spcl / mlir-dace

Data-Centric MLIR dialect

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MLIR-DaCe

MLIR-DaCe is a project aiming to bridge the gap between control-centric and data-centric intermediate representations. By bridging these two groups of IRs, it allows the combination of control-centric and data-centric optimizations in optimization pipelines. In order to achieve this, MLIR-DaCe provides a data-centric dialect in MLIR to connect the MLIR and DaCe frameworks.

Building MLIR

If you have already MLIR built you can skip to Building MLIR-DaCe. Keep in mind that there are no guarantees for commits other than the one in the submodule.

First clone with submodules:

git clone --recurse-submodules https://github.com/spcl/mlir-dace
cd mlir-dace

Then build MLIR with:

cd llvm-project
mkdir build && cd build
cmake -G Ninja ../llvm -DLLVM_ENABLE_PROJECTS="mlir" -DLLVM_TARGETS_TO_BUILD="host" -DLLVM_ENABLE_ASSERTIONS=ON -DCMAKE_BUILD_TYPE=Release -DCMAKE_C_COMPILER=clang -DCMAKE_CXX_COMPILER=clang++ -DLLVM_ENABLE_LLD=ON -DLLVM_INSTALL_UTILS=ON

Building MLIR-DaCe

This setup assumes that you have built LLVM and MLIR in $BUILD_DIR and installed them to $PREFIX. If you built using the directions in Building MLIR, replace both with llvm-project/build/. To build and launch the tests, run

mkdir build && cd build
cmake -G Ninja .. -DMLIR_DIR=$PREFIX/lib/cmake/mlir -DLLVM_EXTERNAL_LIT=$BUILD_DIR/bin/llvm-lit
cmake --build . --target check-sdfg-opt

To build the documentation from the TableGen description of the dialect operations, run

cmake --build . --target mlir-doc

Note: Make sure to pass -DLLVM_INSTALL_UTILS=ON when building LLVM with CMake in order to install FileCheck to the chosen installation prefix.

Publication

The paper on DCIR can be found here.

If you use MLIR-DaCe, cite us:

@inproceedings{mlir-dace,
author = {Ben-Nun, Tal and Ates, Berke and Calotoiu, Alexandru and Hoefler, Torsten},
title = {Bridging Control-Centric and Data-Centric Optimization},
year = {2023},
booktitle = {Proceedings of the 21st ACM/IEEE International Symposium on Code Generation and Optimization},
series = {CGO 2023}
}

About

Data-Centric MLIR dialect

License:BSD 3-Clause "New" or "Revised" License


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Language:C++ 70.7%Language:MLIR 22.5%Language:CMake 2.4%Language:TeX 2.3%Language:Python 1.9%Language:C 0.2%