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-# HIPIFY
-The CLANG-based HIPIFY tool - translates CUDA to [HIP](https://github.com/GPUOpen-ProfessionalCompute-Tools/HIP/blob/master/README.md)
-
-# How to Build tool *in llvm source tree*
-- get LLVM, CLANG and clang-tools-extra sources
-- put hipify folder into llvm/tools/clang/tools/extra, add it to llvm/tools/clang/tools/extra/CMakeLists.txt
-- run cmake and build tool
-```
-git clone http://llvm.org/git/llvm.git llvm
-git clone http://llvm.org/git/clang.git llvm/tools/clang
-git clone http://llvm.org/git/clang-tools-extra.git llvm/tools/clang/tools/extra
-git clone https://github.com/GPUOpen-ProfessionalCompute-Tools/HIP-hipify.git llvm/tools/clang/tools/extra/hipify
-echo "add_subdirectory(hipify)" >> llvm/tools/clang/tools/extra/CMakeLists.txt
-
-mkdir llvm_build && cd llvm_build
-cmake -DLLVM_TARGETS_TO_BUILD="X86;NVPTX" ../llvm
-make
-```
-
-# How to Build *standalone* tool
-- Get LLVM and CLANG sources, build them and install to a **LLVM_INSTALL_PATH** folder
-- mkdir for hipify, run cmake there and build the tool:
-```
-git clone http://llvm.org/git/llvm.git llvm
-git clone http://llvm.org/git/clang.git llvm/tools/clang
-
-mkdir llvm_build && cd llvm_build
-cmake -DCMAKE_INSTALL_PREFIX="LLVM_INSTALL_PATH" -DLLVM_TARGETS_TO_BUILD="X86;NVPTX" ../llvm
-make && make install
-
-git clone https://github.com/GPUOpen-ProfessionalCompute-Tools/HIP-hipify.git path_to_hipify_src
-mkdir path_to_hipify_src/build && cd path_to_hipify_src/build
-cmake -DLLVM_DIR="LLVM_INSTALL_PATH" -DHIPIFY_STANDLONE=1 ..
-make
-```
-
-# How to run tests (for *standalone* tool only)
-- install Python and add python-setuptools
-- install lit python script
-- run tests from path_to_hipify_src/build
-```
-sudo apt-get install python python-setuptools
-sudo easy_install lit
-make -C path_to_hipify_src/build test
-```
-
-# Notes
-- To run, the tool needs "cuda minimal build" package:
- 1. Download target installer from https://developer.nvidia.com/cuda-downloads. Choose "deb(network)" installer type to reduce downloaded packages size (we don't need the whole set)
- 2. Run `sudo dpkg -i cuda-repo-ubuntu1404_7.5-18_amd64.deb`
- 3. Run `sudo apt-get update`
- 4. Run `sudo apt-get install cuda-minimal-build-7-5 cuda-curand-dev-7-5` - this will install needed files, (without nvidia drivers, runtime, tools etc.)