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