It's our honor and pleasure to be cited in your paper. Thank you!

@inproceedings{10.1145/3528416.3530231,
author = {Mo, Zewei and Lin, Zejia and Zhang, Xianwei and Lu, Yutong},
title = {MoTuner: A Compiler-Based Auto-Tuning Approach for Mixed-Precision Operators},
year = {2022},
publisher = {Association for Computing Machinery},
address = {New York, NY, USA},
booktitle = {Proceedings of the 19th ACM International Conference on Computing Frontiers},
pages = {94–102},
numpages = {9},
location = {Turin, Italy},
series = {CF '22}
} 

• Tested platform

• Pull this resportory into your local

git clone https://github.com/MoZeWei/moTuner.git

• Prepare following software (In our situation, we use [email protected] to install these software)

spack load [email protected]
spack load [email protected]
spack load [email protected]
spack load [email protected]

• Add our implementation pass files into your llvm directory

cd ${your_llvm_dir}/include/llvm/Transform/
cp -r ${moTuner_dir}/include/llvm/Transform/Final_Gen ./
cp -r ${moTuner_dir}/include/llvm/Transform/Mark_Dimension_FuncID ./
cp -r ${moTuner_dir}/include/llvm/Transform/Tuning ./

• Modify the directory in ${your_llvm_dir}/include/llvm/Transform/CMakeLists.txt

include_directories(${your_llvm_dir}/include)
link_directories(${your_llvm_dir})

• Re-compile the optimization pass shared object

rm -r build
mkdir build 
cd build 
cmake ../
make

• Copy your optimization pass .so into your llvm lib

cp ./Final_Gen/libGen.so ${your_llvm_dir}/lib/
cp ./SbS_Tuning/libTuning.so ${your_llvm_dir}/lib/
cp ./Mark_Dimension_FuncID/libMDFID.so ${your_llvm_dir}/lib/

• Write your own quantization/de-dequantization/precision refinement in a file (Sample: rocblas_tool.hip)

• Put scripts in ${moTuner_dir}/wrap_command into any customized directory ${SHELL_DIR}, and replace directories with mzw by your own directories.

• Modify the error threshold in ${your_llvm_dir}/include/llvm/Transform/SbSTuning/Tuning.cpp

TUNING::TUNING() : ModulePass(ID)
    {
        max_err_threshold = 0.1;
        avg_err_threshold = std::numeric_limits<float>::max();
        last_tuned_id = -1;                                 //To check when first tuning
    }

• Compile the new pass .so

cd ${your_llvm_dir}/include/llvm/Transform/build
make
cp SbSTuning/libTUNING.so ${your_llvm_dir}/lib/

• Convert all cpp/hip files in your project into IR file

cd ${TARGET_DIR}
sh ${SHELL_DIR}/$get_ll.sh

• Link all your IR files and generate linked target IR file

llvm-link xxx.ll xxx.ll xxx.ll -o combine.bc
llvm-dis combine.bc

• Optimize target program with combine.ll

sh ${SHELL_DIR}/whole_proc.sh