Author: A. Chalmers
Edition:
Binding: Paperback
ISBN: 1850321353
Edition:
Binding: Paperback
ISBN: 1850321353
Intro to Problem Solving in Parallel Processing
This practical introduction shows how to solve complex problems on multiprocessor systems. Get Intro to Problem Solving in Parallel Processing computer books for free.
It examines the techniques involved, presents a methodology for applying them, and demonstrates how their correct usage should improve system performance. Case studies of real problems are also included. The text begins by covering the background to parallel processing, and then goes on to introduce the concepts of parallel problem implementation, providing guidelines for exploiting parallelism within a given problem. Techniques are presented for assisting in the implementation of one's own problem on a multiprocessor system, using case studies for illustration. The text concludes by unifying the ideas developed, and providing a methodology for complex Check Intro to Problem Solving in Parallel Processing our best computer books for 2013. All books are available in pdf format and downloadable from rapidshare, 4shared, and mediafire.
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It examines the techniques involved, presents a methodology for applying them, and demonstrates how their correct usage should improve system performance. Case studies of real problems are also included. The text begins by covering the background to parallel processing, and then goes on to introduce the concepts of parallel problem implementation, providing guidelines for exploiting parallelism within a given problem. Techniques are presented for assisting in the implementation of one's own problem on a multiprocessor system, using case studies for illustration t examines the techniques involved, presents a methodology for applying them, and demonstrates how their correct usage should improve system performance. Case studies of real problems are also included. The text begins by covering the background to parallel processing, and then goes on to introduce the concepts of parallel problem implementation, providing guidelines for exploiting parallelism within a given problem. Techniques are presented for assisting in the implementation of one's own problem on a multiprocessor system, using case studies for illustration. The text concludes by unifying the ideas developed, and providing a methodology for complex
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