Robust non-intrusive record-replay with processor extraction

F. Gioachin, G. Zheng, L. Kalé
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引用次数: 6

Abstract

With the advent of increasingly larger parallel machines, debugging is becoming more and more challenging. In particular, applications at this scale tend to behave non-deterministically, leading to race condition bugs. Furthermore, gaining access to these large machines for long debugging sessions is generally infeasible. In this paper, we present a 3-step algorithm to perform what we call "processor extraction": a procedure to record the execution of a set of processors from a parallel application, and replay any of them in a controlled environment. Our technique generates very low interference in the recorded program thanks to the separation between non-determinism elimination, and detailed processor recording. In order to improve robustness and accuracy, we further augmented our algorithm with a self-correction mechanism.
鲁棒非侵入式记录重放与处理器提取
随着越来越大的并行机的出现,调试变得越来越具有挑战性。特别是,这种规模的应用程序往往表现得不确定,从而导致竞争条件错误。此外,为了长时间的调试会话而访问这些大型机器通常是不可行的。在本文中,我们提出了一个三步算法来执行我们所谓的“处理器提取”:一个记录并行应用程序中一组处理器的执行的过程,并在受控环境中重播它们中的任何一个。由于不确定性消除和详细的处理器记录之间的分离,我们的技术在记录程序中产生非常低的干扰。为了提高鲁棒性和准确性,我们进一步增强了算法的自校正机制。
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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