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README.md

README.md

hipify-clang

hipify-clang is a clang-based tool to automatically translate CUDA source code into portable HIP C++.

Table of Contents

Supported CUDA APIs

Dependencies

hipify-clang requires:

  1. LLVM+CLANG of at least version 3.8.0, latest stable and recommended releases:

    6.0.1 (linux and windows),

    7.0.0 (linux only).

  2. CUDA at least version 7.5, latest supported release is 9.2.

LLVM release version CUDA latest supported version Comments
3.8.0 7.5
3.8.1 7.5
3.9.0 7.5
3.9.1 7.5
4.0.0 8.0
4.0.1 8.0
5.0.0 8.0
5.0.1 8.0
5.0.2 8.0
6.0.0 9.0
6.0.1 9.0
7.0.0 9.2 linux only
10.0 not yet supported

In most cases, you can get a suitable version of LLVM+CLANG with your package manager.

Failing that or having multiple versions of LLVM, you can download a release archive, build or install it, and set CMAKE_PREFIX_PATH so cmake can find it; for instance: -DCMAKE_PREFIX_PATH=f:\LLVM\6.0.1\dist

Build and install

Build

Assuming this repository is at ./HIP:

cd hipify-clang
mkdir build dist
cd build

cmake \
 -DCMAKE_INSTALL_PREFIX=../dist \
 -DCMAKE_BUILD_TYPE=Release \
 ..

make -j install

On Windows the following option should be specified for cmake at first place: -G "Visual Studio 15 2017 Win64" and after cmake the generated hipify-clang.sln should be built by Visual Studio 15 2017 instead of make.

Debug build type -DCMAKE_BUILD_TYPE=Debug is also supported and tested, LLVM+CLANG should be built in Debug mode as well. 64 bit build mode -Thost=x64 is supported as well, LLVM+CLANG should be built (installed) in 64bit mode as well.

The binary can then be found at ./dist/bin/hipify-clang.

Test

hipify-clang has unit tests using LLVM lit/FileCheck.

LLVM+CLANG should be built from sources, Pre-Built Binaries are not exhaustive for testing.

To run it:

  1. Download LLVM+CLANG sources.

  2. Build LLVM+CLANG. For instance:

    cd llvm
    mkdir build dist
    cd build
    
    cmake \
     -DCMAKE_INSTALL_PREFIX=../dist \
     -DLLVM_SOURCE_DIR=../llvm \
     -DCMAKE_BUILD_TYPE=Release \
     -Thost=x64 \
     ../llvm
    
    make -j install

    On Windows the following option should be specified for cmake at first place: -G "Visual Studio 15 2017 Win64" and after cmake the generated LLVM.sln should be built by Visual Studio 15 2017 instead of make.

  3. Ensure CUDA of minimum version 7.5 is installed.

    • Having multiple CUDA installations in order to choose a concrete version the DCUDA_TOOLKIT_ROOT_DIR option should be specified:

      -DCUDA_TOOLKIT_ROOT_DIR="C:/Program Files/NVIDIA GPU Computing Toolkit/CUDA/v9.0"

      • On Windows CUDA_SDK_ROOT_DIR option should be specified as well:

      -DCUDA_SDK_ROOT_DIR="c:/ProgramData/NVIDIA Corporation/CUDA Samples/v9.0"

  4. Ensure cuDNN of version corresponding to CUDA's version is installed.

    • Path to cuDNN should be specified by the CUDA_DNN_ROOT_DIR option:

      -DCUDA_DNN_ROOT_DIR=f:/CUDNN/cudnn-9.0-windows10-x64-v7.1

  5. Ensure python of minimum required version 2.7 is installed.

  6. Ensure lit and FileCheck are installed - these are distributed with LLVM.

    • installing lit into python might be required:

      python f:/LLVM/6.0.1/llvm/utils/lit/setup.py install,

      where f:/LLVM/6.0.1/llvm is LLVM sources root directory.

    • Starting with LLVM 6.0.1 path to llvm-lit.py script should be specified by the LLVM_EXTERNAL_LIT option:

      -DLLVM_EXTERNAL_LIT=f:/LLVM/6.0.1/build/Release/bin/llvm-lit.py,

      where f:/LLVM/6.0.1/build/Release is LLVM build directory.

