300</td>\n",
+ " <td>29.50</td>\n",
+ " <td>596.61</td>\n",
+ " <td>10.19</td>\n",
+ " <td>1727.31</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>4</th>\n",
+ " <td>False</td>\n",
+ " <td>True</td>\n",
+ " <td>True</td>\n",
+ " <td>False</td>\n",
+ " <td>avx</td>\n",
+ " <td>True</td>\n",
+ " <td>False</td>\n",
+ " <td>IVB</td>\n",
+ " <td>300</td>\n",
+ " <td>27.47</td>\n",
+ " <td>640.61</td>\n",
+ " <td>9.43</td>\n",
+ " <td>1866.50</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>40</th>\n",
+ " <td>False</td>\n",
+ " <td>False</td>\n",
+ " <td>False</td>\n",
+ " <td>False</td>\n",
+ " <td>avx</td>\n",
+ " <td>True</td>\n",
+ " <td>False</td>\n",
+ " <td>IVB</td>\n",
+ " <td>300</td>\n",
+ " <td>29.35</td>\n",
+ " <td>599.61</td>\n",
+ " <td>8.63</td>\n",
+ " <td>2039.57</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>6</th>\n",
+ " <td>True</td>\n",
+ " <td>True</td>\n",
+ " <td>True</td>\n",
+ " <td>False</td>\n",
+ " <td>avx</td>\n",
+ " <td>True</td>\n",
+ " <td>False</td>\n",
+ " <td>IVB</td>\n",
+ " <td>300</td>\n",
+ " <td>26.52</td>\n",
+ " <td>663.61</td>\n",
+ " <td>8.46</td>\n",
+ " <td>2079.44</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>30</th>\n",
+ " <td>True</td>\n",
+ " <td>True</td>\n",
+ " <td>False</td>\n",
+ " <td>False</td>\n",
+ " <td>avx</td>\n",
+ " <td>True</td>\n",
+ " <td>False</td>\n",
+ " <td>IVB</td>\n",
+ " <td>300</td>\n",
+ " <td>28.97</td>\n",
+ " <td>607.61</td>\n",
+ " <td>8.34</td>\n",
+ " <td>2111.14</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>16</th>\n",
+ " <td>False</td>\n",
+ " <td>False</td>\n",
+ " <td>True</td>\n",
+ " <td>False</td>\n",
+ " <td>avx</td>\n",
+ " <td>True</td>\n",
+ " <td>False</td>\n",
+ " <td>IVB</td>\n",
+ " <td>300</td>\n",
+ " <td>24.94</td>\n",
+ " <td>705.61</td>\n",
+ " <td>7.33</td>\n",
+ " <td>2400.47</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>18</th>\n",
+ " <td>True</td>\n",
+ " <td>False</td>\n",
+ " <td>True</td>\n",
+ " <td>False</td>\n",
+ " <td>avx</td>\n",
+ " <td>True</td>\n",
+ " <td>False</td>\n",
+ " <td>IVB</td>\n",
+ " <td>300</td>\n",
+ " <td>24.12</td>\n",
+ " <td>729.61</td>\n",
+ " <td>7.18</td>\n",
+ " <td>2451.55</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>42</th>\n",
+ " <td>True</td>\n",
+ " <td>False</td>\n",
+ " <td>False</td>\n",
+ " <td>False</td>\n",
+ " <td>avx</td>\n",
+ " <td>True</td>\n",
+ " <td>False</td>\n",
+ " <td>IVB</td>\n",
+ " <td>300</td>\n",
+ " <td>28.27</td>\n",
+ " <td>622.61</td>\n",
+ " <td>6.84</td>\n",
+ " <td>2573.57</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>44</th>\n",
+ " <td>False</td>\n",
+ " <td>False</td>\n",
+ " <td>False</td>\n",
+ " <td>False</td>\n",
+ " <td>avx</td>\n",
+ " <td>False</td>\n",
+ " <td>False</td>\n",
+ " <td>IVB</td>\n",
+ " <td>300</td>\n",
+ " <td>5.84</td>\n",
+ " <td>3013.26</td>\n",
+ " <td>3.34</td>\n",
+ " <td>5271.10</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>46</th>\n",
+ " <td>True</td>\n",
+ " <td>False</td>\n",
+ " <td>False</td>\n",
+ " <td>False</td>\n",
+ " <td>avx</td>\n",
+ " <td>False</td>\n",
+ " <td>False</td>\n",
+ " <td>IVB</td>\n",
+ " <td>300</td>\n",
+ " <td>5.64</td>\n",
+ " <td>3123.26</td>\n",
+ " <td>3.29</td>\n",
+ " <td>5345.65</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>32</th>\n",
+ " <td>False</td>\n",
+ " <td>True</td>\n",
+ " <td>False</td>\n",
+ " <td>False</td>\n",
+ " <td>avx</td>\n",
+ " <td>False</td>\n",
+ " <td>False</td>\n",
+ " <td>IVB</td>\n",
+ " <td>300</td>\n",
+ " <td>5.86</td>\n",
+ " <td>3003.26</td>\n",
