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Comparison of PGAS Languages on a Linked Cell Algorithm

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dc.contributor.authorBauer, Martin
dc.contributor.authorKuschel, Christian
dc.contributor.authorRitter, Daniel
dc.contributor.authorSembritzki, Klaus
dc.date.accessioned2017-12-06T09:07:46Z
dc.date.available2017-12-06T09:07:46Z
dc.date.issued2013
dc.description.abstractThe intention of partitioned global address space (PGAS) languages is to decrease developing time of parallel programs by abstracting the view on the memory and communication. Despite the abstraction a decent speed-up is promised. In this paper the performance and implementation time of Co-Array Fortran (CAF), Unified Parallel C (UPC) and Cascade High Productivity Language (Chapel) are compared by means of a linked cell algorithm. An MPI parallel reference implementation in C is ported to CAF, Chapel and UPC, respectively, and is optimized with respect to the available features of the corresponding language. Our tests show parallel programs are developed faster with the above mentioned PGAS languages as compared to MPI. We experienced a performance penalty for the PGAS versions that can be reduced at the expense of a similar programming effort as for MPI. Programmers should be aware that the utilization of PGAS languages may lead to higher administrative effort for compiling and executing programs on different super-computers.en
dc.identifier.doi10.1007/BF03354238
dc.identifier.pissn0177-0454
dc.identifier.urihttps://dl.gi.de/handle/20.500.12116/8605
dc.language.isoen
dc.publisherGesellschaft für Informatik e.V.
dc.relation.ispartofPARS: Parallel-Algorithmen, -Rechnerstrukturen und -Systemsoftware: Vol. 30, No. 1
dc.relation.ispartofseriesPARS: Parallel-Algorithmen, -Rechnerstrukturen und -Systemsoftware
dc.subjectDomain Decomposition
dc.subjectParallel Program
dc.subjectMessage Passing Interface
dc.subjectMessage Passing Interface Implementation
dc.subjectGlobal Address Space
dc.titleComparison of PGAS Languages on a Linked Cell Algorithmen
dc.typeText/Journal Article
gi.citation.endPage69
gi.citation.startPage58

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