Clspv is a prototype compiler for a subset of OpenCL C to Vulkan compute shaders.

It consists of:

• A set of LLVM Module passes to transform a dialect of LLVM IR into a SPIR-V module containing Vulkan compute shaders.
• A command line compiler tool called 'clspv' to compile a subset of OpenCL C into a Vulkan compute shader.

Clspv depends on external projects:

• Top-of-tree versions of Clang and LLVM
• SPIRV-Tools
• SPIRV-Headers

Clspv is licensed under the terms of the Apache 2.0 license. The AUTHORS file lists the copyright owners, while individual credit is given in the CONTRIBUTORS file. To contribute, see CONTRIBUTING.md.

Materials in projects Clspv depends on are licensed under their own terms.

Clspv is not an official Google product.

The compiler is an incomplete prototype, with many rough edges.

The input language is a subset of OpenCL C version 1.2. The OpenCL C on Vulkan Specification describes the specific subset, and also the mapping into Vulkan compute shaders.

Compile a set of kernels into a SPIR-V binary module:

clspv foo.cl -o foo.spv

Emit the binary as a C initializer list, for easy embedding of a shader in in a C or C++ program source:

clspv -mfmt=c foo.cl -o -

Predefine some preprocessor symbols:

clspv -DWIDTH=32 -DHEIGHT=64 foo.cl -o foo.spv

Use OpenCL compiler options:

clspv -cl-fast-relaxed-math -cl-single-precision-constant foo.cl -o foo.spv

Show help:

clspv -help

Compiler Explorer is an interactive compiler exploration website. Edit code in C, C++, C#, F#, Rust, Go, D, Haskell, Swift, Pascal, ispc, Python, Java or in any of the other 30+ supported languages, and see how that code looks after being compiled in real time. Multiple compilers are supported for each language, many different tools and visualisations are available, and the UI layout is configurable (thanks to GoldenLayout).

-- https://github.com/compiler-explorer/compiler-explorer#readme

clspv is available in compiler-explorer among the OpenCL C compilers.

It is built daily by the compiler-explorer infrastructure.

You will need:

• CMake
• Python3
• A C++ compiler
• git

Clspv depends on the sources for other projects, at specific commits. Run the following command to download those dependencies, and place them in the third_party directory:

python3 utils/fetch_sources.py

Then, create a build directory:

cd <clspv-dir>
mkdir build
cd build

Then configure and build the code:

cmake <clspv-dir>
cmake --build .

This will build the clspv command line compiler and place it in location bin/clspv under the build directory.

We recommend you use the Ninja build tool if it's available. To do so, replace the last two commands with:

cmake -G Ninja <clspv-dir>
ninja

Other useful configuration options (the first cmake command):

• -DCMAKE_BUILD_TYPE=RelWithDebInfo : Build in release mode, with debugging information. Default is a debug build.

See the CMake documentation for more generic options.

To run the test suite from within the build directory:

cmake --build . --target check-spirv

Or if you are using Ninja:

ninja check-spirv

Clspv includes an LLVM IR library (cmake/clspv--.bc) containing implementations of some OpenCL builtin functions. This file is distributed under the LLVM license (included in LICENSE) as it is generated from the LLVM sub-project libclc. Refer to the source for the relevant copyrights.

You will need a pre-built version of LLVM for your system, CMake, and (optionally) Ninja.

To rebuild the library run the following commands:

cmake -GNinja <libclc dir> -DLIBCLC_TARGETS_TO_BUILD="clspv--" -DLLVM_CONFIG=<path to llvm-config>
ninja

Copy the resulting clspv--.bc into the cmake/ directory and rebuild clspv.