+ " <td>3.26</td>\n",
+ " <td>5399.61</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>34</th>\n",
+ " <td>True</td>\n",
+ " <td>True</td>\n",
+ " <td>False</td>\n",
+ " <td>False</td>\n",
+ " <td>avx</td>\n",
+ " <td>False</td>\n",
+ " <td>False</td>\n",
+ " <td>IVB</td>\n",
+ " <td>300</td>\n",
+ " <td>5.79</td>\n",
+ " <td>3038.26</td>\n",
+ " <td>3.19</td>\n",
+ " <td>5515.53</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>8</th>\n",
+ " <td>False</td>\n",
+ " <td>True</td>\n",
+ " <td>True</td>\n",
+ " <td>False</td>\n",
+ " <td>avx</td>\n",
+ " <td>False</td>\n",
+ " <td>False</td>\n",
+ " <td>IVB</td>\n",
+ " <td>300</td>\n",
+ " <td>5.48</td>\n",
+ " <td>3213.26</td>\n",
+ " <td>3.13</td>\n",
+ " <td>5616.75</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>10</th>\n",
+ " <td>True</td>\n",
+ " <td>True</td>\n",
+ " <td>True</td>\n",
+ " <td>False</td>\n",
+ " <td>avx</td>\n",
+ " <td>False</td>\n",
+ " <td>False</td>\n",
+ " <td>IVB</td>\n",
+ " <td>300</td>\n",
+ " <td>5.37</td>\n",
+ " <td>3278.26</td>\n",
+ " <td>3.08</td>\n",
+ " <td>5708.88</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>20</th>\n",
+ " <td>False</td>\n",
+ " <td>False</td>\n",
+ " <td>True</td>\n",
+ " <td>False</td>\n",
+ " <td>avx</td>\n",
+ " <td>False</td>\n",
+ " <td>False</td>\n",
+ " <td>IVB</td>\n",
+ " <td>300</td>\n",
+ " <td>5.00</td>\n",
+ " <td>3523.26</td>\n",
+ " <td>3.06</td>\n",
+ " <td>5751.23</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>22</th>\n",
+ " <td>True</td>\n",
+ " <td>False</td>\n",
+ " <td>True</td>\n",
+ " <td>False</td>\n",
+ " <td>avx</td>\n",
+ " <td>False</td>\n",
+ " <td>False</td>\n",
+ " <td>IVB</td>\n",
+ " <td>300</td>\n",
+ " <td>4.88</td>\n",
+ " <td>3608.26</td>\n",
+ " <td>3.01</td>\n",
+ " <td>5841.80</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>24</th>\n",
+ " <td>False</td>\n",
+ " <td>True</td>\n",
+ " <td>False</td>\n",
+ " <td>False</td>\n",
+ " <td>avx</td>\n",
+ " <td>True</td>\n",
+ " <td>True</td>\n",
+ " <td>IVB</td>\n",
+ " <td>300</td>\n",
+ " <td>28.36</td>\n",
+ " <td>620.61</td>\n",
+ " <td>1.23</td>\n",
+ " <td>14325.50</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>26</th>\n",
+ " <td>True</td>\n",
+ " <td>True</td>\n",
+ " <td>False</td>\n",
+ " <td>False</td>\n",
+ " <td>avx</td>\n",
+ " <td>True</td>\n",
+ " <td>True</td>\n",
+ " <td>IVB</td>\n",
+ " <td>300</td>\n",
+ " <td>27.65</td>\n",
+ " <td>636.61</td>\n",
+ " <td>1.21</td>\n",
+ " <td>14558.24</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>36</th>\n",
+ " <td>False</td>\n",
+ " <td>False</td>\n",
+ " <td>False</td>\n",
+ " <td>False</td>\n",
+ " <td>avx</td>\n",
+ " <td>True</td>\n",
+ " <td>True</td>\n",
+ " <td>IVB</td>\n",
+ " <td>300</td>\n",
+ " <td>29.16</td>\n",
+ " <td>603.61</td>\n",
+ " <td>1.18</td>\n",
+ " <td>14920.08</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>38</th>\n",
+ " <td>True</td>\n",
+ " <td>False</td>\n",
+ " <td>False</td>\n",
+ " <td>False</td>\n",
+ " <td>avx</td>\n",
+ " <td>True</td>\n",
+ " <td>True</td>\n",
+ " <td>IVB</td>\n",
+ " <td>300</td>\n",
+ " <td>27.78</td>\n",
+ " <td>633.61</td>\n",
+ " <td>1.14</td>\n",
+ " <td>15382.18</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>12</th>\n",
+ " <td>False</td>\n",
+ " <td>False</td>\n",
+ " <td>True</td>\n",
+ " <td>False</td>\n",
+ " <td>avx</td>\n",
+ " <td>True</td>\n",
+ " <td>True</td>\n",
+ " <td>IVB</td>\n",
+ " <td>300</td>\n",
+ " <td>24.26</td>\n",
+ " <td>725.61</td>\n",
+ " <td>1.05</td>\n",
