llvm/Polygeist is one of the open-source repositories TopGit tracks, currently at 623 stars, written primarily in C++. C/C++ frontend for MLIR. Also features polyhedral optimizations, parallel optimizations, and more!
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To enable compilation to cuda add -DMLIR_ENABLE_CUDA_RUNNER=1 and remove -DLLVM_TARGETS_TO_BUILD="host" from the cmake arguments. (You may need to specify CUDACXX, CUDA_PATH, and/or -DCMAKE_CUDA_COMPILER)
To enable the ROCM backend add -DMLIR_ENABLE_ROCM_RUNNER=1 and remove -DLLVM_TARGETS_TO_BUILD="host" from the cmake arguments. (You may need to specify -DHIP_CLANG_INCLUDE_PATH, and/or ROCM_PATH)
For ISL-enabled polymer, polly must be added to the LLVM_ENABLE_PROJECTS variable.
For faster compilation we recommend using -DLLVM_USE_LINKER=lld.
For faster compilation we recommend using -DPOLYGEIST_USE_LINKER=lld.
GPU backends
To enable the CUDA backend add -DPOLYGEIST_ENABLE_CUDA=1
To enable the ROCM backend add -DPOLYGEIST_ENABLE_ROCM=1
Polymer
To enable polymer, add -DPOLYGEIST_ENABLE_POLYMER=1
There are two configurations of polymer that can be built - one with Pluto and one with ISL.
Pluto
Add -DPOLYGEIST_POLYMER_ENABLE_PLUTO=1
This will cause the cmake invokation to pull and build the dependencies for polymer. To specify a custom directory for the dependencies, specify -DPOLYMER_DEP_DIR=<absolute-dir>. The dependencies will be build using the tools/polymer/build_polymer_deps.sh.
To run the polymer pluto tests, use ninja check-polymer.
ISL
Add -DPOLYGEIST_POLYMER_ENABLE_ISL=1
This requires an llvm-project build with polly enabled as a subproject.
Option 2: Using unified LLVM, MLIR, Clang, and Polygeist build
Polygeist can also be built as an external LLVM project using LLVM_EXTERNAL_PROJECTS.
ninja check-polygeist-opt runs the tests in Polygeist/test/polygeist-optninja check-cgeist runs the tests in Polygeist/tools/cgeist/Test
Citing Polygeist
If you use Polygeist, please consider citing the relevant publications:
@inproceedings{polygeistPACT,
title = {Polygeist: Raising C to Polyhedral MLIR},
author = {Moses, William S. and Chelini, Lorenzo and Zhao, Ruizhe and Zinenko, Oleksandr},
booktitle = {Proceedings of the ACM International Conference on Parallel Architectures and Compilation Techniques},
numpages = {12},
location = {Virtual Event},
series = {PACT '21},
publisher = {Association for Computing Machinery},
year = {2021},
address = {New York, NY, USA},
keywords = {Polygeist, MLIR, Polyhedral, LLVM, Compiler, C++, Pluto, Polly, OpenScop, Parallel, OpenMP, Affine, Raising, Transformation, Splitting, Automatic-Parallelization, Reduction, Polybench},
}
@inproceedings{10.1145/3572848.3577475,
author = {Moses, William S. and Ivanov, Ivan R. and Domke, Jens and Endo, Toshio and Doerfert, Johannes and Zinenko, Oleksandr},
title = {High-Performance GPU-to-CPU Transpilation and Optimization via High-Level Parallel Constructs},
year = {2023},
isbn = {9798400700156},
publisher = {Association for Computing Machinery},
address = {New York, NY, USA},
url = {https://doi.org/10.1145/3572848.3577475},
doi = {10.1145/3572848.3577475},
booktitle = {Proceedings of the 28th ACM SIGPLAN Annual Symposium on Principles and Practice of Parallel Programming},
pages = {119–134},
numpages = {16},
keywords = {MLIR, polygeist, CUDA, barrier synchronization},
location = {Montreal, QC, Canada},
series = {PPoPP '23}
}
@inproceedings{10444828,
author = {Ivanov, Ivan R. and Zinenko, Oleksandr and Domke, Jens and Endo, Toshio and Moses, William S.},
booktitle = {2024 IEEE/ACM International Symposium on Code Generation and Optimization (CGO)},
title = {Retargeting and Respecializing GPU Workloads for Performance Portability},
year = {2024},
volume = {},
issn = {},
pages = {119-132},
doi = {10.1109/CGO57630.2024.10444828},
url = {https://doi.ieeecomputersociety.org/10.1109/CGO57630.2024.10444828},
publisher = {IEEE Computer Society},
address = {Los Alamitos, CA, USA},
month = {mar}
}
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How active is development on llvm/Polygeist?
The most recent commit recorded on llvm/Polygeist was 1.2 years ago, based on the GitHub push timestamp. The repository has 168 forks — one of the better signals of community interest.
How many stars does llvm/Polygeist have?
llvm/Polygeist has 623 GitHub stars — refresh the page for the live number, or check github.com/llvm/Polygeist. TopGit mirrors GitHub's count but does not claim minute-by-minute accuracy.
What is llvm/Polygeist?
llvm/Polygeist (llvm/Polygeist) is a C++ project on GitHub. From the project's own README: C/C++ frontend for MLIR. Also features polyhedral optimizations, parallel optimizations, and more!
What language is llvm/Polygeist written in?
llvm/Polygeist is written primarily in C++. GitHub's language field is based on the largest share of bytes in the default branch.
Read full README in the tab above.
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