NDLI: Relative debugging for a highly parallel hybrid computer system

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Relative debugging for a highly parallel hybrid computer system

Content Provider	ACM Digital Library
Author	Gontarek, Andrew Moench, Robert Jin, Chao Abramson, David DeRose, Luiz Dinh, Minh Ngoc Vose, Aaron
Abstract	Relative debugging traces software errors by comparing two executions of a program concurrently - one code being a reference version and the other faulty. Relative debugging is particularly effective when code is migrated from one platform to another, and this is of significant interest for hybrid computer architectures containing CPUs accelerators or coprocessors. In this paper we extend relative debugging to support porting stencil computation on a hybrid computer. We describe a generic data model that allows programmers to examine the global state across different types of applications, including MPI/OpenMP, MPI/OpenACC, and UPC programs. We present case studies using a hybrid version of the `stellarator' particle simulation DELTA5D, on Titan at ORNL, and the UPC version of Shallow Water Equations on Crystal, an internal supercomputer of Cray. These case studies used up to 5,120 GPUs and 32,768 CPU cores to illustrate that the debugger is effective and practical.
Starting Page	1
Ending Page	12
Page Count	12
File Format	PDF
ISBN	9781450337236
DOI	10.1145/2807591.2807605
Language	English
Publisher	Association for Computing Machinery (ACM)
Publisher Date	2015-11-15
Publisher Place	New York
Access Restriction	Subscribed
Subject Keyword	Scalability Hybrid programming Parallel debugging
Content Type	Text
Resource Type	Article

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