+ " <td>16789.00</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>2</th>\n",
+ " <td>True</td>\n",
+ " <td>True</td>\n",
+ " <td>True</td>\n",
+ " <td>False</td>\n",
+ " <td>avx</td>\n",
+ " <td>True</td>\n",
+ " <td>True</td>\n",
+ " <td>IVB</td>\n",
+ " <td>300</td>\n",
+ " <td>26.01</td>\n",
+ " <td>676.61</td>\n",
+ " <td>1.05</td>\n",
+ " <td>16772.57</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>0</th>\n",
+ " <td>False</td>\n",
+ " <td>True</td>\n",
+ " <td>True</td>\n",
+ " <td>False</td>\n",
+ " <td>avx</td>\n",
+ " <td>True</td>\n",
+ " <td>True</td>\n",
+ " <td>IVB</td>\n",
+ " <td>300</td>\n",
+ " <td>26.52</td>\n",
+ " <td>663.61</td>\n",
+ " <td>1.03</td>\n",
+ " <td>17024.65</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>14</th>\n",
+ " <td>True</td>\n",
+ " <td>False</td>\n",
+ " <td>True</td>\n",
+ " <td>False</td>\n",
+ " <td>avx</td>\n",
+ " <td>True</td>\n",
+ " <td>True</td>\n",
+ " <td>IVB</td>\n",
+ " <td>300</td>\n",
+ " <td>23.80</td>\n",
+ " <td>739.61</td>\n",
+ " <td>1.02</td>\n",
+ " <td>17315.88</td>\n",
+ " </tr>\n",
+ " </tbody>\n",
+ "</table>\n",
+ "</div>"
+ ],
+ "text/plain": [
+ " compressible cse_pdfs cse_global split vec_opt aligned nontemp arch \\\n",
+ "29 False True False True avx True False IVB \n",
+ "17 False False True True avx True False IVB \n",
+ "41 False False False True avx True False IVB \n",
+ "5 False True True True avx True False IVB \n",
+ "31 True True False True avx True False IVB \n",
+ "19 True False True True avx True False IVB \n",
+ "43 True False False True avx True False IVB \n",
+ "7 True True True True avx True False IVB \n",
+ "33 False True False True avx False False IVB \n",
+ "45 False False False True avx False False IVB \n",
+ "9 False True True True avx False False IVB \n",
+ "35 True True False True avx False False IVB \n",
+ "21 False False True True avx False False IVB \n",
+ "47 True False False True avx False False IVB \n",
+ "23 True False True True avx False False IVB \n",
+ "11 True True True True avx False False IVB \n",
+ "1 False True True True avx True True IVB \n",
+ "37 False False False True avx True True IVB \n",
+ "25 False True False True avx True True IVB \n",
+ "13 False False True True avx True True IVB \n",
+ "39 True False False True avx True True IVB \n",
+ "27 True True False True avx True True IVB \n",
+ "15 True False True True avx True True IVB \n",
+ "3 True True True True avx True True IVB \n",
+ "28 False True False False avx True False IVB \n",
+ "4 False True True False avx True False IVB \n",
+ "40 False False False False avx True False IVB \n",
+ "6 True True True False avx True False IVB \n",
+ "30 True True False False avx True False IVB \n",
+ "16 False False True False avx True False IVB \n",
+ "18 True False True False avx True False IVB \n",
+ "42 True False False False avx True False IVB \n",
+ "44 False False False False avx False False IVB \n",
+ "46 True False False False avx False False IVB \n",
+ "32 False True False False avx False False IVB \n",
+ "34 True True False False avx False False IVB \n",
+ "8 False True True False avx False False IVB \n",
+ "10 True True True False avx False False IVB \n",
+ "20 False False True False avx False False IVB \n",
+ "22 True False True False avx False False IVB \n",
+ "24 False True False False avx True True IVB \n",
+ "26 True True False False avx True True IVB \n",
+ "36 False False False False avx True True IVB \n",
+ "38 True False False False avx True True IVB \n",
+ "12 False False True False avx True True IVB \n",
+ "2 True True True False avx True True IVB \n",
