diff --git a/lbmpy/sparse/mapping.py b/lbmpy/sparse/mapping.py
index 0b6af0d4426414c6f79e31e53c8c151289280b2b..0fd63ce9636074e2acee1189d7b77485efcda079 100644
--- a/lbmpy/sparse/mapping.py
+++ b/lbmpy/sparse/mapping.py
@@ -31,15 +31,14 @@ class SparseLbMapper:
           flag_arr: integer array where each bit corresponds to a boundary or 'fluid'
     """
 
-    def __init__(self, stencil, domain_size, flag_arr, fluid_flag, no_slip_flag, ubb_flag):
+    def __init__(self, stencil, domain_size, flag_arr, fluid_flag, no_slip_flag, other_boundary_mask):
         self._flag_arr = flag_arr
         self._coordinate_arr = None
         self._sorter = None  # array of indices that sort _coordinate_arr
         self._dirty = True
         self.fluid_flag = fluid_flag
         self.no_slip_flag = no_slip_flag
-        self.ubb_flag = ubb_flag
-        self.boundary_mask = ubb_flag
+        self.other_boundary_mask = other_boundary_mask
         self._num_fluid_cells = None
         self.stencil = stencil
         self.domain_size = domain_size
@@ -108,7 +107,7 @@ class SparseLbMapper:
 
         # Add fluid cells
         coordinates_fluid = np.argwhere(np.bitwise_and(self._flag_arr, self.fluid_flag)).astype(np.uint32)
-        coordinates_boundary = np.argwhere(np.bitwise_and(self._flag_arr, self.boundary_mask)).astype(np.uint32)
+        coordinates_boundary = np.argwhere(np.bitwise_and(self._flag_arr, self.other_boundary_mask)).astype(np.uint32)
         self._num_fluid_cells = coordinates_fluid.shape[0]
 
         total_cells = len(coordinates_fluid) + len(coordinates_boundary)
@@ -126,7 +125,7 @@ class SparseLbMapper:
         stencil = self.stencil
         flag_arr = self.flag_array
         no_slip_flag = self.no_slip_flag
-        fluid_boundary_mask = self.ubb_flag | self.fluid_flag
+        fluid_boundary_mask = self.other_boundary_mask | self.fluid_flag
         result = []
         for direction_idx, direction in enumerate(stencil):
             #print("dir:", direction_idx)
@@ -134,8 +133,7 @@ class SparseLbMapper:
                 assert direction_idx == 0
                 continue
             for own_cell_idx, cell in enumerate(self.fluid_coordinates):
-                domain_size = (len(self.flag_array), len(self.flag_array[0]))
-                inv_neighbor_cell = np.array([cell_i - dir_i for cell_i, dir_i, ds_i in zip(cell, direction, self.domain_size)])
+                inv_neighbor_cell = np.array([cell_i - dir_i for cell_i, dir_i in zip(cell, direction)])
                 at_border = [n_cell_i == -1 or n_cell_i == ds_i for n_cell_i, ds_i in zip(inv_neighbor_cell, self.domain_size)]
                 if (True in at_border):
                     inv_neighbor_cell = list(cell)
@@ -146,11 +144,10 @@ class SparseLbMapper:
                 elif flag_arr[tuple(inv_neighbor_cell)] & no_slip_flag:  # no-slip before periodicity!
