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XcalableMP PGAS Programming Language - From Programming Model to Applications (Paperback, 1st ed. 2021)
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XcalableMP PGAS Programming Language - From Programming Model to Applications (Paperback, 1st ed. 2021)
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XcalableMP is a directive-based parallel programming language based
on Fortran and C, supporting a Partitioned Global Address Space
(PGAS) model for distributed memory parallel systems. This open
access book presents XcalableMP language from its programming model
and basic concept to the experience and performance of applications
described in XcalableMP. XcalableMP was taken as a parallel
programming language project in the FLAGSHIP 2020 project, which
was to develop the Japanese flagship supercomputer, Fugaku, for
improving the productivity of parallel programing. XcalableMP is
now available on Fugaku and its performance is enhanced by the
Fugaku interconnect, Tofu-D. The global-view programming model of
XcalableMP, inherited from High-Performance Fortran (HPF), provides
an easy and useful solution to parallelize data-parallel programs
with directives for distributed global array and work distribution
and shadow communication. The local-view programming adopts coarray
notation from Coarray Fortran (CAF) to describe explicit
communication in a PGAS model. The language specification was
designed and proposed by the XcalableMP Specification Working Group
organized in the PC Consortium, Japan. The Omni XcalableMP compiler
is a production-level reference implementation of XcalableMP
compiler for C and Fortran 2008, developed by RIKEN CCS and the
University of Tsukuba. The performance of the XcalableMP program
was used in the Fugaku as well as the K computer. A performance
study showed that XcalableMP enables a scalable performance
comparable to the message passing interface (MPI) version with a
clean and easy-to-understand programming style requiring little
effort.
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