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Titlebook: High Performance Computing - HiPC 2004; 11th International C Luc Bougé,Viktor K. Prasanna Conference proceedings 2005 Springer-Verlag Berli

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發(fā)表于 2025-3-21 19:32:43 | 只看該作者 |倒序瀏覽 |閱讀模式
書目名稱High Performance Computing - HiPC 2004
副標題11th International C
編輯Luc Bougé,Viktor K. Prasanna
視頻videohttp://file.papertrans.cn/427/426318/426318.mp4
叢書名稱Lecture Notes in Computer Science
圖書封面Titlebook: High Performance Computing - HiPC 2004; 11th International C Luc Bougé,Viktor K. Prasanna Conference proceedings 2005 Springer-Verlag Berli
出版日期Conference proceedings 2005
關鍵詞Bluetooth; Cluster; QoS; WLAN; algorithms; configuration; distributed algorithms; distributed systems; evolu
版次1
doihttps://doi.org/10.1007/b104576
isbn_softcover978-3-540-24129-4
isbn_ebook978-3-540-30474-6Series ISSN 0302-9743 Series E-ISSN 1611-3349
issn_series 0302-9743
copyrightSpringer-Verlag Berlin Heidelberg 2005
The information of publication is updating

書目名稱High Performance Computing - HiPC 2004影響因子(影響力)




書目名稱High Performance Computing - HiPC 2004影響因子(影響力)學科排名




書目名稱High Performance Computing - HiPC 2004網絡公開度




書目名稱High Performance Computing - HiPC 2004網絡公開度學科排名




書目名稱High Performance Computing - HiPC 2004被引頻次




書目名稱High Performance Computing - HiPC 2004被引頻次學科排名




書目名稱High Performance Computing - HiPC 2004年度引用




書目名稱High Performance Computing - HiPC 2004年度引用學科排名




書目名稱High Performance Computing - HiPC 2004讀者反饋




書目名稱High Performance Computing - HiPC 2004讀者反饋學科排名




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DIET: Building Problem Solving Environments for the Gridlt upon servers managed through distributed scheduling agents for a better scalability. Clients ask to these scheduling components to find servers available (using some performance metrics and information about the location of data already on the network). Our target architecture is the grid which i
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The Future Evolution of High-Performance Microprocessors single-core complexity is now rapidly diminishing due to a number of factors. The increase in instructions per cycle from increases in sizes and numbers of functional units has plateaued. Meanwhile the increasing sizes of functional units and cores are beginning to have significant negative impacts
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Low Power Robust Computing have feature sizes of 30 nanometers, allowing for integration of billions of devices on a single die and enabling unforeseen computational capabilities. However, with growing levels of integration, power densities will also skyrocket to hundreds of Watts. In fact, Grove cites power consumption as a
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Efficient Secure Aggregation in Sensor Networkss that are relayed in the data aggregation hierarchy may need confidentiality. We present a secure data aggregation protocol for sensor networks that uses encryption for confidentiality, but without requiring decryption at intermediate nodes. A salient feature of the protocol is the use of two-hop p
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