Abstract
The parallel computing research in the Mathematics and Systems Engineering department of KSLA is concerned with applications, with programming methods and languages, and with hardware and systems software developments.
The parallel computers we are interested in consist of many processors with local memory. These machines offer supercomputing capabilities at such a favourable cost that we have started research to use them in a dedicated way for applications such as on-line plant optimisation, interactive fluid flow simulation for process design, combinatorial optimisation for supply and marketing decision support, and molecular modelling for product design. An important part of our research is concerned with the development of programming methods for parallel computers and with experiments to evaluate the use of parallel programming languages. The construction of a parallel program is difficult because the computational load must be divided over the processors in a well balanced way, without causing excessive communication overhead.
Despite of the fact that parallel programming requires highly specialistic skills, it is possible to make parallel computing available to the application oriented programmer or user. The main approach we have taken to achieve this is to develop libraries of parallel routines which can be called from programs in a sequential programming language like Pascal or FORTRAN, running on a sequential host computer.
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Keywords
- Cellular Automaton
- Parallel Computing
- Integer Optimisation Problem
- Parallel Programming Language
- System Software Development
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.
References
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P.J.M. van Laarhoven, E.H.L. Aarts Simulated annealing: Theory and Applications Reidel Dordrecht, 1987.
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© 1989 Springer-Verlag Berlin Heidelberg
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van Zee, G.A. (1989). Overview of the KSLA efforts in parallel computing. In: van Zee, G.A., van de Vorst, J.G.G. (eds) Parallel Computing 1988. Shell 1988. Lecture Notes in Computer Science, vol 384. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-51604-2_2
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DOI: https://doi.org/10.1007/3-540-51604-2_2
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