Managing multi-core soft-error reliability through utility-driven cross domain optimization

Wangyuan Zhang, Tao Li
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引用次数: 14

Abstract

As semiconductor processing technology continues to scale down, managing reliability becomes an increasingly difficult challenge in high-performance microprocessor design. Transient faults, also known as soft errors, corrupt program data at the circuit level and cause incorrect program execution and system crashes. Future processors will consist of billions of transistors organized as multicore microarchitectures. Packaging multiple cores (and hence more transistors) onto the same die exposes more devices to soft error strikes. This paper explores utility-function-driven (benefit driven) cross domain optimization for both performance and reliability. We propose the use of utility-based resource management for individual cores while applying utility-based shared cache partitioning across multiple cores. Moreover, we coordinate the optimization of multiple resources based on their cross domain utility information to achieve attractive performance and reliability tradeoffs. Extensive experimental results show that, on average, our utility-driven cross domain optimization reduces the soft error rate of the most vulnerable core in a chip multiprocessor (CMP) by up to 35% and improves the CMPpsilas overall reliability by 22% with less than 3% performance degradation across 15 investigated workloads.
通过实用程序驱动的跨域优化管理多核软错误可靠性
随着半导体加工技术的不断缩小,管理可靠性成为高性能微处理器设计中越来越困难的挑战。暂态故障,也称为软错误,在电路级损坏程序数据并导致错误的程序执行和系统崩溃。未来的处理器将由数十亿个组成多核微架构的晶体管组成。封装多个核心(因此更多的晶体管)到同一个芯片暴露更多的器件软错误打击。本文探讨了效用-功能驱动(效益驱动)的跨领域性能和可靠性优化。我们建议对单个内核使用基于实用程序的资源管理,同时跨多个内核应用基于实用程序的共享缓存分区。此外,我们基于多个资源的跨域效用信息来协调优化,以实现有吸引力的性能和可靠性权衡。广泛的实验结果表明,平均而言,我们的实用程序驱动的跨域优化将芯片多处理器(CMP)中最脆弱核心的软错误率降低了35%,并将CMPpsilas的整体可靠性提高了22%,在15个被调查的工作负载中性能下降不到3%。
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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