Future Trend of Parallel Computing in Computational Sciences

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概要

• 論文の詳細を見る

• Vast amount of computation is needed in large-scale scientific computing, especially fluid dynamics, electromagnetic fields, structural analysis, heat flow, climate modeling, multiparticle system, etc. In spite of the variety of such large-scale simulations, they have striking similarity on the level of numerical methods, i. e., most of the problems are formulated in terms of partial differential equations. Systems expressed and modeled as a partial differential equation have two remarkable characteristics: proximity and autonomity. High performance parallel processing should exploit those inherent parallelism.

• 理論物理学刊行会の論文
• 1996-07-25

著者

• OYANAGI Yoshio

  Department of Information Science, University of Tokyo

• Oyanagi Y

  Department Of Information Science University Of Tokyo

• Oyanagi Yoshio

  Department Of Information Science University Of Tokyo

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• Future Trend of Parallel Computing in Computational Sciences

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