机器检查错误诊断的有效性

Nikhil Pandit, Z. Kalbarczyk, R. Iyer
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引用次数: 6

摘要

MCA (Machine Check Architecture,机器检查体系结构)是处理器内部体系结构子系统,用于检测和记录每个CPU核心和北桥的数据或控制路径中的可纠正和不可纠正错误。这些错误包括与缓存、tlb相关的奇偶校验错误、与缓存和DRAM相关的ECC错误以及系统总线错误。本文报告了一项实验研究:(i)监控计算集群的机器检查,并使用这些数据来识别可用于错误诊断的模式;(ii)将故障引入机器以了解结果机器检查并将这些数据与相关性能指标相关联。
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Effectiveness of machine checks for error diagnostics
Machine Check Architecture (MCA) is a processor internal architecture subsystem that detects and logs correctable and uncorrectable errors in the data or control paths in each CPU core and the Northbridge. These errors include parity errors associated with caches, TLBs, ECC errors associated with caches and DRAM, and system bus errors. This paper reports on an experimental study on: (i) monitoring a computing cluster for machine checks and using this data to identify patterns that can be employed for error diagnostics and (ii) introducing faults into the machine to understand the resulting machine checks and correlate this data with relevant performance metrics.
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