  7. Build with the HIPIFY_CLANG_TESTS option turned on: -DHIPIFY_CLANG_TESTS=1.

  8. make test-hipify

    On Windows after cmake the project test-hipify in the generated hipify-clang.sln should be built by Visual Studio 15 2017 instead of make test-hipify.

Windows

On Windows the following configurations are tested:

LLVM 6.0.0 - 6.0.1, CUDA 9.0, cudnn-9.0

LLVM 5.0.0 - 5.0.2, CUDA 8.0, cudnn-8.0

Build system for the above configurations:

Python 3.6 (min), cmake 3.10 (min), Visual Studio 15.5 2017 (min).

Here is an example of building hipify-clang with testing support on Windows 10 by Visual Studio 15 2017:

cmake
 -G "Visual Studio 15 2017 Win64" \
 -DHIPIFY_CLANG_TESTS=1 \
 -DCMAKE_BUILD_TYPE=Release \
 -DCMAKE_INSTALL_PREFIX=../dist \
 -DCMAKE_PREFIX_PATH=f:/LLVM/6.0.1/dist \
 -DCUDA_TOOLKIT_ROOT_DIR="c:/Program Files/NVIDIA GPU Computing Toolkit/CUDA/v9.0" \
 -DCUDA_SDK_ROOT_DIR="c:/ProgramData/NVIDIA Corporation/CUDA Samples/v9.0" \
 -DCUDA_DNN_ROOT_DIR=f:/CUDNN/cudnn-9.0-windows10-x64-v7.1 \
 -DLLVM_EXTERNAL_LIT=f:/LLVM/6.0.1/build/Release/bin/llvm-lit.py \
 -Thost=x64
 ..

A corresponding successful output:

-- Found LLVM 6.0.1:
--    - CMake module path: F:/LLVM/6.0.1/dist/lib/cmake/llvm
--    - Include path     : F:/LLVM/6.0.1/dist/include
--    - Binary path      : F:/LLVM/6.0.1/dist/bin
-- Found PythonInterp: C:/Program Files/Python36/python.exe (found suitable version "3.6.4", minimum required is "2.7")
-- Found lit: C:/Program Files/Python36/Scripts/lit.exe
-- Found FileCheck: F:/LLVM/6.0.1/dist/bin/FileCheck.exe
-- Found CUDA: C:/Program Files/NVIDIA GPU Computing Toolkit/CUDA/v9.0 (found version "9.0")
-- Configuring done
-- Generating done
-- Build files have been written to: f:/HIP/hipify-clang/build

Running and using hipify-clang

To process a file, hipify-clang needs access to the same headers that would be needed to compile it with clang.

For example:

hipify-clang square.cu -- \
  -x cuda \
  --cuda-path=/opt/cuda \
  --cuda-gpu-arch=sm_30 \
  -isystem /opt/cuda/samples/common/inc
  -I /opt/cuda/cuDNN

hipify-clang arguments are given first, followed by a separator, and then the arguments you'd pass to clang if you were compiling the input file. The Clang manual for compiling CUDA may be useful.

For a list of hipify-clang options, run hipify-clang --help.

Disclaimer

The information contained herein is for informational purposes only, and is subject to change without notice. While every precaution has been taken in the preparation of this document, it may contain technical inaccuracies, omissions and typographical errors, and AMD is under no obligation to update or otherwise correct this information. Advanced Micro Devices, Inc. makes no representations or warranties with respect to the accuracy or completeness of the contents of this document, and assumes no liability of any kind, including the implied warranties of noninfringement, merchantability or fitness for particular purposes, with respect to the operation or use of AMD hardware, software or other products described herein. No license, including implied or arising by estoppel, to any intellectual property rights is granted by this document. Terms and limitations applicable to the purchase or use of AMD's products are as set forth in a signed agreement between the parties or in AMD's Standard Terms and Conditions of Sale.

AMD, the AMD Arrow logo, and combinations thereof are trademarks of Advanced Micro Devices, Inc. Other product names used in this publication are for identification purposes only and may be trademarks of their respective companies.

Copyright (c) 2014-2018 Advanced Micro Devices, Inc. All rights reserved.