                     result.append(pdf_index(own_cell_idx, inverse_idx(stencil, direction_idx), len(self)))
                 else:
-                    #periodicity handler
-                    print("third")
+                    #This is where we end up if inv_neighbor_cell is not fluid/no_slip/at the border;
                     at_border = False
                     for i, x_i in enumerate(inv_neighbor_cell):
-                        if x_i == (ghost_layers - 1): #if inv_neighbor_cell NOT noslip/fuid & one coordinate 0
+                        if x_i == (ghost_layers - 1):
                             inv_neighbor_cell[i] += flag_arr.shape[i] - (2 * ghost_layers)
                             at_border = True
                         elif x_i == flag_arr.shape[i] - ghost_layers:
@@ -161,7 +158,7 @@ class SparseLbMapper:
                         neighbor_cell_idx = self.cell_idx(tuple(inv_neighbor_cell))
                         result.append(pdf_index(neighbor_cell_idx, direction_idx, len(self)))
                     else:
-                        raise ValueError("Could not find neighbor for {} direction {}".format(cell, direction))
+                        raise ValueError("Could not find neighbor for {} direction {} ({})".format(cell, direction, inv_neighbor_cell))
 
         index_array = np.array(result, dtype=np.uint32)
         index_arr = index_array.reshape([len(stencil) - 1, self.num_fluid_cells])
@@ -183,10 +180,21 @@ class SparseLbPeriodicityMapper:
         self.flag_arr = mapping._flag_arr
         self.fluid_flag = mapping.fluid_flag
         self.no_slip_flag = mapping.no_slip_flag
+        self._index_arrays = None
+        self._kernel = None
+        self._dirty = True
+        
+    
+    def __call__(self, f):
+        if self._dirty:
+            self.create_periodic_index_array()
+            self.create_kernel()
+        for i_a in self._index_arrays:
+            self._kernel(f=f, idx=i_a)
     
-    def __call__(self, f, idx_arrays, kernel):
-        for i_a in idx_arrays:
-            kernel(f=f, idx=i_a)
+    @property
+    def get_kernel(self):
+        return self._kernel
     
     def direction_index(self, direction):
         direction = tuple(direction)
@@ -219,7 +227,7 @@ class SparseLbPeriodicityMapper:
                 fluid_border_coord.append(cell)
         return fluid_border_coord
     
-    def create_periodic_index_array(self): 
+    def create_periodic_index_array(self):
         stencil = self.mapping.stencil
         fluid_border_coord = self.fluid_border()
         #print(fluid_border_coord)
@@ -237,10 +245,6 @@ class SparseLbPeriodicityMapper:
                     block_direction = self.direction_index([int(bp_i)*dir_i for dir_i, bp_i in zip(direction, bool_pos)])
                     result[direction_idx-1][block_direction-1].append(self.get_assignment(direction, cell))
                     #print("Goes into", direction_idx-1, block_direction-1)
-                #else: # This cell & direction is not periodical
-                #    inner_index_array.append(self.get_assignment(direction, cell))
-                    #print("Inner")
-        #result.append([inner_index_array])
         #flatten result:
         flattened_result = []
         for block in result:
@@ -248,6 +252,8 @@ class SparseLbPeriodicityMapper:
                 if (i_a):
                     flattened_result.append(np.array(i_a))
         flattened_result = np.array(flattened_result)
+        self._index_arrays = flattened_result
+        self._dirty = False
         return flattened_result
     
     def assignments(self):
@@ -255,8 +261,10 @@ class SparseLbPeriodicityMapper:
         read = self.pdf_field_sparse.absolute_access((self.index_field(1),), ())
         return [Assignment(self.DIR_SYMBOL, self.index_field(0)), Assignment(write, read)]
 
-    def get_kernel(self):
+    def create_kernel(self):
         kernel = create_kernel(self.assignments(), ghost_layers=0)
+        _ast = kernel
+        self._kernel = _ast.compile()
         return kernel
     
 class SparseLbBoundaryMapper:
diff --git a/lbmpy_tests/simple_sparse_shear_flow.ipynb b/lbmpy_tests/simple_sparse_shear_flow.ipynb
index d2b679b24186bc1c56ae73ec963e3b475a827ccf..d4f338cb3e173f9820c115264bfe5aeed8d7779e 100644
--- a/lbmpy_tests/simple_sparse_shear_flow.ipynb
+++ b/lbmpy_tests/simple_sparse_shear_flow.ipynb
@@ -22,7 +22,10 @@
     "from lbmpy.creationfunctions import create_lb_method\n",
     "from lbmpy.methods.abstractlbmethod import RelaxationInfo\n",
     "\n",
-    "from lbmpy.sparse import *"
+    "from lbmpy.sparse import *\n",
+    "\n",
+    "from IPython.core.interactiveshell import InteractiveShell\n",
+    "InteractiveShell.ast_node_interactivity = \"all\""
    ]
   },
   {
@@ -58,7 +61,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 5,
+   "execution_count": 15,
    "metadata": {
     "scrolled": false
    },
@@ -80,7 +83,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 6,
+   "execution_count": 16,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -90,7 +93,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 7,
