Microarchitecture level reliability comparison of modern GPU designs: First findings

Alessandro Vallero, S. Carlo, Sotiris Tselonis, D. Gizopoulos
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引用次数: 6

Abstract

State-of-the-art GPU chips are designed to deliver extreme throughput for graphics as well as for data-parallel general purpose computing workloads (GPGPU computing). Unlike graphics computing, GPGPU computing requires highly reliable operation. The performance-oriented design of GPUs requires to jointly evaluate the vulnerability of GPU workloads to soft-errors with the performance of GPU chips. We briefly present a summary of the findings of an extensive study aiming at the evaluation of the reliability of four GPU architectures and corresponding chips, orrelating them with the performance of the workloads.
现代GPU设计的微架构级可靠性比较:初步发现
最先进的GPU芯片旨在为图形以及数据并行通用计算工作负载(GPGPU计算)提供极高的吞吐量。与图形计算不同,GPGPU计算需要高可靠性的运行。GPU的性能导向设计需要将GPU工作负载对软错误的脆弱性与GPU芯片的性能进行联合评估。我们简要介绍了一项广泛研究的结果摘要,该研究旨在评估四种GPU架构和相应芯片的可靠性,或将它们与工作负载的性能联系起来。
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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