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Titlebook: High Performance Computing for Computational Science - VECPAR 2012; 10th International C Michel Daydé,Osni Marques,Kengo Nakajima Conferenc

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書目名稱High Performance Computing for Computational Science - VECPAR 2012
副標(biāo)題10th International C
編輯Michel Daydé,Osni Marques,Kengo Nakajima
視頻videohttp://file.papertrans.cn/427/426340/426340.mp4
概述Fast conference proceedings.State-of-the-art report.Up to date results
叢書名稱Lecture Notes in Computer Science
圖書封面Titlebook: High Performance Computing for Computational Science - VECPAR 2012; 10th International C Michel Daydé,Osni Marques,Kengo Nakajima Conferenc
描述This book constitutes the thoroughly refereed post-conference proceedings of the 10th International Conference on High Performance Computing for Computational Science, VECPAR 2012, held in Kope, Japan, in July 2012. The 28 papers presented together with 7 invited talks were carefully selected during two rounds of reviewing and revision. The papers are organized in topical sections on CPU computing, applications, finite element method from various viewpoints, cloud and visualization performance, method and tools for advanced scientific computing, algorithms and data analysis, parallel iterative solvers on multicore architectures.
出版日期Conference proceedings 2013
關(guān)鍵詞data intensive computing; distributed computing; numerical algorithms; performance analysis; simulations
版次1
doihttps://doi.org/10.1007/978-3-642-38718-0
isbn_softcover978-3-642-38717-3
isbn_ebook978-3-642-38718-0Series ISSN 0302-9743 Series E-ISSN 1611-3349
issn_series 0302-9743
copyrightSpringer-Verlag Berlin Heidelberg 2013
The information of publication is updating

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Michel Daydé,Osni Marques,Kengo NakajimaFast conference proceedings.State-of-the-art report.Up to date results
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Toward a Theory of Algorithm-Architecture Co-designan algorithm on a supercomputer with respect to the physical constraints of energy, power, and die area. By “high-level,” we mean that we wish to explicitly relate characteristics of an algorithm, such as its inherent parallelism or memory and communication behavior, with parameters of an architectu
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Grand Challenge in Life Science on K Computerf Living Matter to reproduce life phenomena on a supercomputer for understanding them and developing new medicine or new treatments. We have 6 research teams: Molecular scale team, cell scale team, organ and body scale team, data analysis fusion team, brain and neural system team and HPC team. We ar
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