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Titlebook: Current Trends in High Performance Computing and Its Applications; Proceedings of the I Wu Zhang,Weiqin Tong,Roland Glowinski Conference pr

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書目名稱Current Trends in High Performance Computing and Its Applications
副標(biāo)題Proceedings of the I
編輯Wu Zhang,Weiqin Tong,Roland Glowinski
視頻videohttp://file.papertrans.cn/242/241452/241452.mp4
圖書封面Titlebook: Current Trends in High Performance Computing and Its Applications; Proceedings of the I Wu Zhang,Weiqin Tong,Roland Glowinski Conference pr
描述A large international conference on High Performance Computing and its - plications was held in Shanghai, China, August 8–10, 2004. It served as a forum to present current work by researchers and software developers from around the world as well as to highlight activities in the high performance computing area. It aimed to bring together research scientists, application - oneers,andsoftwaredeveloperstodiscussproblemsandsolutionsandtoid- tify new issues in this area. The conference focused on the design and analysis of high performance computing algorithms, tools, and platforms and their s- enti?c, engineering, medical, and industrial applications. It drew about 150 participants from Canada, China, Germany, India, Iran, Japan, Mexico, S- gapore, South Korea, the United Kingdom, and the United States of America. More than 170 papers were received on a variety of subjects in modern high performance computing and its applications, such as numerical and software algorithm design and analysis, grid computing advance, adaptive and par- lel algorithm development, distributing debugging tools, computational grid and network environment design, computer simulation and visualization, and comp
出版日期Conference proceedings 2005
關(guān)鍵詞Simulation; algorithm design and analysis; algorithms; calculus; communication; evolutionary algorithm; gr
版次1
doihttps://doi.org/10.1007/3-540-27912-1
isbn_softcover978-3-540-25785-1
isbn_ebook978-3-540-27912-9
copyrightSpringer-Verlag Berlin Heidelberg 2005
The information of publication is updating

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Computing the Least Squares Inverse of Sparse Matrices on a Network of Clusters heterogeneous environment. Due to the variation of number of non zero entries to be calculated row wise, as well as the difference of processor speeds, load imbalance may occur and have an impact on the performance. To improve the performance by keeping processors as busy as possible the redistribu
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