Titlebook: Computer Engineering and Technology; 19th CCF Conference, Weixia Xu,Liquan Xiao,Chengyi Zhang Conference proceedings 2016 Springer-Verlag B

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书目名称Computer Engineering and Technology影响因子(影响力)




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书目名称Computer Engineering and Technology网络公开度学科排名




书目名称Computer Engineering and Technology被引频次




书目名称Computer Engineering and Technology被引频次学科排名




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书目名称Computer Engineering and Technology年度引用学科排名




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书目名称Computer Engineering and Technology读者反馈学科排名

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Conference proceedings 2016 October 2015. .The 18 papers presented were carefully reviewed and selected from 158 submissions. They are organized in topical sections on processor architecture; application specific processors; computer application and software optimization; technology on the horizon..

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https://doi.org/10.1007/978-4-431-53975-9 and expanded the design space of multi-core microprocessor floorplan. This work proposes a thermal-aware floorplanner for multi-core 3D ICs with interlayer cooling, with iterative algorithm based on simulated annealing method. The results show that the maximal temperature is reduced by 15.., and th

枫树

https://doi.org/10.1007/978-4-431-53975-9ne. This paper analysis the sensitivity conditions of several fault types not covered by the March C+ algorithm, and derived a new 22 N algorithm, March Y, which increase the fault coverage of WDF, CFdsxwx and CFwd. March Y has the same symmetry as the March C+ algorithm, and achieves the coverage o

枫树

Tax Policy in the Nordic Countriess. The researchers employ a variety of methods to reduce the influence of soft errors. Besides the lower delay and increasing bandwidth, 3D integration technology also has the ability of heterogeneous integration. STT-RAM is a new storage technology with broad prospects. The characteristic that STT-

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https://doi.org/10.1007/978-3-642-28317-8 reversal at input or output stage increases the difficulty for parallel I/O. In this paper, a new and simple generalized memory address transformation method supporting parallel accessing for computation is proposed to accelerate 2.-point Mixed-Radix FFT for memory-based FFT processors with SIMD ex

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Tax Progression in OECD Countriesy utilizing the tremendous memory bandwidth and the texture memory, the performance of this algorithm can be efficiently improved. Experimental results show that the performance of the proposed algorithm can be improved up to 8x times on Nvidia Tesla C2070, compared with the implementation on the In

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