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

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發(fā)表于 2025-3-21 17:21:01 | 只看該作者 |倒序?yàn)g覽 |閱讀模式
期刊全稱Architecture of Computing Systems - ARCS 2011
期刊簡(jiǎn)稱24th International C
影響因子2023Mladen Berekovic,William Fornaciari,Cristina Silva
視頻videohttp://file.papertrans.cn/162/161309/161309.mp4
發(fā)行地址Unique visibility.State-of-the-art research.Fast-track conference proceedings
學(xué)科分類Lecture Notes in Computer Science
圖書封面Titlebook: Architecture of Computing Systems - ARCS 2011; 24th International C Mladen Berekovic,William Fornaciari,Cristina Silva Conference proceedin
影響因子This book constitutes the refereed proceedings of the 24th International Conference on Architecture of Computing Systems, ARCS 2011, held in Lake Como, Italy, in February 2011. The 22 revised full papers presented in seven technical sessions were carefully reviewed and selected from 62 submissions. The papers are organized in topical sections on customization and application specific accelerators; multi/many-core architectures; adaptive system architectures; processor architectures; memory architectures optimization; organic and autonomic computing; network-on-chip architectures.
Pindex Conference proceedings 2011
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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
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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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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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