An NBTI-aware Task Parallelism Scheme for Improving Lifespan of Multi-core Systems

Yu-Guang Chen, Yu-Yi Lin, Ing-Chao Lin
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Abstract

Task parallelism schemes with a multi-core system are widely used through various applications nowadays to obtain better throughput. Most of previous works will try to find maximum degree of parallelism (DOP) to achieve best performance. However, aging effects have become an unavoidable threat which may degrade system performance and even cause functional failure. We observe that if a task is always executed with maximum DOP, all cores may continuously suffer from the NBTI effect and wear out soon. On the other hand, if we can decrease DOP without causing task deadline violation, some cores may have opportunities to be power-gated and recover from the NBTI effect. In this paper, we propose a novel NBTI-aware task parallelism framework for multi-core systems to realize such an idea. Our framework first prioritizes ready tasks based on its criticality and then decide best DOP of each task without causing timing violation. After that, a task-to-core mapping algorithm which considers both IR-drop and core utilization is proposed. Finally, a recover decision algorithm is used to find the suitable recover mode of each core. Experimental results show that the proposed NBTI-aware task parallelism framework can successfully extend system lifetime to 3.7 times compared with MAX DOP method.
一种提高多核系统寿命的nbti感知任务并行方案
多核系统任务并行机制被广泛应用于各种应用中,以获得更高的吞吐量。以往的大部分工作都试图找到最大并行度(DOP)来获得最佳性能。然而,老化效应已经成为不可避免的威胁,它可能会降低系统的性能,甚至导致功能失效。我们观察到,如果一个任务总是以最大DOP执行,所有核心可能会持续受到NBTI效应的影响,并很快耗尽。另一方面,如果我们可以降低DOP而不引起任务截止日期的违反,一些核心可能有机会被电源门控并从NBTI效应中恢复。在本文中,我们提出了一个新的多核系统的nbti感知任务并行框架来实现这一思想。我们的框架首先根据就绪任务的关键程度对其进行优先级排序,然后在不造成时间冲突的情况下确定每个任务的最佳DOP。在此基础上,提出了一种同时考虑ir下降和核心利用率的任务到核心映射算法。最后,采用恢复决策算法确定各核的合适恢复模式。实验结果表明,与MAX DOP方法相比,所提出的nbti感知任务并行框架可以成功地将系统寿命延长3.7倍。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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