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Algorithms and tools for parallel computing on heterogeneous clusters.

160021049X

Algorithms and tools for parallel computing on heterogeneous clusters.

Ed. by Frederic Desprez et al.

Nova Science Publishers

2007

101 pages

$59.00

Hardcover

QA76.88

Contributors examine the possibilities inherent in using a number of processors to keep track with the exponentially-increasing need for computing in support of large-scale phenomenon. They note this is difficult because when investigators use multiple processors they find it difficult to balance the computational load, a situation that can lead to unacceptably slow speeds. They propose state-of-the-art algorithms that are designed to be used in a variety of applications and libraries, covering parallel and distributed Java for heterogeneous systems, the optimization of dense linear algebra algorithms on heterogeneous machines, distributed process networks with COBRA, parallel adaptive mesh refinement with load balancing in a heterogeneous cluster, evaluation of DIET hierarchical metacomputing architecture, and utilization-based techniques for strategically mapping heterogeneous applications into the HiPer-D heterogeneous computing system.

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Publication:SciTech Book News
Article Type:Book Review
Date:Jun 1, 2007
Words:159
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