+   "execution_count": 17,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -105,22 +108,22 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 8,
+   "execution_count": 18,
    "metadata": {},
    "outputs": [
     {
      "data": {
       "text/plain": [
-       "<matplotlib.quiver.Quiver at 0x7f141019cca0>"
+       "<matplotlib.quiver.Quiver at 0x7f208ed2ecd0>"
       ]
      },
-     "execution_count": 8,
+     "execution_count": 18,
      "metadata": {},
      "output_type": "execute_result"
     },
     {
      "data": {
-      "image/png": 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\n",
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\n",
       "text/plain": [
        "<Figure size 1152x432 with 1 Axes>"
       ]
@@ -137,7 +140,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 9,
+   "execution_count": 19,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -146,16 +149,34 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 10,
+   "execution_count": 24,
    "metadata": {},
    "outputs": [
     {
      "data": {
+      "image/png": "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\n",
+      "text/latex": [
+       "$\\displaystyle \\left( 7500, \\  2\\right)$"
+      ],
       "text/plain": [
-       "src(9): double[152,52]"
+       "(7500, 2)"
       ]
      },
-     "execution_count": 10,
+     "execution_count": 24,
+     "metadata": {},
+     "output_type": "execute_result"
+    },
+    {
+     "data": {
+      "image/png": "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\n",
+      "text/latex": [
+       "$\\displaystyle \\left( 152, \\  52, \\  9\\right)$"
+      ],
+      "text/plain": [
+       "(152, 52, 9)"
+      ]
+     },
+     "execution_count": 24,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -176,14 +197,30 @@
     "pdf_arr_tmp = np.empty_like(pdf_arr)\n",
     "\n",
     "vel_arr = np.ones([mapping.num_fluid_cells, method.dim], order='f')\n",
-    "src"
+    "dh.cpu_arrays[src.name].shape"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 11,
+   "execution_count": 23,
    "metadata": {},
-   "outputs": [],
+   "outputs": [
+    {
+     "data": {
+      "text/latex": [
+       "$\\displaystyle \\left[\\begin{matrix}{{velField}_{(0,0)}^{0}}\\\\{{velField}_{(0,0)}^{1}}\\end{matrix}\\right]$"
+      ],
+      "text/plain": [
+       "⎡velField_C__0⎤\n",
+       "⎢             ⎥\n",
+       "⎣velField_C__1⎦"
+      ]
+     },
+     "execution_count": 23,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
    "source": [
     "pdf_field, pdf_field_tmp, vel_field = ps.fields(\"f(9), d(9), u(2): [1D]\",\n",
     "                                                #f=pdf_arr[:mapping.num_fluid_cells],\n",
@@ -226,7 +263,20 @@
    "cell_type": "code",
    "execution_count": 13,
    "metadata": {},
-   "outputs": [],
+   "outputs": [
+    {
+     "ename": "AttributeError",
+     "evalue": "'SparseLbPeriodicityMapper' object has no attribute 'kernel'",
+     "output_type": "error",
+     "traceback": [
+      "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
+      "\u001b[0;31mAttributeError\u001b[0m                            Traceback (most recent call last)",
+      "\u001b[0;32m<ipython-input-13-28172ee98259>\u001b[0m in \u001b[0;36m<module>\u001b[0;34m\u001b[0m\n\u001b[1;32m     11\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m     12\u001b[0m \u001b[0mperiodicity_mapper\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mSparseLbPeriodicityMapper\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mmapping\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mdh\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mpdf_field\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m---> 13\u001b[0;31m \u001b[0mperiodicity_ast\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mperiodicity_mapper\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mget_kernel\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m     14\u001b[0m \u001b[0mperiodicity_kernel\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mperiodicity_ast\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mcompile\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m     15\u001b[0m \u001b[0mperiodicity_index_arrays\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mperiodicity_mapper\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mcreate_periodic_index_array\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
+      "\u001b[0;32m~/Studium/Ba/lbmpy/lbmpy/sparse/mapping.py\u001b[0m in \u001b[0;36mget_kernel\u001b[0;34m(self)\u001b[0m\n\u001b[1;32m    197\u001b[0m     \u001b[0;34m@\u001b[0m\u001b[0mproperty\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    198\u001b[0m     \u001b[0;32mdef\u001b[0m \u001b[0mget_kernel\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mself\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 199\u001b[0;31m         \u001b[0;32mreturn\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mkernel\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m    200\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    201\u001b[0m     \u001b[0;32mdef\u001b[0m \u001b[0mdirection_index\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mself\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mdirection\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
