8th Ieee Symposium On Parallel And Distributed Processing
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8th IEEE Symposium on Parallel and Distributed Processing
Author:
language: en
Publisher: Institute of Electrical & Electronics Engineers(IEEE)
Release Date: 1996
Proceedings of the October 1996 symposium, with 84 papers in sections on applications, networks and routing, distributed systems, scheduling and data mapping, graph theory and networks, parallel architectures, wormhole routing, sorting and selection, synchronization techniques, load balancing, datab"
Parallel and Distributed Processing and Applications
Author: Ivan Stojmenovic
language: en
Publisher: Springer Science & Business Media
Release Date: 2007-08-14
This book constitutes the refereed proceedings of the 5th International Symposium on Parallel and Distributed Processing and Applications, ISPA 2007, held in Niagara Falls, Canada, in August 2007. The 83 revised full papers presented together with 3 keynote speeches were carefully reviewed and selected from 244 submissions. The papers are organized in topical sections on algorithms and applications, architectures and systems, datamining and databases, fault tolerance and security, middleware and cooperative computing, networks, as well as software and languages.
Performance Analysis and Grid Computing
Author: Vladimir Getov
language: en
Publisher: Springer Science & Business Media
Release Date: 2012-12-06
Past and current research in computer performance analysis has focused primarily on dedicated parallel machines. However, future applications in the area of high-performance computing will not only use individual parallel systems but a large set of networked resources. This scenario of computational and data Grids is attracting a great deal of attention from both computer and computational scientists. In addition to the inherent complexity of parallel machines, the sharing and transparency of the available resources introduces new challenges on performance analysis, techniques, and systems. In order to meet those challenges, a multi-disciplinary approach to the multi-faceted problems of performance is required. New degrees of freedom will come into play with a direct impact on the performance of Grid computing, including wide-area network performance, quality-of-service (QoS), heterogeneity, and middleware systems, to mention only a few.