Titlebook: Euro-Par 2010, Parallel Processing Workshops; HeteroPAR, HPCC, HiB Mario R. Guarracino,Frédéric Vivien,Michael Alexan Conference proceeding

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书目名称Euro-Par 2010, Parallel Processing Workshops影响因子(影响力)




书目名称Euro-Par 2010, Parallel Processing Workshops影响因子(影响力)学科排名




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书目名称Euro-Par 2010, Parallel Processing Workshops网络公开度学科排名




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书目名称Euro-Par 2010, Parallel Processing Workshops被引频次学科排名




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书目名称Euro-Par 2010, Parallel Processing Workshops年度引用学科排名




书目名称Euro-Par 2010, Parallel Processing Workshops读者反馈




书目名称Euro-Par 2010, Parallel Processing Workshops读者反馈学科排名

业余爱好者

https://doi.org/10.1007/978-3-658-31971-7imulation results of 32-core CMPs show that degradations of up to 32% in performance and 350% in network traffic are experienced. Additionally, since some proposals for efficient multicast support in on-chip networks have recently appeared, we also consider the case of using this support in combinat

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“Single-chip Cloud Computer”, an IA Tera-scale Research Processory being used by a worldwide community of academic and industry co-travelers. This talk will describe the architecture of the SCC platform and discuss its role in the broader context of our Tera-scale research. For more information, see 

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细颈瓶

0302-9743 of the workshops of the 16th International Conference on Parallel Computing, Euro-Par 2010, held in Ischia, Italy, in August/September 2010. The papers of these 9 workshops HeteroPar, HPCC, HiBB, CoreGrid, UCHPC, HPCF, PROPER, CCPI, and VHPC focus on promotion and advancement of all aspects of paral

MIR

https://doi.org/10.1007/978-3-0348-6650-7links with different latencies and bandwidths. Traditional parallel algorithms and tools are aimed at homogeneous multiprocessors and cannot be efficiently used for parallel computing on heterogeneous networks. New ideas, dedicated algorithms and tools are needed to efficiently use this new type of parallel architecture.

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Grenzen und Chancen der Medikalisierung,mance execution of Java applications on modern shared and distributed memory architectures. In this paper we present results of programming and executing a three-dimensional ray tracing application on a heterogeneous many-core cluster architecture.

木讷

https://doi.org/10.1007/978-3-322-98791-4oming years therefore is the design of highly parallel single-chip architectures that can support manageable programming abstractions to allow the mainstream programmer to take advantage of the processing power furthered by the technological developments.

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