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Titlebook: High Performance Computing for Computational Science -- VECPAR 2014; 11th International C Michel Daydé,Osni Marques,Kengo Nakajima Conferen

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書目名稱High Performance Computing for Computational Science -- VECPAR 2014
副標題11th International C
編輯Michel Daydé,Osni Marques,Kengo Nakajima
視頻videohttp://file.papertrans.cn/427/426341/426341.mp4
概述Includes supplementary material:
叢書名稱Lecture Notes in Computer Science
圖書封面Titlebook: High Performance Computing for Computational Science -- VECPAR 2014; 11th International C Michel Daydé,Osni Marques,Kengo Nakajima Conferen
描述.This book constitutes the thoroughly refereed post-conference proceedings of the 11th International Conference on High Performance Computing for Computational Science, VECPAR 2014, held in Eugene, OR, USA, in June/July 2014.?.The 25 papers presented were carefully reviewed and selected of numerous submissions. The papers are organized in topical sections on algorithms for GPU and manycores, large-scale applications, numerical algorithms, direct/hybrid methods for solving sparse matrices, performance tuning. The volume also contains the papers presented at the 9th International Workshop on Automatic Performance Tuning..
出版日期Conference proceedings 2015
關鍵詞code generation; computations on matrices; computing methodologies; data intensive computing; distribute
版次1
doihttps://doi.org/10.1007/978-3-319-17353-5
isbn_softcover978-3-319-17352-8
isbn_ebook978-3-319-17353-5Series ISSN 0302-9743 Series E-ISSN 1611-3349
issn_series 0302-9743
copyrightSpringer International Publishing Switzerland 2015
The information of publication is updating

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Conference proceedings 2015submissions. The papers are organized in topical sections on algorithms for GPU and manycores, large-scale applications, numerical algorithms, direct/hybrid methods for solving sparse matrices, performance tuning. The volume also contains the papers presented at the 9th International Workshop on Automatic Performance Tuning..
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Fan Ye,Christophe Calvin,Serge G. Petitonry via a Web based medium or via a standalone CD ROM. Some lessons and experiences gained in developing knowledge based systems for the baking industry are explained and the benefits provided by this system are detailed.
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Futoshi Mori,Masaharu Matsumoto,Takashi Furumurainable value (a recentEuropean Directive could be leading mortgage lenders towards the use of sustainable valuations in preference to the open market value). In this paper, we present artificial neural networks, trained using national housing transaction timeseries data, which forecasts future trends within the housing market.
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Prasanna Balaprakash,Yuri Alexeev,Sheri A. Mickelson,Sven Leyffer,Robert Jacob,Anthony Craigal use of the capability ontologies in knowledge management. A software system for supporting capability management, based on a capability ontology and other, well defined specifications, can help an organisation to align the skills of current and future employees with the strategic business objectives.
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Using Random Butterfly Transformations to Avoid Pivoting in Sparse Direct Methodsithout pivoting with probability one. This approach has been successful for dense matrices; in this work, we investigate the sparse case. In particular, we address the issue of fill-in in the transformed system.
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