一种新的NoC上多dag在线核块分配框架和策略

U. Boregowda, V. R. Chakaravarthy
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引用次数: 0

摘要

计算机行业已经普遍认为,未来性能的提高必须在很大程度上来自于增加芯片上处理核心的数量。这导致了NoC处理器的出现。任务调度是当今并行程序员面临的最具挑战性的问题之一,被称为np完全问题。一个好的原则是内核空间共享和在NoC处理器上同时调度多个dag。因此,需要为DAG找到最优的核心数量,并进一步为DAG分配NoC上的哪个核心区域。在这项工作中,提出了一种在NoC处理器上为DAG找到近最优最小核块的方法。此外,实验了一个时间高效的框架和三种在线块分配策略。策略的目标是改进提交的dag集的总完成时间,从而提高吞吐量。在模拟器上对这些策略进行了实验,发现它们提供了比文献中发现的策略更好的性能。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A novel framework and policies for on-line block of cores allotment for multiple DAGs on NoC
Computer industry has widely accepted that future performance increases must largely come from increasing the number of processing cores on a die. This has led to NoC processors. Task scheduling is one of the most challenging problems facing parallel programmers today which is known to be NP-complete. A good principle is space-sharing of cores and to schedule multiple DAGs simultaneously on NoC processor. Hence the need to find optimal number of cores for a DAG and further which region of cores on NoC, to be allotted for a DAG . In this work, a method is proposed to find near-optimal minimal block of cores for a DAG on a NoC processor. Further, a time efficient framework and three on-line block allotment policies to submitted DAGs are experimented. The objectives of the policies, is to improve the total completion time for the submitted set of DAGs, hence the throughput. The policies are experimented on a simulator and found to deliver better performance than the policies found in literature.
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