Debugging high-performance computing applications at massive scales-Reference-Cited by-同舟云学术

Debugging high-performance computing applications at massive scales

Published:2015-08-24 Issue:9 Volume:58 Page:72-81
ISSN:0001-0782
Container-title:Communications of the ACM
language:en
Short-container-title:Commun. ACM

Author:

Laguna Ignacio¹,Ahn Dong H.¹,de Supinski Bronis R.¹,Gamblin Todd¹,Lee Gregory L.¹,Schulz Martin¹,Bagchi Saurabh²,Kulkarni Milind²,Zhou Bowen³,Chen Zhezhe⁴,Qin Feng⁵

Affiliation:

1. Lawrence Livermore National Laboratory, Livermore, CA

2. Purdue University, West Lafayette, IN

3. Turn, Redwood City, CA

4. Twitter Inc., San Francisco, CA

5. The Ohio State University, Columbus, OH

Abstract

Dynamic analysis techniques help programmers find the root cause of bugs in large-scale parallel applications.

Funder

National Science Foundation

U.S. Department of Energy by Lawrence Livermore National Laboratory

Publisher

Association for Computing Machinery (ACM)

Subject

General Computer Science

Link

https://dl.acm.org/doi/pdf/10.1145/2667219

Reference29 articles.

1. Overcoming Scalability Challenges for Tool Daemon Launching

2. Stack Trace Analysis for Large Scale Debugging

3. AutomaDeD: Automata-based debugging for dissimilar parallel tasks

4. Symbolic execution for software testing

5. FlowChecker: Detecting Bugs in MPI Libraries via Message Flow Checking

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