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Commit 4716c97a authored by Frederik Hennig's avatar Frederik Hennig
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final adjustments to the docs

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......@@ -41,7 +41,7 @@ This requires a working installation of [Cupy](https://cupy.dev).
Please refer to the cupy's [installation manual](https://docs.cupy.dev/en/stable/install.html)
for details about installing cupy.
You can also use Cupy together with AMD ROCm for AMD graphics cards,
You can also use Cupy together with AMD ROCm and HIP for AMD graphics cards,
but the setup steps are a bit more complicated - you might have to build cupy from source.
The Cupy documentation covers this in their [installation guide for Cupy on ROCm][cupy-rocm].
......
......@@ -39,7 +39,7 @@ which operates much in the same way that [NumPy][numpy] works on CPU arrays.
Cupy and NumPy expose nearly the same APIs for array operations;
the difference being that CuPy allocates all its arrays on the GPU
and performs its operations as CUDA kernels.
Also, CuPy exposes a just-in-time-compiler for GPU kernels, which internally calls [nvrtc].
Also, CuPy exposes a just-in-time-compiler for GPU kernels.
In pystencils, we use CuPy both to compile and provide executable kernels on-demand from within Python code,
and to allocate and manage the data these kernels can be executed on.
......@@ -271,5 +271,4 @@ only a part of the triangle is being processed.
[cupy]: https://cupy.dev "CuPy Homepage"
[numpy]: https://numpy.org "NumPy Homepage"
[nvrtc]: https://docs.nvidia.com/cuda/nvrtc/index.html "NVIDIA Runtime Compilation Library"
[cupy-docs]: https://docs.cupy.dev/en/stable/overview.html "CuPy Documentation"
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