This is README.md for https://github.com/ROCM-Developer-Tools/aomp. This is the base repository for AOMP. Use this github repository for packaged releases, issues, documentation, and examples.
The last release is AOMP 17.0-2. Currently AOMP 17.0-3 is under development.
Attention Users! Please use this repository for issues. Do not put issues in any of the source code repositories.
- Overview
- Copyright and Disclaimer
- Software License Agreement
- Install
- Release Packages
- Test Install
- Examples
- Issues
- Developers Readme
- Limitations
AOMP is a scripted build of LLVM and supporting software. It has support for OpenMP target offload on AMD GPUs. Since AOMP is a clang/llvm compiler, it also supports GPU offloading with HIP, CUDA, and OpenCL.
Some sources to support OpenMP target offload on AMD GPUs have not yet been merged into the upstream LLVM trunk. However all sources used by AOMP are available in AOMP repositories. One of those repositories is a mirror of the LLVM monorepo llvm-project with a set of commits applied to a stable LLVM release branch.
The bin directory of this repository contains a README.md and build scripts needed to download, build, and install AOMP from source. In addition to the mirrored LLVM project repository, AOMP uses a number of open-source ROCm components. The build scripts will download, build, and install all components needed for AOMP. However, we recommend that you install the latest release of the debian or rpm package for AOMP described in the install page.
Copyright (c) 2019 ADVANCED MICRO DEVICES, INC.
AMD is granting you permission to use this software and documentation (if any) (collectively, the �Materials�) pursuant to the terms and conditions of the Software License Agreement included with the Materials. If you do not have a copy of the Software License Agreement, contact your AMD representative for a copy.
You agree that you will not reverse engineer or decompile the Materials, in whole or in part, except for example code which is provided in source code form and as allowed by applicable law.
WARRANTY DISCLAIMER: THE SOFTWARE IS PROVIDED "AS IS" WITHOUT WARRANTY OF ANY KIND. AMD DISCLAIMS ALL WARRANTIES, EXPRESS, IMPLIED, OR STATUTORY, INCLUDING BUT NOT LIMITED TO THE IMPLIED WARRANTIES OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE, TITLE, NON-INFRINGEMENT, THAT THE SOFTWARE WILL RUN UNINTERRUPTED OR ERROR- FREE OR WARRANTIES ARISING FROM CUSTOM OF TRADE OR COURSE OF USAGE. THE ENTIRE RISK ASSOCIATED WITH THE USE OF THE SOFTWARE IS ASSUMED BY YOU. Some jurisdictions do not allow the exclusion of implied warranties, so the above exclusion may not apply to You.
LIMITATION OF LIABILITY AND INDEMNIFICATION: AMD AND ITS LICENSORS WILL NOT, UNDER ANY CIRCUMSTANCES BE LIABLE TO YOU FOR ANY PUNITIVE, DIRECT, INCIDENTAL, INDIRECT, SPECIAL OR CONSEQUENTIAL DAMAGES ARISING FROM USE OF THE SOFTWARE OR THIS AGREEMENT EVEN IF AMD AND ITS LICENSORS HAVE BEEN ADVISED OF THE POSSIBILITY OF SUCH DAMAGES. In no event shall AMD's total liability to You for all damages, losses, and causes of action (whether in contract, tort (including negligence) or otherwise) exceed the amount of $100 USD. You agree to defend, indemnify and hold harmless AMD and its licensors, and any of their directors, officers, employees, affiliates or agents from and against any and all loss, damage, liability and other expenses (including reasonable attorneys' fees), resulting from Your use of the Software or violation of the terms and conditions of this Agreement.
U.S. GOVERNMENT RESTRICTED RIGHTS: The Materials are provided with "RESTRICTED RIGHTS." Use, duplication, or disclosure by the Government is subject to the restrictions as set forth in FAR 52.227-14 and DFAR252.227-7013, et seq., or its successor. Use of the Materials by the Government constitutes acknowledgement of AMD's proprietary rights in them.
EXPORT RESTRICTIONS: The Materials may be subject to export restrictions as stated in the Software License Agreement.
See the release notes in github. Here are some limitations.
- Some simd constructs fail to vectorize on both host and GPUs.