Abstract
Beside experiment and theory, computational science is a new methodology, for the advance in research and development in natural and engineering sciences. In many fields numerical simulation becomes more and more important for industrial development and production (e.g. car builders, aircraft industry). By numerical simulation, the development of new products becomes less expensive, less time consuming and often more suitable physical properties can be obtained. Examples for compute-intensive numerical simulation such as from computational fluid dynamics, large scale integrated circuits, chemistry and other are being discussed. Furthermore, it is shown that appropriate numerical techniques together with suitably structured high performance multiprocessor systems represent powerful tools for large parallel computing.
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Fritsch, G. (1987). Numerical simulation of physical phenomena by parallel computing. In: Becker, J.D., Eisele, I. (eds) WOPPLOT 86 Parallel Processing: Logic, Organization, and Technology. WOPPLOT 1986. Lecture Notes in Computer Science, vol 253. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-18022-2_4
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DOI: https://doi.org/10.1007/3-540-18022-2_4
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