Root-cause analysis for memory-locked errors

John Adler, Djordje Maksimovic, A. Veneris
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Abstract

Half of the time in the design cycle today is spent on verifying and debugging the correctness of a design. Although some debugging tasks have been automated, determining the root-cause of errors that have been locked in memory for a number of clock cycles before they propagate to an observation point remains a time consuming effort. This is because the error traces exposing such behavior can be excessively long, a fact that requires modeling the circuit for many time-frames. This paper introduces a performance-driven debugging methodology for pinpointing the root-cause of memory-locked errors. The technique models only a sliding time window and a final time window explicitly at any one time, while interstitial time-frames are linked with a lightweight memory model. This technique is later extended to a complete methodology that diagnoses errors that may be missed. Experiments on industrial designs with memory-locked errors demonstrate a 72% reduction in peak memory usage with a comparable runtime to existing methodologies.
内存锁定错误的根本原因分析
如今,设计周期中有一半的时间花在验证和调试设计的正确性上。尽管一些调试任务已经自动化,但是在错误传播到观察点之前,确定在内存中锁定了许多时钟周期的错误的根本原因仍然是一项耗时的工作。这是因为暴露这种行为的错误跟踪可能会过长,这就需要对多个时间框架的电路进行建模。本文介绍了一种性能驱动的调试方法,用于查明内存锁定错误的根本原因。该技术只对任意时刻的滑动时间窗口和最终时间窗口进行显式建模,而间隙时间框架则与轻量级内存模型相关联。这项技术后来被扩展为一种完整的方法,用于诊断可能被遗漏的错误。对具有内存锁定错误的工业设计进行的实验表明,在与现有方法相当的运行时下,峰值内存使用减少了72%。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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