基于可配置性的多媒体应用低成本容错技术

Lanfang Tan, Ying Tan
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引用次数: 1

摘要

随着芯片密度和时钟速率的增加,处理器越来越容易受到影响程序正确性的瞬态故障的影响。因此,容错在计算系统中变得越来越重要。容错技术的两个主要关注点是:a)通过检测瞬态错误来提高系统可靠性;b)降低性能开销。在本研究中,我们提出了一种针对多媒体应用的高可靠性和低性能开销的可配置容错技术。其基本原理是应用不同级别的容错可配置性,这意味着在多媒体应用程序中,对源代码的不同部分应用不同程度的容错。首先,在源代码级别执行基本分析,对关键语句进行分类。其次,采用故障注入与统计分析相结合的方法,保证了系统在置信度上的划分。最后,对关键语句采用基于校验和的容错和指令复制,而对非关键部分不采用容错机制。性能实验结果表明,与复制所有指令相比,我们的可配置容错技术可以显著提高性能。并对该方案的故障覆盖率进行了评估。错误注入结果表明,大约90%的输出是应用程序级别的正确性,而运行时开销仅为20%。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A Low-Cost Fault Tolerance Technique in Multi-media Applications through Configurability
As chip densities and clock rates increases, processors are becoming more susceptible to transient faults that affect program correctness. Therefore, fault tolerance becomes increasingly important in computing system. Two major concerns of fault tolerance techniques are: a) improving system reliability by detecting transient errors and b) reducing performance overhead. In this study, we propose a configurable fault tolerance technique targeting both high reliability and low performance overhead for multi-media applications. The basic principle is applying different levels of fault tolerance configurability, which means that different degrees of fault tolerance are applied to different parts of the source codes in multi-media applications. First, a primary analysis is performed on the source code level to classify the critical statements. Second, a fault injection process combined with a statistical analysis is used to assure the partition with regards to a confidence degree. Finally, checksum-based fault tolerance and instruction duplication are applied to critical statements, while no fault tolerance mechanism is applied to non-critical parts. Performance experiment results demonstrate that our configurable fault tolerance technique can lead to significant performance gains compared with duplicating all instructions. The fault coverage of this scheme is also evaluated. Fault injection results show that about 90% of outputs are application-level correctness with just 20% of runtime overhead.
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