+      "\u001b[0;31mAttributeError\u001b[0m: 'SparseLbPeriodicityMapper' object has no attribute 'kernel'"
+     ]
+    }
+   ],
    "source": [
     "update = create_lb_update_rule(lb_method=method,\n",
     "                               output={'density': denstiy,\n",
@@ -256,7 +306,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 14,
+   "execution_count": null,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -266,7 +316,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 15,
+   "execution_count": null,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -280,7 +330,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 16,
+   "execution_count": null,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -299,26 +349,9 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 17,
+   "execution_count": null,
    "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/html": [
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-       " <source 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type=\"video/mp4\">\n",
-       " Your browser does not support the video tag.\n",
-       "</video>"
-      ],
-      "text/plain": [
-       "<IPython.core.display.HTML object>"
-      ]
-     },
-     "execution_count": 17,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
+   "outputs": [],
    "source": [
     "def run():\n",
     "    result = dh.gather_array('velField')\n",
diff --git a/lbmpy_tests/test_sparse_lbm.ipynb b/lbmpy_tests/test_sparse_lbm.ipynb
index 3d079d22ed90affe530954d4935f8bd3a0f77072..2f8aa80ad099beef3169eb41ddde375ee26085c1 100644
--- a/lbmpy_tests/test_sparse_lbm.ipynb
+++ b/lbmpy_tests/test_sparse_lbm.ipynb
@@ -48,7 +48,7 @@
    "metadata": {},
    "outputs": [],
    "source": [
-    "domain_size = (20, 20)\n",
+    "domain_size = (100, 30)\n",
     "omega = 1.8\n",
     "target = 'cpu'\n",
     "\n",
@@ -88,6 +88,45 @@
    "cell_type": "code",
    "execution_count": 5,
    "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "<matplotlib.quiver.Quiver at 0x7f2adc051bb0>"
+      ]
+     },
+     "execution_count": 5,
+     "metadata": {},
+     "output_type": "execute_result"
+    },
+    {
+     "data": {
+      "image/png": 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\n",
+      "text/plain": [
+       "<Figure size 1152x432 with 1 Axes>"
+      ]
+     },
+     "metadata": {
+      "needs_background": "light"
+     },
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "velocity_magnitude = 0.05\n",
+    "shape = dh.cpu_arrays[velField.name].shape\n",
+    "\n",
+    "dh.cpu_arrays[velField.name][:, :, 0] = velocity_magnitude\n",
+    "dh.cpu_arrays[velField.name][:, shape[1]//3 : shape[1]//3*2, 0]= -velocity_magnitude\n",
+    "\n",
+    "dh.cpu_arrays[velField.name][:, :, 1] = 0.1 * velocity_magnitude * np.random.rand(shape[0], shape[1])\n",
+    "plt.vector_field(dh.cpu_arrays[velField.name], step=4)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 6,
+   "metadata": {},
    "outputs": [
     {
      "data": {
@@ -108,7 +147,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 6,
+   "execution_count": 7,
    "metadata": {},
    "outputs": [
     {
@@ -121,7 +160,7 @@
        "(1, -1)"
       ]
      },
-     "execution_count": 6,
+     "execution_count": 7,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -132,12 +171,12 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 7,
+   "execution_count": 8,
    "metadata": {},
    "outputs": [
     {
      "data": {
-      "image/png": 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\n",
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\n",
       "text/plain": [
        "<Figure size 1152x432 with 2 Axes>"
       ]
@@ -164,11 +203,11 @@
     "    flag_arr[-1, :] = 0   \n",
     "    flag_arr[:, 0] = flags[noslip]\n",
     "    flag_arr[:, -1] = flags[noslip]\n",
-    "else:\n",
-    "    flag_arr[:, -1] = flags[ubb]\n",
-    "    flag_arr[:, 0] = flags[noslip]\n",
-    "    flag_arr[0, :] = flags[noslip]\n",
-    "    flag_arr[-1, :] = flags[noslip]\n",
+    "#else:\n",
+    "#    flag_arr[:, 0] = flags[noslip]\n",
+    "#    flag_arr[0, :] = flags[noslip]\n",
+    "#    flag_arr[-1, :] = flags[noslip]\n",
+    "#    flag_arr[:, -1] = flags[noslip]\n",
     "\n",
     "plt.scalar_field(flag_arr)\n",
     "plt.colorbar();"
@@ -183,11 +222,28 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 8,
+   "execution_count": 41,
    "metadata": {},
-   "outputs": [],
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "array([[1., 1.],\n",
+       "       [1., 1.],\n",
+       "       [1., 1.],\n",
+       "       ...,\n",
+       "       [1., 1.],\n",
+       "       [1., 1.],\n",
+       "       [1., 1.]])"
