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Andreas Klöckner
pyopencl
Commits
32f87768
Commit
32f87768
authored
3 years ago
by
Isuru Fernando
Committed by
Andreas Klöckner
3 years ago
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document intel-opencl-rt and update opencl docs
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doc/misc.rst
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32f87768
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@@ -50,14 +50,13 @@ On Linux or macOS, type::
conda install pocl
to install a CPU-based OpenCL driver. On Windows, you may install e.g.
the `CPU OpenCL driver from Intel <https://software.intel.com/en-us/articles/opencl-drivers#latest_CPU_runtime>`_.
to install a CPU-based OpenCL driver.
On macOS, pocl can offer a marked robustness (and, sometimes, performance)
improvement over the OpenCL drivers built into the operating system.
On Linux and
macOS
, you can use
Oclgrind to detect memory access errors
::
On Linux and
Windows
, you can use
Intel's CPU OpenCL runtime
::
conda install
oclgrind
conda install
intel-opencl-rt
On Linux Intel Broadwell or newer processors with an Intel graphics card, you
can use NEO::
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@@ -69,6 +68,10 @@ can use Beignet::
conda install beignet
On Linux, Windows and macOS, you can use Oclgrind to detect memory access errors::
conda install oclgrind
You are now ready to run code based on PyOpenCL, such as the `code
examples <https://github.com/inducer/pyopencl/tree/master/examples>`_.
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@@ -118,10 +121,17 @@ If you are looking for more information, see `ocl-icd
"ICD loader" used by PyOpenCL when installed from Conda Forge on Linux.
It represents the code behind :file:`libOpenCL.so`.
On macOS, the packaging of PyOpenCL for Conda Forge relies on the
On macOS, by using the command::
conda install ocl_icd_wrapper_apple
will make sure that the Apple provided CPU and GPU implementations are available.
On Windows, the packaging of PyOpenCL for Conda Forge relies on the
`Khronos ICD Loader <https://github.com/KhronosGroup/OpenCL-ICD-Loader>`_,
and it is packaged so that the OpenCL drivers built into the operating system
are automatically available, in addition to other ICDs installed manually.
and it is packaged so that the OpenCL drivers that are registered in the OS
using registry keys are automatically available.
Installing from PyPI with Linux wheels
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