Abstract
Over the years, various programming techniques have been applied to get maximum performance out of high-end computers. Examples are vectorization and loop level parallelization on shared memory vector processors, and coarse-grained parallelism on distributed memory systems, like MPP computers and clusters of workstations. This paper discusses these programming techniques, using a simple but representative numerical example, concluding with the shared memory programming model of Convex Exemplar Series SPP systems. The architecture and programming model of this scalable parallel system will be discussed in some detail.
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References
Flynn, M. J., Very high speed computing systems, Proc. IEEE 14, 1966, pp. 1901–1909.
Convex Exemplar System Overview, First edition, Convex Press, March 1994.
Exemplar Architecture, First edition, Convex Press, November 1993.
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© 1994 Springer-Verlag Berlin Heidelberg
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Michielse, P. (1994). Programming the Convex Exemplar Series SPP system. In: Dongarra, J., Waśniewski, J. (eds) Parallel Scientific Computing. PARA 1994. Lecture Notes in Computer Science, vol 879. Springer, Berlin, Heidelberg. https://doi.org/10.1007/BFb0030166
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DOI: https://doi.org/10.1007/BFb0030166
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