+ "0 False True True False avx True True IVB \n",
+ "14 True False True False avx True True IVB \n",
+ "\n",
+ " dim_x ECM[MIt/s] ECM_cyCL[cy/CL] c_bench[MFLUPs] c_bench_cyCL[cy/CL] \n",
+ "29 300 12.24 1438.48 21.83 806.32 \n",
+ "17 300 12.24 1438.48 21.61 814.51 \n",
+ "41 300 12.41 1418.48 21.58 815.63 \n",
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+ "43 300 12.07 1458.48 20.90 841.94 \n",
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+ "21 300 2.52 6995.83 19.16 918.53 \n",
+ "47 300 2.75 6395.83 18.87 932.65 \n",
+ "23 300 2.53 6945.83 18.56 948.42 \n",
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+ "18 300 24.12 729.61 7.18 2451.55 \n",
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+ "46 300 5.64 3123.26 3.29 5345.65 \n",
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+ "34 300 5.79 3038.26 3.19 5515.53 \n",
+ "8 300 5.48 3213.26 3.13 5616.75 \n",
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+ "20 300 5.00 3523.26 3.06 5751.23 \n",
+ "22 300 4.88 3608.26 3.01 5841.80 \n",
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+ "38 300 27.78 633.61 1.14 15382.18 \n",
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+ "2 300 26.01 676.61 1.05 16772.57 \n",
+ "0 300 26.52 663.61 1.03 17024.65 \n",
+ "14 300 23.80 739.61 1.02 17315.88 "
+ ]
+ },
+ "execution_count": 100,
+ "metadata": {},
+ "output_type": "execute_result"
+ }
+ ],
+ "source": [
+ "# IVB\n",
+ "fig = plot_bar_graph(df_ivb2, cyCL=False)#, title='IVB results ({})'.format(compiler))\n",
+ "compare_df(df_ivb2, verbose=False)\n",
+ "#df_ivb2.query('nontemp==False and split==False').sort_values(by=['c_bench[MFLUPs]'], ascending=False)\n",
+ "df_ivb2.sort_values(by=['c_bench[MFLUPs]'], ascending=False)\n",
+ "#iplot(fig, image='svg', filename='lbmpy_ivb', image_width=1280)"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {},
+ "source": [
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+ "source": [
+ "# LBM IVB\n",
+ "# y either 'cyCL' or 'MFLUPS'\n",
+ "fig = px.bar(df_lbm_ivb, x='kernel', y='MFLUPS', barmode='group', title='IVB lbm-benchmark measurements')\n",
+ "fig.show()\n",
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+ " \n",
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+ " Plotly.purge(gd);\n",
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+ "if (notebookContainer) {{\n",
+ " x.observe(notebookContainer, {childList: true});\n",
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+ "// Listen for the clearing of the current output cell\n",
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+ "if (outputEl) {{\n",
+ " x.observe(outputEl, {childList: true});\n",
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+ "\n",
+ " })\n",
+ " };\n",
+ " });\n",
+ " </script>\n",
+ " </div>"
+ ]
+ },
+ "metadata": {},
+ "output_type": "display_data"
+ }
+ ],
+ "source": [
+ "# SKL single node strong scaling\n",
+ "# y = cyCL or MFLUPS\n",
+ "\n",
+ "fig = px.line(df_lbm_node_skl, x='threads', y='MFLUPS', color='kernel', title='SKL single node strong scaling')\n",
+ "fig.show()"
+ ]
+ },
+ {
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+ "source": [
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+ "\n",
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+ " </script>\n",
+ " </div>"
+ ]
+ },
+ "metadata": {},
+ "output_type": "display_data"
+ }
+ ],
+ "source": [
+ "# IVB single node strong scaling\n",
+ "# y = cyCL or MFLUPS\n",
+ "\n",
+ "fig = px.line(df_lbm_node_ivb, x='threads', y='MFLUPS', color='kernel', title='IVB single node strong scaling')\n",
