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Titlebook: Shared Memory Parallel Programming with Open MP; 5th International Wo Barbara M. Chapman Conference proceedings 2005 Springer-Verlag Berlin

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書目名稱Shared Memory Parallel Programming with Open MP
副標(biāo)題5th International Wo
編輯Barbara M. Chapman
視頻videohttp://file.papertrans.cn/867/866457/866457.mp4
叢書名稱Lecture Notes in Computer Science
圖書封面Titlebook: Shared Memory Parallel Programming with Open MP; 5th International Wo Barbara M. Chapman Conference proceedings 2005 Springer-Verlag Berlin
描述This book contains the Proceedings of the 5th Workshop on OpenMP Appli- tionsandTools(WOMPAT2004),whichtookplaceattheUniversityofHouston, Houston, Texas on May 17 and 18, 2004. Previous workshops in this series took place in Toronto, Canada, Fairbanks, Alaska, Purdue, Indiana, and San Diego, California.Thepurposeoftheworkshopwastobringtogetherusersanddevel- ers of the OpenMP API for shared memory parallel programming to disseminate their ideas and experiences and discuss the latest developments in OpenMP and its application. To support this aim, the program comprised a mixture of invited talks from research and industry, experience reports, and submitted papers, the last of which are presented in this volume. A tutorial introduction to OpenMP was held at the same location on May 18 by Ruud van der Pas from Sun Microsystems. Further, a two-day lab session called OMPlab was held immediately following the workshop and the tutorial on May 19 and 20, and was attended by both novice and advanced users. Many of the hardware vendors and several researchers gave in-depth tutorials on their softwareandmadetheirsystemsavailabletobothnoviceandadvancedattendees during OMPlab. Contributors to th
出版日期Conference proceedings 2005
關(guān)鍵詞Cluster; MPI; OpenMP; Scala; Variable; algorithms; architecture; calculus; open MP; open MP programs; parallel
版次1
doihttps://doi.org/10.1007/b105895
isbn_softcover978-3-540-24560-5
isbn_ebook978-3-540-31832-3Series ISSN 0302-9743 Series E-ISSN 1611-3349
issn_series 0302-9743
copyrightSpringer-Verlag Berlin Heidelberg 2005
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Shared Memory Parallel Programming with Open MP978-3-540-31832-3Series ISSN 0302-9743 Series E-ISSN 1611-3349
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Performance Analysis of Hybrid OpenMP/MPI N-Body Application,ology for the inner shared memory parallelism, allows to yield a hierarchically distributed-shared memory implementation of an algorithm presenting multiple levels of parallelism. The chosen application solves the well known N-body problem.
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What Multilevel Parallel Programs Do When You Are Not Watching: A Performance Analysis Case Study Cigms applicable to shared memory computer architectures. We describe how detailed analysis techniques help to differentiate between the influences of the programming model itself and other factors, such as implementation specific behavior of the operating system or architectural issues.
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Lecture Notes in Computer Sciencehttp://image.papertrans.cn/s/image/866457.jpg
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0302-9743 uston, Texas on May 17 and 18, 2004. Previous workshops in this series took place in Toronto, Canada, Fairbanks, Alaska, Purdue, Indiana, and San Diego, California.Thepurposeoftheworkshopwastobringtogetherusersanddevel- ers of the OpenMP API for shared memory parallel programming to disseminate thei
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Performance and Scalability of OpenMP Programs on the Sun FireTM E25K Throughput Computing Server,PARC III Cu based Sun Fire 15K server..Results show that base and peak ratios for the SPEC OMPL benchmarks increase by approximately 50% on the Sun Fire E25K server, compared to a Sun Fire 15K server with the same number of processors and with higher clock frequency.
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