微体系结构软错误易感性阶段特性研究  

Characterization on the Phase Behavior of Microarchitecture Soft Error Vulnerability

作　　者：成玉[1] 马安国[1] 张承义[1] 张民选[1] 

机构地区：[1]国防科学技术大学计算机学院,长沙410073

出　　处：《电子科技大学学报》2012年第2期274-279,共6页Journal of University of Electronic Science and Technology of China

基　　金：国家自然科学基金(60970036);国家863计划(2009AA01Z124;2009AA01Z102)

摘　　要：软错误易感性的阶段特性对微处理器进行动态容错管理是当前软错误研究领域的热点。针对体系结构弱点因子AVF是最常用的软错误易感性评估指标之一,提出了一种快速有效的AVF评估框架,对微处理器关键部件的AVF值进行评估。基于基本块和性能参数信息捕获部件软错误易感性的阶段特性,并利用k路划分和回归树算法对部件的软错误易感性进行阶段划分。实验结果表明,结合性能参数信息和回归树算法能够最好地对软错误易感性的阶段特性进行识别。Recent studies on soft errors have focused on dynamic phase-based reliability management,with which system resources can be tuned at runtime according to different reliability characteristics of structures.Architectural vulnerability factor（AVF） is one of the most commonly used estimation metrics of a structure’s vulnerability.An effective and fast AVF analysis framework is developed and the AVF values for several key microarchitectures are evaluated.Furthermore,we used basic block profile and performance metrics information are used to characterize the reliability-based phase behavior of several key microarchitectures,and then k-means clustering and regression tree algorithms are applied for reliability-based phase classification.Experimental results show that the combination of performance metrics and regression tree method is a good candidate for soft error vulnerability phase identification.

关 键 词：阶段行为 阶段识别技术 可靠性评估 软错误 

分 类 号：TP3[自动化与计算机技术—计算机科学与技术]