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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.
Parallel Language and Compiler Research in Japan offers the
international community an opportunity to learn in-depth about key
Japanese research efforts in the particular software domains of
parallel programming and parallelizing compilers. These are
important topics that strongly bear on the effectiveness and
affordability of high performance computing systems. The chapters
of this book convey a comprehensive and current depiction of
leading edge research efforts in Japan that focus on parallel
software design, development, and optimization that could be
obtained only through direct and personal interaction with the
researchers themselves.
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A Practical Programming Model for the Multi-Core Era - International Workshop on OpenMP, IWOMP 2007 Beijing, China, June 3-7, 2007, Proceedings (Paperback, 2008 ed.)
Barbara Chapman, Weimin Zheng, Guang R. Gao, Mitsuhisa Sato, Eduard Ayguade, …
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R1,557
Discovery Miles 15 570
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Ships in 10 - 15 working days
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The Third International Workshop on OpenMP, IWOMP 2007, was held at
Beijing, China.This year'sworkshopcontinuedits traditionofbeingthe
premier opportunity to learn more about OpenMP, to obtain practical
experience and to interact with OpenMP users and developers. The
workshop also served as a forum for presenting insights gained by
practical experience, as well as research ideas and results related
to OpenMP. A total of 28 submissions were received in response to a
call for papers. Each
submissionwasevaluatedbythreereviewersandadditionalreviewswerereceived
for some papers. Based on the feedback received, 22 papers were
accepted for inclusion in the proceedings. Of the 22 papers, 14
were accepted as full papers. We also accepted eight short papers,
for each of which there was an opportunity to givea
shortpresentationat the workshop, followed byposter demonstrations.
Each paper was judged according to its originality, innovation,
readability, and relevance to the expected audience. Due to the
limited scope and time of the workshop and the high number of
submissions received, only 50% of the total submissions were able
to be included in the ?nal program. In addition to the contributed
papers, the IWOMP 2007 program featured several keynote and banquet
speakers: Trevor Mudge, Randy Brown, and Shah, Sanjiv. These
speakers were selected due to their signi?cant contributions and
reputation in the ?eld. A tutorial session and labs were also
associated with IWOMP 2007.
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High Performance Computing - 4th International Symposium, ISHPC 2002, Kansai Science City, Japan, May 15-17, 2002. Proceedings (Paperback, 2002 ed.)
Hans P. Zima, Kazuki Joe, Mitsuhisa Sato, Yoshiki Seo, Masaaki Shimasaki
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R3,048
Discovery Miles 30 480
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Ships in 10 - 15 working days
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This book constitutes the refereed proceedings of the 4th International Symposium on High Performance Computing, ISHPC 2002, held in Kansai Science City, Japan, in May 2002 together with the two workshops WOMPEI 2002 and HPF/HiWEP 2002.The 51 revised papers presented were carefully reviewed and selected for inclusion in the proceedings. The book is organized in topical sections on networks, architectures, HPC systems, Earth Simulator, OpenMP-WOMPEI 2002, and HPF-HiWEP 2002.
Parallel Language and Compiler Research in Japan offers the
international community an opportunity to learn in-depth about key
Japanese research efforts in the particular software domains of
parallel programming and parallelizing compilers. These are
important topics that strongly bear on the effectiveness and
affordability of high performance computing systems. The chapters
of this book convey a comprehensive and current depiction of
leading edge research efforts in Japan that focus on parallel
software design, development, and optimization that could be
obtained only through direct and personal interaction with the
researchers themselves.
Covering research topics from system software such as programming
languages, compilers, runtime systems, operating systems,
communication middleware, and large-scale file systems, as well as
application development support software and big-data processing
software, this book presents cutting-edge software technologies for
extreme scale computing. The findings presented here will provide
researchers in these fields with important insights for the further
development of exascale computing technologies.This book grew out
of the post-peta CREST research project funded by the Japan Science
and Technology Agency, the goal of which was to establish software
technologies for exploring extreme performance computing beyond
petascale computing. The respective were contributed by 14 research
teams involved in the project. In addition to advanced technologies
for large-scale numerical computation, the project addressed the
technologies required for big data and graph processing, the
complexity of memory hierarchy, and the power problem. Mapping the
direction of future high-performance computing was also a central
priority.
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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