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| Main Authors: | , , , , , , , , |
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| Format: | Preprint |
| Published: |
2024
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| Subjects: | |
| Online Access: | https://arxiv.org/abs/2408.11777 |
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| _version_ | 1866914919434158080 |
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| author | Jarmusch, Aaron Cabarcas, Felipe Pophale, Swaroop Kallai, Andrew Doerfert, Johannes Peyralans, Luke Lee, Seyong Denny, Joel Chandrasekaran, Sunita |
| author_facet | Jarmusch, Aaron Cabarcas, Felipe Pophale, Swaroop Kallai, Andrew Doerfert, Johannes Peyralans, Luke Lee, Seyong Denny, Joel Chandrasekaran, Sunita |
| contents | Software developers must adapt to keep up with the changing capabilities of platforms so that they can utilize the power of High- Performance Computers (HPC), including exascale systems. OpenMP, a directive-based parallel programming model, allows developers to include directives to existing C, C++, or Fortran code to allow node level parallelism without compromising performance. This paper describes our CI/CD efforts to provide easy evaluation of the support of OpenMP across different compilers using existing testsuites and benchmark suites on HPC platforms. Our main contributions include (1) the set of a Continuous Integration (CI) and Continuous Development (CD) workflow that captures bugs and provides faster feedback to compiler developers, (2) an evaluation of OpenMP (offloading) implementations supported by AMD, HPE, GNU, LLVM, and Intel, and (3) evaluation of the quality of compilers across different heterogeneous HPC platforms. With the comprehensive testing through the CI/CD workflow, we aim to provide a comprehensive understanding of the current state of OpenMP (offloading) support in different compilers and heterogeneous platforms consisting of CPUs and GPUs from NVIDIA, AMD, and Intel. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2408_11777 |
| institution | arXiv |
| publishDate | 2024 |
| record_format | arxiv |
| spellingShingle | CI/CD Efforts for Validation, Verification and Benchmarking OpenMP Implementations Jarmusch, Aaron Cabarcas, Felipe Pophale, Swaroop Kallai, Andrew Doerfert, Johannes Peyralans, Luke Lee, Seyong Denny, Joel Chandrasekaran, Sunita Programming Languages Software developers must adapt to keep up with the changing capabilities of platforms so that they can utilize the power of High- Performance Computers (HPC), including exascale systems. OpenMP, a directive-based parallel programming model, allows developers to include directives to existing C, C++, or Fortran code to allow node level parallelism without compromising performance. This paper describes our CI/CD efforts to provide easy evaluation of the support of OpenMP across different compilers using existing testsuites and benchmark suites on HPC platforms. Our main contributions include (1) the set of a Continuous Integration (CI) and Continuous Development (CD) workflow that captures bugs and provides faster feedback to compiler developers, (2) an evaluation of OpenMP (offloading) implementations supported by AMD, HPE, GNU, LLVM, and Intel, and (3) evaluation of the quality of compilers across different heterogeneous HPC platforms. With the comprehensive testing through the CI/CD workflow, we aim to provide a comprehensive understanding of the current state of OpenMP (offloading) support in different compilers and heterogeneous platforms consisting of CPUs and GPUs from NVIDIA, AMD, and Intel. |
| title | CI/CD Efforts for Validation, Verification and Benchmarking OpenMP Implementations |
| topic | Programming Languages |
| url | https://arxiv.org/abs/2408.11777 |