Download Algorithms and Architectures for Parallel Processing: 12th by Kazufumi Nishida, Koji Nakano, Yasuaki Ito (auth.), Yang PDF

By Kazufumi Nishida, Koji Nakano, Yasuaki Ito (auth.), Yang Xiang, Ivan Stojmenovic, Bernady O. Apduhan, Guojun Wang, Koji Nakano, Albert Zomaya (eds.)

The quantity set LNCS 7439 and 7440 contains the court cases of the twelfth foreign convention on Algorithms and Architectures for Parallel Processing, ICA3PP 2012, in addition to a few workshop papers of the CDCN 2012 workshop which used to be held at the side of this convention. The forty general paper and 26 brief papers integrated in those court cases have been rigorously reviewed and chosen from 156 submissions. The CDCN workshop attracted a complete of nineteen unique submissions, eight of that are integrated partially II of those court cases. The papers disguise many dimensions of parallel algorithms and architectures, encompassing primary theoretical ways, functional experimental effects, and advertisement parts and systems.

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Extra resources for Algorithms and Architectures for Parallel Processing: 12th International Conference, ICA3PP 2012, Fukuoka, Japan, September 4-7, 2012, Proceedings, Part I

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Fig. 5. normalized detection accuracy against the propability of the compromised nodes Security Computing for the Resiliency of Protecting from Internal Attacks 27 There are two charts the “case 1” is the sensors deployed in the smaller area (16×16) and the same sensors were distributed in the larger area (32×32) is the case of “case 2”. Due to the crowd sensors will impact each other by the interferences so the detection accuracy are impacted. 6 shows the situations about “normalized resiliency ration” vs.

A typical example for such a network is the future power system, smart grid [1-4]. Smart grid possesses processing units in each bus of the power system and every pair of buses connected by transmission line is linked by optical fiber. In other words, the smart grid can be viewed as a super computer, which is capable of performing the real-time computation. Fundamental issues in power system such as power flow, state estimation and optimal power flow [5-8] can be formulated as nonlinear network optimization problems.

Modern GPGPUs consist of hundreds of processing cores and provide the same computational power as a small cluster. Therefore, the required computational power of correction algorithms may be achieved using GPGPUs. In this paper, we evaluate the achievable performance for a short-range proximity effect correction algorithm using GPGPUs. Keywords: E-beam lithography, Proximity effect correction, PEC, short-range proximity effect, GPGPUs. 1 Introduction E-beam lithography is an advanced high resolution technique for writing circuit patterns onto substrates using electron beams.

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