Titlebook: Architecture of Computing Systems - ARCS 2011; 24th International C Mladen Berekovic,William Fornaciari,Cristina Silva Conference proceedin

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书目名称Architecture of Computing Systems - ARCS 2011影响因子(影响力)




书目名称Architecture of Computing Systems - ARCS 2011影响因子(影响力)学科排名




书目名称Architecture of Computing Systems - ARCS 2011网络公开度




书目名称Architecture of Computing Systems - ARCS 2011网络公开度学科排名




书目名称Architecture of Computing Systems - ARCS 2011被引频次




书目名称Architecture of Computing Systems - ARCS 2011被引频次学科排名




书目名称Architecture of Computing Systems - ARCS 2011年度引用




书目名称Architecture of Computing Systems - ARCS 2011年度引用学科排名




书目名称Architecture of Computing Systems - ARCS 2011读者反馈




书目名称Architecture of Computing Systems - ARCS 2011读者反馈学科排名

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危机

https://doi.org/10.1007/978-3-319-11322-7and the host system do not share a common memory. Sourcing out the data to the additional hardware thus introduces a communication penalty. Based on a combination of a program’s source code and execution profiling we perform an analysis which evaluates the arithmetic intensity as a cost function to

异端邪说2

https://doi.org/10.1007/978-3-319-11322-7essor architecture, taking into consideration critical parameters such as cache bandwidth and memory latency. We compare the performance of 256 Polymorphic Register File-augmented workers against a single Cell PowerPC Processor Unit (PPU). In such a scenario, simulation results suggest that for the

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TOXIC

https://doi.org/10.1007/978-1-349-00271-9 and power analysis of general purpose many-core chips using this law, we carry out an analysis aiming at many-core SoCs integrating processors sharing the same core instruction set but each potentially having additional extensions. For SoCs targeting well defined classes of applications, higher per

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