PoCL is being developed towards an efficient implementation of the OpenCL standard which can be easily adapted for new targets.
This section contains instructions for building PoCL in its default configuration and a subset of driver backends. You can find the full build instructions including a list of available options in the user guide.
In order to build PoCL, you need the following support libraries and tools:
- Latest released version of LLVM & Clang
- development files for LLVM & Clang + their transitive dependencies
(e.g.
libclang-dev
,libclang-cpp-dev
,libllvm-dev
,zlib1g-dev
,libtinfo-dev
...) - CMake 3.9 or newer
- GNU make or ninja
- pkg-config
- pthread (should be installed by default)
- hwloc v1.0 or newer (e.g.
libhwloc-dev
) - optional - python3 (for support of LLVM bitcode with SPIR target; optional but enabled by default)
- llvm-spirv (version-compatible with LLVM) and spirv-tools (optional; required for SPIR-V support in CPU / CUDA; Vulkan driver supports SPIR-V through clspv)
On Ubuntu or Debian based distros you can install the relevant packages with
export LLVM_VERSION=<major LLVM version>
apt install -y python3-dev libpython3-dev build-essential ocl-icd-libopencl1 \
cmake git pkg-config libclang-${LLVM_VERSION}-dev clang-${LLVM_VERSION} \
llvm-${LLVM_VERSION} make ninja-build ocl-icd-libopencl1 ocl-icd-dev \
ocl-icd-opencl-dev libhwloc-dev zlib1g zlib1g-dev clinfo dialog apt-utils \
libxml2-dev libclang-cpp${LLVM_VERSION}-dev libclang-cpp${LLVM_VERSION} \
llvm-${LLVM_VERSION}-dev
If your distro does not package the version of LLVM you wish to build against you might want to set up the upstream LLVM package repository.
If LLVM is linked to PoCL statically (-DSTATIC_LLVM=ON cmake option), then
the libpolly-${LLVM_VERSION}-dev libzstd-dev
packages might be also needed
(at least on Ubuntu 22.04 with packages from apt.llvm.org).
Building PoCL follows the usual CMake workflow, i.e.:
cd <directory-with-pocl-sources>
mkdir build
cd build
cmake ..
make
# and optionally
make install
PoCL aims to support the latest LLVM version at the time of PoCL release, plus the previous LLVM version. All older LLVM versions are supported on a "best effort" basis; there might not be build bots continuously testing the code base nor anyone fixing their possible breakage.
If you want PoCL built with ICD and OpenCL 3.0 support at platform level, you will need sufficiently new ocl-icd (2.3.x). For Ubuntu, it can be installed' from this PPA: https://launchpad.net/~ocl-icd/+archive/ubuntu/ppa Additionally, if you want the CPU device to report as 3.0 OpenCL you will need LLVM 14 or newer.
PoCL can be used to provide OpenCL driver on several architectures where the hardware manufacturer does not ship them like Nvidia Tegra (ARM) or IBM Power servers. On PPC64le servers, there are specific instructions to handle the build of PoCL in README.PPC64le. See also PoCL with CUDA driver section for prebuilt binaries.
Windows support has been unmaintained for a long time and building on Windows
may or may not work. There are old instructions for building with Visual Studio
in README.Windows but with the builtin CMake support of more
recent Visual Studio versions (2019+) it might be enough to install the
dependencies (e.g. with winget
) and simply open the main CMakeLists.txt
file
in Visual Studio and let it work its magic.
Contributions for improving compatibility with Windows and more detailed and up to date build steps are welcome!
Building on ARM platforms is possible but lacks a maintainer and there are some gotchas.
If you are a distro maintainer, check README.packaging for recommendations on build settings for packaged builds.
PoCL with CPU device support can be found on many linux distribution managers. See
PoCL with CUDA driver support for Linux x86_64
, aarch64
and ppc64le
can be found on conda-forge distribution and can be installed with
wget "https://github.com/conda-forge/miniforge/releases/latest/download/Mambaforge-$(uname)-$(uname -m).sh"
bash Mambaforge-$(uname)-$(uname -m).sh # install mambaforge
To install pocl with cuda driver
mamba install pocl-cuda
To install all drivers
mamba install pocl
PoCL with CPU driver support Intel and Apple Silicon chips can be found on homebrew and can be installed with
brew install pocl
Note that this installs an ICD loader from KhronoGroup and the builtin OpenCL implementation will be invisible when your application is linked to this loader.
PoCL with CPU driver support Intel and Apple Silicon chips can be found on conda-forge distribution and can be installed with
curl -L -O "https://github.com/conda-forge/miniforge/releases/latest/download/Mambaforge-$(uname)-$(uname -m).sh"
bash Mambaforge-$(uname)-$(uname -m).sh
To install the CPU driver
mamba install pocl
Note that this installs an ICD loader from KhronoGroup and the builtin OpenCL implementation will be invisible when your application is linked to this loader. To make both pocl and the builtin OpenCL implementaiton visible, do
mamba install pocl ocl_icd_wrapper_apple
PoCL is distributed under the terms of the MIT license. Contributions are expected to be made with the same terms.