+      ]
+     },
+     "execution_count": 41,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
    "source": [
-    "mapping = SparseLbMapper(method.stencil, domain_size, flag_arr, flags['fluid'], flags[noslip], flags[ubb])\n",
+    "mapping = SparseLbMapper(method.stencil, domain_size, flag_arr, flags['fluid'], flags[noslip], 0)\n",
     "index_arr = mapping.create_index_array(ghost_layers)\n",
     "\n",
     "# Arrays\n",
@@ -197,12 +253,12 @@
     "pdf_arr = np.empty((len(mapping), len(method.stencil)), order='f')\n",
     "pdf_arr_tmp = np.empty_like(pdf_arr)\n",
     "\n",
-    "vel_arr = np.ones([mapping.num_fluid_cells, method.dim], order='f')"
+    "vel_arr = np.ones([mapping.num_fluid_cells, method.dim], order='f')\n"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 9,
+   "execution_count": 10,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -224,12 +280,84 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 10,
+   "execution_count": 44,
    "metadata": {},
-   "outputs": [],
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "[[ 0.00000000e+00 -1.04083409e-17]\n",
+      " [ 0.00000000e+00 -1.04083409e-17]\n",
+      " [ 0.00000000e+00 -1.04083409e-17]\n",
+      " ...\n",
+      " [ 0.00000000e+00 -1.04083409e-17]\n",
+      " [ 0.00000000e+00 -1.04083409e-17]\n",
+      " [ 0.00000000e+00 -1.04083409e-17]]\n"
+     ]
+    },
+    {
+     "data": {
+      "text/plain": [
+       "array([[[ 0.00000000e+00, -1.04083409e-17],\n",
+       "        [ 0.00000000e+00, -1.04083409e-17],\n",
+       "        [ 0.00000000e+00, -1.04083409e-17],\n",
+       "        ...,\n",
+       "        [ 0.00000000e+00, -1.04083409e-17],\n",
+       "        [ 0.00000000e+00, -1.04083409e-17],\n",
+       "        [ 0.00000000e+00, -1.04083409e-17]],\n",
+       "\n",
+       "       [[ 0.00000000e+00, -1.04083409e-17],\n",
+       "        [ 0.00000000e+00, -1.04083409e-17],\n",
+       "        [ 0.00000000e+00, -1.04083409e-17],\n",
+       "        ...,\n",
+       "        [ 0.00000000e+00, -1.04083409e-17],\n",
+       "        [ 0.00000000e+00, -1.04083409e-17],\n",
+       "        [ 0.00000000e+00, -1.04083409e-17]],\n",
+       "\n",
+       "       [[ 0.00000000e+00, -1.04083409e-17],\n",
+       "        [ 0.00000000e+00, -1.04083409e-17],\n",
+       "        [ 0.00000000e+00, -1.04083409e-17],\n",
+       "        ...,\n",
+       "        [ 0.00000000e+00, -1.04083409e-17],\n",
+       "        [ 0.00000000e+00, -1.04083409e-17],\n",
+       "        [ 0.00000000e+00, -1.04083409e-17]],\n",
+       "\n",
+       "       ...,\n",
+       "\n",
+       "       [[ 0.00000000e+00, -1.04083409e-17],\n",
+       "        [ 0.00000000e+00, -1.04083409e-17],\n",
+       "        [ 0.00000000e+00, -1.04083409e-17],\n",
+       "        ...,\n",
+       "        [ 0.00000000e+00, -1.04083409e-17],\n",
+       "        [ 0.00000000e+00, -1.04083409e-17],\n",
+       "        [ 0.00000000e+00, -1.04083409e-17]],\n",
+       "\n",
+       "       [[ 0.00000000e+00, -1.04083409e-17],\n",
+       "        [ 0.00000000e+00, -1.04083409e-17],\n",
+       "        [ 0.00000000e+00, -1.04083409e-17],\n",
+       "        ...,\n",
+       "        [ 0.00000000e+00, -1.04083409e-17],\n",
+       "        [ 0.00000000e+00, -1.04083409e-17],\n",
+       "        [ 0.00000000e+00, -1.04083409e-17]],\n",
+       "\n",
+       "       [[ 0.00000000e+00, -1.04083409e-17],\n",
+       "        [ 0.00000000e+00, -1.04083409e-17],\n",
+       "        [ 0.00000000e+00, -1.04083409e-17],\n",
+       "        ...,\n",
+       "        [ 0.00000000e+00, -1.04083409e-17],\n",
+       "        [ 0.00000000e+00, -1.04083409e-17],\n",
+       "        [ 0.00000000e+00, -1.04083409e-17]]])"
+      ]
+     },
+     "execution_count": 44,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
    "source": [
     "cqc = method.conserved_quantity_computation\n",
-    "inp_eqs = cqc.equilibrium_input_equations_from_init_values()\n",
+    "inp_eqs = cqc.equilibrium_input_equations_from_init_values() #init\n",
     "setter_eqs = method.get_equilibrium(conserved_quantity_equations=inp_eqs)\n",
     "setter_eqs = setter_eqs.new_with_substitutions({sym: pdf_field(i)\n",
     "                                                for i, sym in enumerate(method.post_collision_pdf_symbols)})\n",
@@ -251,10 +379,14 @@
     "    full_velocity_arr.fill(np.nan)\n",
     "    arr = fluid_cell_arr[:mapping.num_fluid_cells]\n",
     "    full_velocity_arr[arr['x'], arr['y']] = vel_arr\n",
