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SCIENTIFIC MODELING WITH MASSIVELY PARALLEL SIMD COMPUTERS
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DOI：10.1109/5.92050.png)
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摘要
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A great many scientific models possess a high degree of inherent parallelism. For simulation purposes this may often be exploited by employing a massively parallel SIMD computer. We describe one such computer, the distributed array processor (DAP), and discuss the optimal mapping of a typical problem onto the computer architecture to best exploit the model parallelism. By focussing on specific models currently under study, we exemplify the types of problem which benefit most from a parallel implementation. The extent of this benefit is considered relative to implementation on a machine of conventional architecture.
Keyword:
MOLECULAR-DYNAMICS
PHASE-TRANSITION
SIMULATION
PHYSICS
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期刊
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25.9
论文数:
9.9K
被引数:
4.5W
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MOLECULAR-DYNAMICS AND MONTE-CARLO SIMULATIONS IN SOLID-STATE AND ELEMENTARY PARTICLE PHYSICS.png)
PROCEEDINGS OF THE IEEE
PROCEEDINGS OF THE IEEEIF25.9
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