Abstract
The meshless strategy of CAE problem partitioning is presented. It offers significant decrement of time complexity in comparison with usual mesh decomposition algorithms, and therefore may be applied in on-line processing. The effective IE graph solid representation is applied as well as the stochastic performance forecast system for parallel MIMD computer nodes. The main scaling problem is formulated as the optimal fuzzy graph matching and it is proposed to be solved by efficient ETPL(k) parsers.
The research was supported from the ESPRIT Project 20288-13.
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Ā© 1998 Springer-Verlag Berlin Heidelberg
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FlasiƱski, M., Schaefer, R., Toporkiewicz, W. (1998). Optimal Stochastic Scaling of CAE Parallel Computations. In: Polkowski, L., Skowron, A. (eds) Rough Sets and Current Trends in Computing. RSCTC 1998. Lecture Notes in Computer Science(), vol 1424. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-69115-4_77
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DOI: https://doi.org/10.1007/3-540-69115-4_77
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