+    "    #print(full_velocity_arr)\n",
+    "    print(vel_arr)\n",
+    "\n",
     "    if ghost_layers:\n",
     "        return full_velocity_arr\n",
     "    else:\n",
-    "        return full_velocity_arr[1:-1, 1:-1]"
+    "        return full_velocity_arr[1:-1, 1:-1]\n",
+    "get_velocity()"
    ]
   },
   {
@@ -266,7 +398,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 11,
+   "execution_count": 12,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -286,7 +418,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 12,
+   "execution_count": 13,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -304,7 +436,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 13,
+   "execution_count": 14,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -326,12 +458,9 @@
     "        ubb_kernel(f=pdf_arr[:mapping.num_fluid_cells], idx=ubb_idx_arr)\n",
     "        \n",
     "    periodicity_mapper = SparseLbPeriodicityMapper(mapping, dh, pdf_field)\n",
-    "    periodicity_ast = periodicity_mapper.get_kernel()\n",
-    "    periodicity_kernel = periodicity_ast.compile()\n",
-    "    periodicity_index_arrays = periodicity_mapper.create_periodic_index_array()\n",
     "\n",
     "    def handle_periodicity():\n",
-    "        periodicity_mapper(pdf_arr, periodicity_index_arrays, periodicity_kernel)\n",
+    "        periodicity_mapper(pdf_arr)\n",
     "else:\n",
     "    def handle_ubb():\n",
     "        pass\n",
@@ -340,23 +469,6 @@
     "        pass"
    ]
   },
-  {
-   "cell_type": "code",
-   "execution_count": 14,
-   "metadata": {},
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "[]\n"
-     ]
-    }
-   ],
-   "source": [
-    "print(periodicity_index_arrays)"
-   ]
-  },
   {
    "cell_type": "markdown",
    "metadata": {},
@@ -372,6 +484,7 @@
    "source": [
     "def time_step():\n",
     "    global pdf_arr, pdf_arr_tmp, index_arr\n",
+    "    handle_periodicity()\n",
     "    if target == 'gpu':\n",
     "        gpu_pdf_arr = gpuarray.to_gpu(pdf_arr)\n",
     "        gpu_pdf_arr_tmp = gpuarray.to_gpu(pdf_arr_tmp)\n",
@@ -389,42 +502,33 @@
     "                              d=pdf_arr_tmp[:mapping.num_fluid_cells], \n",
     "                              idx=index_arr)\n",
     "    pdf_arr_tmp, pdf_arr = pdf_arr, pdf_arr_tmp\n",
-    "    \n",
     "    handle_ubb()\n",
     "\n",
-    "def run(steps=100):\n",
+    "def timeloop(steps=100):\n",
     "    for t in range(steps):\n",
     "        time_step()\n",
-    "    return get_velocity(ghost_layers=False)"
+    "    return get_velocity(ghost_layers=False)\n",
+    "\n"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 19,
+   "execution_count": 27,
    "metadata": {},
    "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "1\n",
-      "2\n",
-      "3\n"
-     ]
-    },
     {
      "data": {
       "text/plain": [
-       "<matplotlib.quiver.Quiver at 0x7f987b5494f0>"
+       "<matplotlib.quiver.Quiver at 0x7f2ad0622550>"
       ]
      },
-     "execution_count": 19,
+     "execution_count": 27,
      "metadata": {},
      "output_type": "execute_result"
     },
     {
      "data": {
-      "image/png": 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+      "image/png": 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\n",
       "text/plain": [
        "<Figure size 1152x432 with 1 Axes>"
       ]
@@ -436,13 +540,14 @@
     }
    ],
    "source": [
-    "timesteps = 100\n",
-    "print(\"1\")\n",
+    "timesteps = 2\n",
     "init()\n",
-    "print(\"2\")\n",
-    "result = run(timesteps) # get_velocity(ghost_layers=False) #\n",
-    "print(\"3\")\n",
-    "plt.vector_field(result, step=1)"
+    "#animation = plt.vector_field_magnitude_animation(timeloop, frames=400, rescale=True)\n",
+    "#set_display_mode('video')\n",
+    "#res = display_animation(animation)\n",
+    "#res\n",
+    "result = timeloop(timesteps) # get_velocity(ghost_layers=False) #\n",
+    "plt.vector_field(result, step=4)"
    ]
   },
   {
@@ -473,7 +578,7 @@
    "outputs": [
     {
      "ename": "AssertionError",
-     "evalue": "\nArrays are not almost equal to 7 decimals\n\n(shapes (20, 20, 2), (18, 18, 2) mismatch)\n x: MaskedArray([[[-2.1072287e-06,  3.2065898e-06],\n              [-5.4380105e-06,  2.1508323e-05],\n              [ 3.6419993e-06,  2.8800305e-05],...\n y: array([[[nan, nan],\n        [nan, nan],\n        [nan, nan],...",
