CSR---EHS: Software-Modulated Fault Tolerance
CSR---EHS: Software-Modulated Fault Tolerance
批准号:
0615250
负责人:
David August
金额:
$32.0万
依托单位:
依托单位国家:
美国
项目类别:
Continuing Grant
财政年份:
2006
资助国家:
美国
项目状态:
已结题
起止时间:
2006-07-01 至 2009-06-30
中文摘要
微处理器的性能呈指数级增长,很大程度上是由于改进的制造技术使晶体管变得更小、更快。虽然这种晶体管的性能得到了提高,但它们较低的阈值电压和较紧的噪声边界使它们不太可靠,使使用它们的处理器更容易受到瞬态故障的影响。虽然已经为高端系统提出了许多容错技术,但这些解决方案的高硬件成本使它们不适用于桌面和嵌入式计算市场。这项工作发展了软件调制容错(SMFT)的概念,通过利用程序中自然发生的非均匀性来降低可靠性成本。通过让系统、程序员甚至用户决定何时以及如何应用保护,可以调整容错的影响,以最好地适应不断变化的系统的需求。通过仅在必要时提高可靠性,SMFT可以释放资源来提高性能或降低功耗。随着一系列分析器、编译器和语言技术的发展,这项工作使设计人员能够在存在瞬时故障的情况下,继续为所有市场扩展处理器性能。
英文摘要
Microprocessor performance has been increasing exponentially due in large part to smaller and faster transistors enabled by improved fabrication technology. While such transistors yield performance enhancements, their lower threshold voltages and tighter noise margins make them less reliable, rendering processors that use them more susceptible to transient faults. While many fault-tolerance techniques have been proposed for high-end systems, the high hardware costs of these solutions make them impractical for the desktop and embedded computing markets.This work develops the concept of software-modulated fault tolerance (SMFT) to reduce the cost of reliability by taking advantage of naturally occurring non-uniformity in programs. By letting the system, the programmer, or even the user decide when and how to apply protection, the impact of fault tolerance can be adapted to best suit the needs of the constantly varying system. By increasing reliability only when warranted, SMFT frees up resources to either increase performance or reduce power. With the development of a set of profiler, compiler, and language techniques, this work allows designers to continue scaling processor performance for all markets despite the presence of transient faults.
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II-New: A Platform for Data-Parallel GPU Computing at Princeton
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SI2-SSI: Accelerating the Pace of Research through Implicitly Parallel Programming
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SGER: A Hybrid Approach for Petascale Computing: Accelerating Scientific
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依托单位:
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