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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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书目名称High Performance Computing - HiPC 2004
副标题11th International C
编辑Luc Bougé,Viktor K. Prasanna
视频video
丛书名称Lecture Notes in Computer Science
图书封面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
关键词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

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书目名称High Performance Computing - HiPC 2004读者反馈学科排名




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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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