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Titlebook: High Performance Computing - HiPC 2007; 14th International C Srinivas Aluru,Manish Parashar,Viktor K. Prasanna Conference proceedings 2007

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發(fā)表于 2025-3-21 17:11:27 | 只看該作者 |倒序瀏覽 |閱讀模式
書目名稱High Performance Computing - HiPC 2007
副標(biāo)題14th International C
編輯Srinivas Aluru,Manish Parashar,Viktor K. Prasanna
視頻videohttp://file.papertrans.cn/427/426395/426395.mp4
叢書名稱Lecture Notes in Computer Science
圖書封面Titlebook: High Performance Computing - HiPC 2007; 14th International C Srinivas Aluru,Manish Parashar,Viktor K. Prasanna Conference proceedings 2007
出版日期Conference proceedings 2007
關(guān)鍵詞FPGA; Hochleistungsrechnen; ad-doc networks; algorithms; cluster computing; compiler optimizations; comput
版次1
doihttps://doi.org/10.1007/978-3-540-77220-0
isbn_softcover978-3-540-77219-4
isbn_ebook978-3-540-77220-0Series ISSN 0302-9743 Series E-ISSN 1611-3349
issn_series 0302-9743
copyrightSpringer-Verlag Berlin Heidelberg 2007
The information of publication is updating

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Reducing the I/O Volume in an Out-of-Core Sparse Multifrontal Solvert method to solve large-scale problems efficiently. Experiments on large real-life problems also show that the volume of . obtained when minimizing the storage requirement can be significantly reduced by applying algorithms designed to reduce the . volume.
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A Speed-Area Optimization of Full Search Block Matching Hardware with Applications in High-Definitioed approaches has also been outlined. The highlight of the proposed architecture is its split pipelined design to facilitate parallel processing of macroblocks (MBs) in the initial stages. The proposed hardware has high throughput, low silicon area and compares favorably with other existing FPGA architectures.
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High Performance Data Mining - Application for Discovery of Patterns in the Global Climate Systemnsists of methods that discover interesting, non-trivial, and useful patterns hidden in the data. This talk will provide an overview of a number of data mining research in our group for understanding patterns in global climate system and computational challenges in addressing them.
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