+     "evalue": "\nArrays are not almost equal to 7 decimals\n\n(shapes (100, 30, 2), (98, 28, 2) mismatch)\n x: MaskedArray([[[ 0.0000000e+00,  0.0000000e+00],\n              [ 0.0000000e+00,  0.0000000e+00],\n              [ 0.0000000e+00,  0.0000000e+00],...\n y: array([[[-2.7755576e-17, -5.8980598e-17],\n        [-2.7755576e-17, -5.8980598e-17],\n        [-2.7755576e-17, -5.8980598e-17],...",
      "output_type": "error",
      "traceback": [
       "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
@@ -482,7 +587,7 @@
       "\u001b[0;32m/usr/lib/python3/dist-packages/numpy/testing/_private/utils.py\u001b[0m in \u001b[0;36massert_almost_equal\u001b[0;34m(actual, desired, decimal, err_msg, verbose)\u001b[0m\n\u001b[1;32m    582\u001b[0m     \u001b[0;32mif\u001b[0m \u001b[0misinstance\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mactual\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m(\u001b[0m\u001b[0mndarray\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mtuple\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mlist\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;31m \u001b[0m\u001b[0;31m\\\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    583\u001b[0m             \u001b[0;32mor\u001b[0m \u001b[0misinstance\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mdesired\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m(\u001b[0m\u001b[0mndarray\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mtuple\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mlist\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 584\u001b[0;31m         \u001b[0;32mreturn\u001b[0m \u001b[0massert_array_almost_equal\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mactual\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mdesired\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mdecimal\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0merr_msg\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m    585\u001b[0m     \u001b[0;32mtry\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    586\u001b[0m         \u001b[0;31m# If one of desired/actual is not finite, handle it specially here:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
       "\u001b[0;32m/usr/lib/python3/dist-packages/numpy/testing/_private/utils.py\u001b[0m in \u001b[0;36massert_array_almost_equal\u001b[0;34m(x, y, decimal, err_msg, verbose)\u001b[0m\n\u001b[1;32m   1025\u001b[0m         \u001b[0;32mreturn\u001b[0m \u001b[0mz\u001b[0m \u001b[0;34m<\u001b[0m \u001b[0;36m1.5\u001b[0m \u001b[0;34m*\u001b[0m \u001b[0;36m10.0\u001b[0m\u001b[0;34m**\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m-\u001b[0m\u001b[0mdecimal\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m   1026\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m-> 1027\u001b[0;31m     assert_array_compare(compare, x, y, err_msg=err_msg, verbose=verbose,\n\u001b[0m\u001b[1;32m   1028\u001b[0m              \u001b[0mheader\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m'Arrays are not almost equal to %d decimals'\u001b[0m \u001b[0;34m%\u001b[0m \u001b[0mdecimal\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m   1029\u001b[0m              precision=decimal)\n",
       "\u001b[0;32m/usr/lib/python3/dist-packages/numpy/testing/_private/utils.py\u001b[0m in \u001b[0;36massert_array_compare\u001b[0;34m(comparison, x, y, err_msg, verbose, header, precision, equal_nan, equal_inf)\u001b[0m\n\u001b[1;32m    762\u001b[0m                                 \u001b[0mverbose\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0mverbose\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mheader\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0mheader\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    763\u001b[0m                                 names=('x', 'y'), precision=precision)\n\u001b[0;32m--> 764\u001b[0;31m             \u001b[0;32mraise\u001b[0m \u001b[0mAssertionError\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mmsg\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m    765\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    766\u001b[0m         \u001b[0mflagged\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mbool_\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;32mFalse\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
-      "\u001b[0;31mAssertionError\u001b[0m: \nArrays are not almost equal to 7 decimals\n\n(shapes (20, 20, 2), (18, 18, 2) mismatch)\n x: MaskedArray([[[-2.1072287e-06,  3.2065898e-06],\n              [-5.4380105e-06,  2.1508323e-05],\n              [ 3.6419993e-06,  2.8800305e-05],...\n y: array([[[nan, nan],\n        [nan, nan],\n        [nan, nan],..."
