A three-phase workflow for general and expressive representations of nondeterminism in HPC applications

Author:

Chapp Dylan12ORCID,Rorabaugh Danny1ORCID,Sato Kento3,Ahn Dong H4,Taufer Michela1

Affiliation:

1. The Department of Electrical Engineering and Computer Science, University of Tennessee, Knoxville, TN, USA

2. The Department of Computer and Information Sciences, University of Delaware, Newark, DE, USA

3. RIKEN Center for Computational Science, Tokyo, Japan

4. Lawrence Livermore National Laboratory, Livermore, CA, USA

Abstract

Nondeterminism is an increasingly entrenched property of high-performance computing (HPC) applications and has recently been shown to seriously hamper debugging and reproducibility efforts. Tools for addressing the nondeterministic debugging problem have emerged, but they do not provide methods for systematically cataloging the nondeterminism in a given application. We propose a three-phase workflow for representing executions of nondeterministic message passing interface programs as event graphs, quantifying their structural similarity with graph kernels, and applying machine learning techniques to investigate shared properties across applications. We present an empirical study comparing two graph kernels’ suitability for this task and propose future uses of the methodology.

Funder

NSF

Publisher

SAGE Publications

Subject

Hardware and Architecture,Theoretical Computer Science,Software

Cited by 1 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Debugging MPI Implementations via Reduction-to-Primitives;2022 IEEE/ACM Third International Symposium on Checkpointing for Supercomputing (SuperCheck);2022-11

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