NDLI: Automatic Generation of Executable Communication Specifications from Parallel Applications

Content Provider	IEEE Xplore Digital Library
Author	Xing Wu Mueller, F. Pakin, S.
Copyright Year	2011
Abstract	Portable parallel benchmarks are widely used and highly effective for (a) the evaluation, analysis and procurement of high-performance computing (HPC) systems and (b) quantifying the potential benefits of porting applications for new hardware platforms. Yet, past techniques to synthetically parametrized hand-coded HPC benchmarks prove insufficient for today's rapidly-evolving scientific codes particularly when subject to multi-scale science modeling or when utilizing domain-specific libraries. To address these problems, this work contributes novel methods to automatically generate highly portable and customizable communication benchmarks from HPC applications. We utilize ScalaTrace, a lossless, yet scalable, parallel application tracing framework to collect selected aspects of the run-time behavior of HPC applications. We subsequently generate benchmarks with identical run-time behavior from the collected traces in the CONCEPTUAL language, a domain-specific language that enables the expression of sophisticated communication patterns using a rich and easily understandable grammar yet compiles to ordinary C+MPI. Experimental results demonstrate that the generated benchmarks are able to preserve the run-time behavior of the original applications. This ability to automatically generate performance-accurate benchmarks from parallel applications is novel and without any precedence, to our knowledge.
Starting Page	2089
Ending Page	2092
File Size	728813
Page Count	4
File Format	PDF
ISBN	9781612844251
ISSN	15302075
DOI	10.1109/IPDPS.2011.384
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2011-05-16
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Computer science Peer to peer computing Scalability Benchmark testing Generators Electronic mail Kernel
Content Type	Text
Resource Type	Article

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