Vector And Parallel Computing
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Vector and Parallel Computing
Contains most of the invited appaers, a selection of the contributed papers and 5 student papers (33 in total).
Vector and Parallel Processing - VECPAR 2000
Author: Jose M.L.M. Palma
language: en
Publisher: Springer Science & Business Media
Release Date: 2001-04-18
This book constitutes the thoroughly refereed post-proceedings of the 4th International Conference on Vector and Parallel Processing, VECPAR 2000, held in Porto, Portugal, in June 2000. The 40 revised full papers presented were carefully selected and improved during two rounds of reviewing. The papers are orgainized in topical sections on computational grids - languages and tools in multiplatform environments, cellular automata and applications in computational physics, linear and non-linear algebra, imaging, and finite/discrete elements in engineering applications.
Introduction to Parallel and Vector Solution of Linear Systems
Author: James M. Ortega
language: en
Publisher: Springer Science & Business Media
Release Date: 2013-06-29
Although the origins of parallel computing go back to the last century, it was only in the 1970s that parallel and vector computers became available to the scientific community. The first of these machines-the 64 processor llliac IV and the vector computers built by Texas Instruments, Control Data Corporation, and then CRA Y Research Corporation-had a somewhat limited impact. They were few in number and available mostly to workers in a few government laboratories. By now, however, the trickle has become a flood. There are over 200 large-scale vector computers now installed, not only in government laboratories but also in universities and in an increasing diversity of industries. Moreover, the National Science Foundation's Super computing Centers have made large vector computers widely available to the academic community. In addition, smaller, very cost-effective vector computers are being manufactured by a number of companies. Parallelism in computers has also progressed rapidly. The largest super computers now consist of several vector processors working in parallel. Although the number of processors in such machines is still relatively small (up to 8), it is expected that an increasing number of processors will be added in the near future (to a total of 16 or 32). Moreover, there are a myriad of research projects to build machines with hundreds, thousands, or even more processors. Indeed, several companies are now selling parallel machines, some with as many as hundreds, or even tens of thousands, of processors.