克服早期失效和老化的鲁棒系统设计挑战

Yanjing Li, S. Mitra, Donald S. Gardner, Young Moon Kim, E. Mintarno
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引用次数: 9

摘要

设计健壮系统的最大挑战是最小化错误检测的成本。大多数现有的错误检测技术都存在高功耗、高性能成本和/或额外的设计复杂性的问题。电路故障预测与CASP在线诊断相结合,可以设计出强大的系统,有效地克服与早期故障和老化相关的可靠性挑战。与传统的错误检测相比,这种方法最吸引人的特点是它显著降低了功耗。它还开辟了跨多个抽象层(电路、架构、虚拟化/操作系统和应用程序)的新研究机会,用于在平衡功率、性能、面积和设计复杂性约束的同时,根据可靠性要求设计优化的健壮系统。这种全局优化对于未来的健壮系统至关重要。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Overcoming Early-Life Failure and Aging Challenges for Robust System Design
The biggest challenge in designing robust systems is to minimize the costs of error detection. Most existing error detection techniques suffer from high power and performance costs, and / or additional design complexity. Circuit failure prediction, together with CASP on-line diagnostics, enable design of robust systems that can effectively overcome reliability challenges associated with early-life failures and aging. The key attractive feature of such an approach is its significantly reduced power cost compared to traditional error detection. It also opens up new research opportunities across multiple abstraction layers (circuit, architecture, virtualization/OS, and applications) for designing optimized robust systems with respect to reliability requirements while balancing power, performance, area, and design complexity constraints. Such global optimization is essential for robust systems of the future.
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来源期刊
IEEE Design & Test of Computers
IEEE Design & Test of Computers 工程技术-工程:电子与电气
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