+ "fig.show()"
+ ]
+ },
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+ " {\"responsive\": true}\n",
+ " ).then(function(){\n",
+ " \n",
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+ " Plotly.purge(gd);\n",
+ " observer.disconnect();\n",
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+ "}});\n",
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+ "// Listen for the removal of the full notebook cells\n",
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+ "if (notebookContainer) {{\n",
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+ "if (outputEl) {{\n",
+ " x.observe(outputEl, {childList: true});\n",
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+ " })\n",
+ " };\n",
+ " });\n",
+ " </script>\n",
+ " </div>"
+ ]
+ },
+ "metadata": {},
+ "output_type": "display_data"
+ }
+ ],
+ "source": [
+ "from plotly.offline import download_plotlyjs, init_notebook_mode, plot, iplot\n",
+ "\n",
+ "fig = px.line(bandwidth, x='size(KB)', y='bandwidth(MB/s)', color='arch', title='Copy (a[i] = b[i]) on SKL/HSW/IVB', log_x=True)\n",
+ "fig.show()\n",
+ "#fig.update_yaxes(range=[0, 250000])\n",
+ "#iplot(fig, image='svg', filename='copy', image_width=1280)"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {},
+ "source": [
+ "### Documented Data (from likwid-topology and kerncraft)\n",
+ "\n",
+ "| Cache| SKL |BDW | IVB |\n",
+ "|----|----------------------|----------------------|----------------|\n",
+ "| L1 | 20x**32 KiB** | 18x**32 KiB** | 10x**32 KiB** |\n",
+ "| L2 | 20x**1 MiB** | 18x**256 KiB** | 10x**256 KiB** |\n",
+ "| L3 | 2x14MiB = **28 MiB** | 2x11MiB = **22 MiB** | 1x **25 MiB** |\n",
+ "\n",
+ "| Bandwidth | SKL | BDW | IVB |\n",
+ "|----------------|-------|------|------|\n",
+ "| Single (GiB/s) | 12.16 | 9.06 | 9.65 |"
+ ]
+ },
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+ "source": [
+ "# Scaling of both RRZE and lbmpy benchmarks\n",
+ "# lbmpy legend code (F=False, T=True): compressible - cse_pdfs - cse_global - split - aligned - NT stores\n",
+ "# SKL(gcc/icc) : F/F F/T T/T T/F T/T F/T\n",
+ "# HSW(gcc/icc) : F/F T/T F/F T/T T/T T/T\n",
+ "# IVB(gcc/icc) : F/F F/T T/F T/T T/T F/F\n",
+ "\n",
+ "# y = MFLUPs, cyCL\n",
+ "fig = px.line(df_fastest_dim_combined, x='dim_x', y='MFLUPS', color='kernel',\n",
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+ " {\"responsive\": true}\n",
+ " ).then(function(){\n",
+ " \n",
+ "var gd = document.getElementById('20cd99c4-00a7-4ebd-ae0c-acc8fd95381a');\n",
+ "var x = new MutationObserver(function (mutations, observer) {{\n",
+ " var display = window.getComputedStyle(gd).display;\n",
+ " if (!display || display === 'none') {{\n",
+ " console.log([gd, 'removed!']);\n",
+ " Plotly.purge(gd);\n",
+ " observer.disconnect();\n",
+ " }}\n",
+ "}});\n",
+ "\n",
+ "// Listen for the removal of the full notebook cells\n",
+ "var notebookContainer = gd.closest('#notebook-container');\n",
+ "if (notebookContainer) {{\n",
+ " x.observe(notebookContainer, {childList: true});\n",
+ "}}\n",
+ "\n",
+ "// Listen for the clearing of the current output cell\n",
+ "var outputEl = gd.closest('.output');\n",
+ "if (outputEl) {{\n",
+ " x.observe(outputEl, {childList: true});\n",
+ "}}\n",
+ "\n",
+ " }).then(function(){\n",
+ " function downloadimage(format, height, width, filename) {var p = document.getElementById('20cd99c4-00a7-4ebd-ae0c-acc8fd95381a');Plotly.downloadImage(p, {format: format, height: height, width: width, filename: filename});};if(document.readyState == 'complete') {downloadimage('svg', 600, 1280, 'sockel_scaling');}\n",
