支持动态重配置机制,提高gpgpu的可靠性

J. E. R. Condia, Pierpaolo Narducci, M. Reorda, L. Sterpone
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引用次数: 7

摘要

通用图形处理单元(gpgpu)是高要求数据处理应用的有效解决方案。最近,它们甚至开始用于安全关键应用,例如自动驾驶汽车系统。gpgpu采用最新的半导体技术实现,在终身运行过程中更容易出现故障。然而,到目前为止,故障缓解解决方案并没有广泛地包含在gpgpu中,因为它们最初打算用于的应用程序(例如,游戏或多媒体)的可靠性要求有限。本文提出了一种动态可配置的自修复机制,旨在减轻gpgpu中标量处理器(SP)核心永久故障的影响。该机制基于备用模块,当检测到故障时,备用模块可以替换故障的sp。配置指令允许在软件中动态控制SM中活动sp集的选择。该方法非常灵活,因为它不需要对应用程序软件进行任何更改。实验结果表明,该方案引入了适度的面积开销,即使在任何永久性故障影响SPs的情况下也可以继续工作。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A dynamic reconfiguration mechanism to increase the reliability of GPGPUs
General Purpose Graphic Processing Units (GPGPUs) are effective solutions for high-demanding data processing applications. Recently, they started to be used even in safety-critical applications, such as autonomous car driving systems. GPGPUs are implemented using the latest semiconductor technologies, which are more prone to faults arising during the lifetime operation. However, until now fault mitigation solutions were not extensively included in GPGPUs, due to the limited reliability requirements of the applications they were originally intended for (e.g., gaming or multimedia). This work proposes a dynamically configurable self- repairing mechanism aimed at mitigating the impact of permanent faults in the Scalar Processor (SP) cores in GPGPUs. The mechanism is based on spare modules that can be used to replace faulty SPs when a fault is detected. A configuration instruction allows dynamically controlling in software the selection of the set of active SPs in the SM. The method is extremely flexible since it does not require any change in the application software. Experimental results show that the solution introduces a moderate area overhead while allowing continue working even in the case of any permanent faults affecting the SPs.
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