Download e-book for kindle: Advanced Parallel Processing Technologies: 5th International by Xiaofeng Hu, Zhigang Sun, Xicheng Lu, Jinshu Su (auth.),

By Xiaofeng Hu, Zhigang Sun, Xicheng Lu, Jinshu Su (auth.), Xingming Zhou, Ming Xu, Stefan Jähnichen, Jiannong Cao (eds.)

ISBN-10: 3540200541

ISBN-13: 9783540200543

This quantity comprises the papers provided on the fifth foreign Workshop on complicated Parallel Processing applied sciences, APPT 2003. This sequence of workshops is designed to bolster the cooperation among the German and chinese language associations lively within the sector of those applied sciences. It has persisted to develop, delivering a very good discussion board for reporting advances in parallel processing applied sciences. The fifth workshop itself addressed the whole gamut of similar subject matters, starting from the architectural features of parallel computing device and procedure software program to the utilized applied sciences for novel functions. For this workshop, we bought over 191 complete submissions from researchers around the world. all of the papers have been peer-reviewed intensive and qualitatively graded on their relevance, originality, signi?cance, presentation, and the final appropriateness for his or her popularity. Any issues raised have been mentioned within the application committee. The organizing committee did a good task in picking seventy eight papers (Among them, 21 have been brief ones) for presentation. in brief, the papers incorporated the following signify the vanguard of analysis from China, Germany, and the opposite countries.

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Additional info for Advanced Parallel Processing Technologies: 5th International Workshop, APPT 2003, Xiamen, China, September 17-19, 2003. Proceedings

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APPT 2003, LNCS 2834, pp. 23–30, 2003. © Springer-Verlag Berlin Heidelberg 2003 24 X. Zhou and Z. Tang In this paper, Section II simply introduces the process of floating-point multiplication. In section III, a new architecture of floating-point multiplier is proposed. Section IV describes the simulation and verification of this floating-point multiplier, and comparing it with other architectures under the same technique. Section V draws a conclusion. 2 Related Work There are two people contributing great to fast multiplication.

It needs support from back-end. And the throughput of floating-point multiplication instruction is reduced by occupying the adder-tree two cycles. A New Architecture of a Fast Floating-Point Multiplier 25 3 New Architecture of Floating-Point Multiplier The conclusion can be educed from the analysis of the second part; the half-size multiplier tree has some strongpoint comparing with the full-size multiplier tree, such as small area and fast speed. But the full-size multiplier tree can execute instructions with high efficiency.

So, at present, the way of making the store and fetch data on the disk and its corresponding speed are the main factor of the sub-system efficiency as well as efficiency of the whole system. However, the embedded OS of the FC-SAN storage device stated above is based on LINUX subdivision and supports RAMDISK and INITRD mechanism, thereby can be applied as the ultimate storage sub-system based on DISK of RAM. Generally the size of RAMDISK in I/O controller has a capacity between 512MB and 4GB, which makes the way of operating in memory most suitable for small file reading and writing, and file attribution operations.

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Advanced Parallel Processing Technologies: 5th International Workshop, APPT 2003, Xiamen, China, September 17-19, 2003. Proceedings by Xiaofeng Hu, Zhigang Sun, Xicheng Lu, Jinshu Su (auth.), Xingming Zhou, Ming Xu, Stefan Jähnichen, Jiannong Cao (eds.)

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