+ " })\n",
+ " };\n",
+ " });\n",
+ " </script>\n",
+ " </div>"
+ ]
+ },
+ "metadata": {},
+ "output_type": "display_data"
+ }
+ ],
+ "source": [
+ "# Single node strong scaling\n",
+ "# y = cyCL or MFLUPS\n",
+ "compressed = df_fastest_threads_combined#[df_fastest_threads_combined['kernel'] != 'SKL_lbmpy(FTTFTT)']\n",
+ "compressed = compressed[compressed['threads'] <= 40]\n",
+ "\n",
+ "fig = px.line(compressed, x='threads', y='MFLUPS', color='kernel')#, title='Single node strong scaling')\n",
+ "fig.show()\n",
+ "#fig.update_yaxes(range=[0, 600])\n",
+ "iplot(fig, image='svg', filename='sockel_scaling', image_width=1280)"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": null,
+ "metadata": {},
+ "outputs": [],
+ "source": []
+ }
+ ],
+ "metadata": {
+ "kernelspec": {
+ "display_name": "Python 3",
+ "language": "python",
+ "name": "python3"
+ },
+ "language_info": {
+ "codemirror_mode": {
+ "name": "ipython",
+ "version": 3
+ },
+ "file_extension": ".py",
+ "mimetype": "text/x-python",
+ "name": "python",
+ "nbconvert_exporter": "python",
+ "pygments_lexer": "ipython3",
+ "version": "3.6.8"
+ }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 2
+}
diff --git a/benchmarks/results_copy.csv b/benchmarks/results_copy.csv
new file mode 100644
index 0000000000000000000000000000000000000000..56bf091261d875b28ec92781336737a8f2b9e662
--- /dev/null
+++ b/benchmarks/results_copy.csv
@@ -0,0 +1,214 @@
+size(KB),bandwidth(MB/s),arch
+5.6 , 122637.181 , SKL
+7.2 , 130287.758 , SKL
+9.2 , 121134.042 , SKL
+12.3 , 125219.530 , SKL
+15.9 , 126451.182 , SKL
+20.5 , 35914.807 , SKL
+27.1 , 32970.346 , SKL
+35.3 , 33353.212 , SKL
+45.6 , 33839.993 , SKL
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diff --git a/benchmarks/results_lbmBench_node.csv b/benchmarks/results_lbmBench_node.csv
new file mode 100644
index 0000000000000000000000000000000000000000..7f0553805ef55607d44cdd47b3c57418776de842
--- /dev/null
+++ b/benchmarks/results_lbmBench_node.csv
@@ -0,0 +1,161 @@
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diff --git a/benchmarks/results_lbmpy_node.csv b/benchmarks/results_lbmpy_node.csv
new file mode 100644
index 0000000000000000000000000000000000000000..cff0566f7b43d95904091b795f87fb4db0de16be
--- /dev/null
+++ b/benchmarks/results_lbmpy_node.csv
@@ -0,0 +1,81 @@
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diff --git a/benchmarks/results_node.csv b/benchmarks/results_node.csv
new file mode 100644
index 0000000000000000000000000000000000000000..ecf21971771171fb95d4b6584af65a9b8b176323
--- /dev/null
+++ b/benchmarks/results_node.csv
@@ -0,0 +1,201 @@
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diff --git a/pystencils/kerncraft_coupling/generate_benchmark.py b/pystencils/kerncraft_coupling/generate_benchmark.py
index ec89c59d268e09079043286f2fcfa84b07ce546f..10f05097530efcb60405f2d2fd83378418f2fc00 100644
--- a/pystencils/kerncraft_coupling/generate_benchmark.py
+++ b/pystencils/kerncraft_coupling/generate_benchmark.py
@@ -219,8 +219,8 @@ def generate_benchmark(ast, openmp=False, timing=False, main=True, kernel=True,
# Strip "#pragma omp parallel" from within kernel, because main function takes care of that
# when likwid and openmp are enabled
#if openmp:
- # if len(ast.body.args) > 0 and isinstance(ast.body.args[0], PragmaBlock):
- # ast.body.args[0].pragma_line = ''
+ #if len(ast.body.args) > 0 and isinstance(ast.body.args[0], PragmaBlock):
+ # ast.body.args[0].pragma_line = ''
if not main and kernel:
return include_template.render(
{