NDLI: Implementation and Performance Evaluation of XcalableMP: A Parallel Programming Language for Distributed Memory Systems

Content Provider	IEEE Xplore Digital Library
Author	Jinpil Lee Sato, M.
Copyright Year	2010
Abstract	Although MPI is a de-facto standard for parallel programming on distributed memory systems, writing MPI programs is often a time-consuming and complicated process. XcalableMP is a language extension of C and Fortran for parallel programming on distributed memory systems that helps users to reduce those programming efforts. XcalableMP provides two programming models. The first one is the global view model, which supports typical parallelization based on the data and task parallel paradigm, and enables parallelizing the original sequential code using minimal modification with simple, OpenMP-like directives. The other one is the local view model, which allows using CAF-like expressions to describe inter-node communication. Users can even use MPI and OpenMP explicitly in our language to optimize performance explicitly. In this paper, we introduce XcalableMP, the implementation of the compiler, and the performance evaluation result. For the performance evaluation, we parallelized HPCC Benchmark in XcalableMP. It shows that users can describe the parallelization for distributed memory system with a small modification to the original sequential code.
Starting Page	413
Ending Page	420
File Size	342864
Page Count	8
File Format	PDF
ISBN	9781424479184
ISSN	15302016
DOI	10.1109/ICPPW.2010.62
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2010-09-13
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Arrays Data models Benchmark testing Parallel programming Parallel processing Synchronization Parallel Programming Language High Performance Computing
Content Type	Text
Resource Type	Article

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