Energy efficiency optimization of task-parallel codes on asymmetric architectures
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arXiv
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| Main Authors: | , , , |
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| Format: | Preprint |
| Published: |
2024
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| _version_ | 1866914672473538560 |
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| author | Costero, Luis Igual, Francisco D. Olcoz, Katzalin Tirado, Francisco |
| author_facet | Costero, Luis Igual, Francisco D. Olcoz, Katzalin Tirado, Francisco |
| contents | We present a family of policies that, integrated within a runtime task scheduler (Nanox), pursue the goal of improving the energy efficiency of task-parallel executions with no intervention from the programmer. The proposed policies tackle the problem by modifying the core operating frequency via DVFS mechanisms, or by enabling/disabling the mapping of tasks to specific cores at selected execution points, depending on the internal status of the scheduler. Experimental results on an asymmetric SoC (Exynos 5422) and for a specific operation (Cholesky factorization) reveal gains up to 29% in terms of energy efficiency and considerable reductions in average power. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2402_06319 |
| institution | arXiv |
| publishDate | 2024 |
| record_format | arxiv |
| spellingShingle | Energy efficiency optimization of task-parallel codes on asymmetric architectures Costero, Luis Igual, Francisco D. Olcoz, Katzalin Tirado, Francisco Distributed, Parallel, and Cluster Computing We present a family of policies that, integrated within a runtime task scheduler (Nanox), pursue the goal of improving the energy efficiency of task-parallel executions with no intervention from the programmer. The proposed policies tackle the problem by modifying the core operating frequency via DVFS mechanisms, or by enabling/disabling the mapping of tasks to specific cores at selected execution points, depending on the internal status of the scheduler. Experimental results on an asymmetric SoC (Exynos 5422) and for a specific operation (Cholesky factorization) reveal gains up to 29% in terms of energy efficiency and considerable reductions in average power. |
| title | Energy efficiency optimization of task-parallel codes on asymmetric architectures |
| topic | Distributed, Parallel, and Cluster Computing |
| url | https://arxiv.org/abs/2402.06319 |