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

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 th...

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Published in:2010 39th International Conference on Parallel Processing Workshops pp. 413 - 420
Main Authors: Jinpil Lee, Sato, Mitsuhisa
Format: Conference Proceeding
Language:English
Published: IEEE 01.09.2010
Subjects:
Arrays
Benchmark testing
Data models
High Performance Computing
Parallel processing
Parallel programming
Parallel Programming Language
Synchronization
ISBN:1424479185, 9781424479184
ISSN:0190-3918
Online Access:Get full text
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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.
AbstractList 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.
Author Jinpil Lee
Sato, Mitsuhisa
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  surname: Jinpil Lee
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  givenname: Mitsuhisa
  surname: Sato
  fullname: Sato, Mitsuhisa
  email: msato@hpcs.cs.tsukuba.ac.jp
  organization: Center for Comput. Sci., Univ. of Tsukuba, Tsukuba, Japan
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Snippet Although MPI is a de-facto standard for parallel programming on distributed memory systems, writing MPI programs is often a time-consuming and complicated...
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StartPage 413
SubjectTerms Arrays
Benchmark testing
Data models
High Performance Computing
Parallel processing
Parallel programming
Parallel Programming Language
Synchronization
Title Implementation and Performance Evaluation of XcalableMP: A Parallel Programming Language for Distributed Memory Systems
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