Abstract
Using graph-based representations of computation problems [1]–[3], the communication function of a “pseudo-general purpose,” massively parallel computing environment is discussed to help define technology-focussed realizations of that communication function. Compatible computation problems are neither constrained to highly regular structures (such as systolic arrays and their generalizations [4]) nor extended to the globally non-deterministic behavior of many general purpose problems [5]. A fully distributed [6], data driven [7] computing environment is assumed, emphasizing the impact of communications on algorithm execution [8]. Evolution of such massively concurrent computing environments is necessary to sustain the growth of computing power as device technologies approach fundamental limits on dimensional scaling and higher device performance [9],[10].
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Tewksbury, S.K., Hornak, L.A., Franzon, P. (1988). Future Physical Environments and Concurrent Computation. In: Tewksbury, S.K., Dickinson, B.W., Schwartz, S.C. (eds) Concurrent Computations. Springer, Boston, MA. https://doi.org/10.1007/978-1-4684-5511-3_5
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DOI: https://doi.org/10.1007/978-1-4684-5511-3_5
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