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Simultaneous Scheduling and Core-Type Optimization for Moldable Fork-Join Tasks on Heterogeneous Multicores

NISHIKAWA, Hiroki ; SHIMADA, Kana ; TANIGUCHI, Ittetsu ; TOMIYAMA, Hiroyuki

IEICE Transactions on Fundamentals of Electronics, Communications and Computer Sciences, 2022/03/01, Vol.E105.A(3), pp.540-548 [Periódico revisado por pares]

Tokyo: The Institute of Electronics, Information and Communication Engineers

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  • Título:
    Simultaneous Scheduling and Core-Type Optimization for Moldable Fork-Join Tasks on Heterogeneous Multicores
  • Autor: NISHIKAWA, Hiroki ; SHIMADA, Kana ; TANIGUCHI, Ittetsu ; TOMIYAMA, Hiroyuki
  • Assuntos: Co-design ; Computer architecture ; Energy consumption ; heterogeneous multicores ; integer linear programming ; Optimization ; Optimization techniques ; parallel computing ; Parallel processing ; Scheduling ; Task scheduling
  • É parte de: IEICE Transactions on Fundamentals of Electronics, Communications and Computer Sciences, 2022/03/01, Vol.E105.A(3), pp.540-548
  • Descrição: With the demand for energy-efficient and high- performance computing, multicore architecture has become more appealing than ever. Multicore task scheduling is one of domains in parallel computing which exploits the parallelism of multicore. Unlike traditional scheduling, multicore task scheduling has recently been studied on the assumption that tasks have inherent parallelism and can be split into multiple sub-tasks in data parallel fashion. However, it is still challenging to properly determine the degree of parallelism of tasks and mapping on multicores. Our proposed scheduling techniques determine the degree of parallelism of tasks, and sub-tasks are decided which type of cores to be assigned to heterogeneous multicores. In addition, two approaches to hardware/software codesign for heterogeneous multicore systems are proposed. The works optimize the types of cores organized in the architecture simultaneously with scheduling of the tasks such that the overall energy consumption is minimized under a deadline constraint, a warm start approach is also presented to effectively solve the problem. The experimental results show the simultaneous scheduling and core-type optimization technique remarkably reduces the energy consumption.
  • Editor: Tokyo: The Institute of Electronics, Information and Communication Engineers
  • Idioma: Inglês
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  • Realização: ABCD-USP USP   Logos de Redes Sociais: Freepik

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