+      "\u001b[0;31mAssertionError\u001b[0m: \nArrays are not almost equal to 7 decimals\n\n(shapes (100, 30, 2), (98, 28, 2) mismatch)\n x: MaskedArray([[[ 0.0000000e+00,  0.0000000e+00],\n              [ 0.0000000e+00,  0.0000000e+00],\n              [ 0.0000000e+00,  0.0000000e+00],...\n y: array([[[-2.7755576e-17, -5.8980598e-17],\n        [-2.7755576e-17, -5.8980598e-17],\n        [-2.7755576e-17, -5.8980598e-17],..."
      ]
     }
    ],
diff --git a/lbmpy_tests/test_sparse_lbm_peridocity_only.ipynb b/lbmpy_tests/test_sparse_lbm_peridocity_only.ipynb
index 722abb865c3ce3c7d14a09932e2a5cdc48502e91..7fbc6e6349892a87dff9595be7781b7a0e77e44a 100644
--- a/lbmpy_tests/test_sparse_lbm_peridocity_only.ipynb
+++ b/lbmpy_tests/test_sparse_lbm_peridocity_only.ipynb
@@ -92,7 +92,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 7,
+   "execution_count": 6,
    "metadata": {
     "scrolled": true
    },
@@ -116,11 +116,11 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 8,
+   "execution_count": 7,
    "metadata": {},
    "outputs": [],
    "source": [
-    "mapping = SparseLbMapper(stencil, domain_size, flag_arr, flags['fluid'], flags[noslip], 4) #Warum müssen (dürfen!) hier Nullen stehen?\n",
+    "mapping = SparseLbMapper(stencil, domain_size, flag_arr, flags['fluid'], flags[noslip], 0) #Warum müssen (dürfen!) hier Nullen stehen?\n",
     "index_arr = mapping.create_index_array(ghost_layers)\n",
     "\n",
     "# Arrays\n",
@@ -135,7 +135,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 9,
+   "execution_count": 8,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -150,7 +150,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 10,
+   "execution_count": 9,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -161,22 +161,19 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 14,
+   "execution_count": 10,
    "metadata": {},
    "outputs": [],
    "source": [
     "periodicity_mapper = SparseLbPeriodicityMapper(mapping, dh, pdf_field)\n",
-    "periodicity_ast = periodicity_mapper.get_kernel()\n",
-    "periodicity_kernel = periodicity_ast.compile()\n",
-    "periodicity_index_arrays = periodicity_mapper.create_periodic_index_array()\n",
     "\n",
     "def handle_periodicity():\n",
-    "    periodicity_mapper(pdf_arr, periodicity_index_arrays, periodicity_kernel)\n"
+    "    periodicity_mapper(pdf_arr)\n"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 16,
+   "execution_count": 11,
    "metadata": {},
    "outputs": [
     {
@@ -196,7 +193,7 @@
        "       [ 99., 100., 101., 102., 103., 104., 105., 106., 107.]])"
       ]
      },
-     "execution_count": 16,
+     "execution_count": 11,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -207,7 +204,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 17,
+   "execution_count": 12,
    "metadata": {},
    "outputs": [
     {
@@ -227,7 +224,7 @@
        "       [ 99., 100.,  83.,  21., 103.,  14., 105.,   7.,  62.]])"
       ]
      },
-     "execution_count": 17,
+     "execution_count": 12,
      "metadata": {},
      "output_type": "execute_result"
     }