Impacts of Three Soft-Fault Models on Hybrid Parallel Asynchronous Iterative Methods

Evan Coleman, Erik J. Jensen, M. Sosonkina
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引用次数: 3

Abstract

This study seeks to understand the soft error vulnerability of asynchronous iterative methods, with a focus on stationary iterative solvers such as Jacobi. The implementations make use of hybrid parallelism where the computational work is distributed over multiple nodes using MPI and parallelized on each node using openMP. A series of experiments is conducted to measure the impact of an undetected soft fault on an asynchronous iterative method, and to compare and contrast several techniques for simulating the occurrence of a fault and then recovering from the effects of the faults. The data shows that the two numerical soft-fault models tested here more consistently than a “bit-flip” model produce bad enough behavior to test a variety of recovery strategies, such as those based on partial checkpointing.
三种软故障模型对混合并行异步迭代方法的影响
本研究旨在了解异步迭代方法的软错误脆弱性,重点关注Jacobi等平稳迭代求解器。这些实现使用混合并行,其中计算工作使用MPI分布在多个节点上,并使用openMP在每个节点上并行化。进行了一系列实验,以测量未检测到的软故障对异步迭代方法的影响,并对几种模拟故障发生并从故障影响中恢复的技术进行了比较和对比。数据表明,这里测试的两种数值软断层模型比“位翻转”模型更一致,产生的不良行为足以测试各种恢复策略,例如基于部分检查点的恢复策略。
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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