Generating Bindings in MPICH
Fuente:
arXiv
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| Autori principali: | , , , |
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| Natura: | Preprint |
| Pubblicazione: |
2024
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| Accesso online: | |
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| _version_ | 1866909087426412544 |
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| author | Zhou, Hui Raffenetti, Ken Bland, Wesley Guo, Yanfei |
| author_facet | Zhou, Hui Raffenetti, Ken Bland, Wesley Guo, Yanfei |
| contents | The MPI Forum has recently adopted a Python scripting engine for generating the API text in the standard document. As a by-product, it made available reliable and rich descriptions of all MPI functions that are suited for scripting tools. Using these extracted API information, we developed a Python code generation toolbox to generate the language binding layers in MPICH. The toolbox replaces nearly 70,000 lines of manually maintained C and Fortran 2008 binding code with around 5,000 lines of Python scripts plus some simple configuration. In addition to completely eliminating code duplication in the binding layer and avoiding bugs from manual code copying , the code generation also minimizes the effort for API extension and code instrumentation. This is demonstrated in our implementation of MPI-4 large count functions and the prototyping of a next generation MPI profiling interface, QMPI. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2401_16547 |
| institution | arXiv |
| publishDate | 2024 |
| record_format | arxiv |
| spellingShingle | Generating Bindings in MPICH Zhou, Hui Raffenetti, Ken Bland, Wesley Guo, Yanfei Distributed, Parallel, and Cluster Computing The MPI Forum has recently adopted a Python scripting engine for generating the API text in the standard document. As a by-product, it made available reliable and rich descriptions of all MPI functions that are suited for scripting tools. Using these extracted API information, we developed a Python code generation toolbox to generate the language binding layers in MPICH. The toolbox replaces nearly 70,000 lines of manually maintained C and Fortran 2008 binding code with around 5,000 lines of Python scripts plus some simple configuration. In addition to completely eliminating code duplication in the binding layer and avoiding bugs from manual code copying , the code generation also minimizes the effort for API extension and code instrumentation. This is demonstrated in our implementation of MPI-4 large count functions and the prototyping of a next generation MPI profiling interface, QMPI. |
| title | Generating Bindings in MPICH |
| topic | Distributed, Parallel, and Cluster Computing |
| url | https://arxiv.org/abs/2401.16547 |