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Parallel Computing Works! |
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Abstract<p>A clear illustration of how parallel computers can be successfully applied<br>to large-scale scientific computations. This book demonstrates how a<br>variety of applications in physics, biology, mathematics and other sciences<br>were implemented on real parallel computers to produce new scientific<br>results. It investigates issues of fine-grained parallelism relevant for<br>future supercomputers with particular emphasis on hypercube architecture.</p><br><br><p>The authors describe how they used an experimental approach to configure<br>different massively parallel machines, design and implement basic system<br>software, and develop algorithms for frequently used mathematical<br>computations. They also devise performance models, measure the performance<br>characteristics of several computers, and create a high-performance<br>computing facility based exclusively on parallel computers. By addressing<br>all issues involved in scientific problem solving, <i>Parallel Computing<br>Works!</i> provides valuable insight into computational science for large-scale<br>parallel architectures. For those in the sciences, the findings reveal the<br>usefulness of an important experimental tool. Anyone in supercomputing and<br>related computational fields will gain a new perspective on the potential<br>contributions of parallelism. Includes over 30 full-color illustrations.</p>
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