Static scheduling of the LU factorization with look-ahead on asymmetric multicore processors
[EN] We analyze the benefits of look-ahead in the parallel execution of the LU factorization with partial pivoting (LUpp) in two distinct "asymmetric" multicore scenarios. The first one corresponds to an actual hardware-asymmetric architecture such as the Samsung Exynos 5422 system...
| Autores: | , , , |
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| Tipo de recurso: | artículo |
| Fecha de publicación: | 2018 |
| País: | España |
| Institución: | Universitat Politècnica de València (UPV) |
| Repositorio: | RiuNet. Repositorio Institucional de la Universitat Politécnica de Valéncia |
| Idioma: | inglés |
| OAI Identifier: | oai:riunet.upv.es:10251/149951 |
| Acceso en línea: | https://riunet.upv.es/handle/10251/149951 |
| Access Level: | acceso abierto |
| Palabra clave: | Dense linear algebra LU factorization Look-ahead Asymmetric multicore processors Multi-threading Frequency scaling ARQUITECTURA Y TECNOLOGIA DE COMPUTADORES |
| Sumario: | [EN] We analyze the benefits of look-ahead in the parallel execution of the LU factorization with partial pivoting (LUpp) in two distinct "asymmetric" multicore scenarios. The first one corresponds to an actual hardware-asymmetric architecture such as the Samsung Exynos 5422 system-on-chip (SoC), equipped with an ARM big.LITTLE processor consisting of a quad core Cortex-A15 cluster plus a quad-core Cortex-A7 cluster. For this scenario, we propose a careful mapping of the different types of tasks appearing in LUpp to the computational resources, in order to produce an efficient architecture-aware exploitation of the computational resources integrated in this SoC. The second asymmetric configuration appears in a hardware-symmetric multicore architecture where the cores can individually operate at a different frequency levels. In this scenario, we show how to employ the frequency slack to accelerate the tasks in the critical path of LUpp in order to produce a faster global execution as well as a lower energy consumption. (C) 2018 Elsevier B.V. All rights reserved. |
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