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| Main Authors: | , , |
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| Format: | Preprint |
| Published: |
2023
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| Subjects: | |
| Online Access: | https://arxiv.org/abs/2306.16731 |
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| _version_ | 1866929666425618432 |
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| author | Loi, Chung Ming Bockhorst, Heinrich Weinzierl, Tobias |
| author_facet | Loi, Chung Ming Bockhorst, Heinrich Weinzierl, Tobias |
| contents | We discuss three SYCL realisations of a simple Finite Volume scheme over multiple Cartesian patches. The realisation flavours differ in the way how they map the compute steps onto loops and tasks: We compare an implementation that is exclusively using a sequence of for-loops to a version that uses nested parallelism, and finally benchmark these against a version modelling the calculations as task graph. Our work proposes realisation idioms to realise these flavours within SYCL. The results suggest that a mixture of classic task and data parallelism performs if we map this hybrid onto a solely data-parallel SYCL implementation, taking into account SYCL specifics and the problem size. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2306_16731 |
| institution | arXiv |
| publishDate | 2023 |
| record_format | arxiv |
| spellingShingle | SYCL compute kernels for ExaHyPE Loi, Chung Ming Bockhorst, Heinrich Weinzierl, Tobias Mathematical Software Distributed, Parallel, and Cluster Computing We discuss three SYCL realisations of a simple Finite Volume scheme over multiple Cartesian patches. The realisation flavours differ in the way how they map the compute steps onto loops and tasks: We compare an implementation that is exclusively using a sequence of for-loops to a version that uses nested parallelism, and finally benchmark these against a version modelling the calculations as task graph. Our work proposes realisation idioms to realise these flavours within SYCL. The results suggest that a mixture of classic task and data parallelism performs if we map this hybrid onto a solely data-parallel SYCL implementation, taking into account SYCL specifics and the problem size. |
| title | SYCL compute kernels for ExaHyPE |
| topic | Mathematical Software Distributed, Parallel, and Cluster Computing |
| url | https://arxiv.org/abs/2306.16731 |