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ABSTRACT
A number of different models of synchronous, unbounded parallel computers have appeared in recent literature. Without exception, running time on these models has been shown to be polynomially related to the classical space complexity measure. The general applicability of this relationship is called “the parallel computation thesis” and strong evidence of its truth is given in this paper by introducing the notion of “conglomerates” - a very large class of parallel machines, including all those which could feasibly be built. Basic parallel machine models are also investigated, in an attempt to pin down the notion of parallel time to within a constant factor. To this end, a universal conglomerate structure is developed with can simulate any other basic model within linear time. This approach also leads to fair estimates of instruction execution times for various parallel models.
REFERENCES
Note: OCR errors may be found in this Reference List extracted from the full text article. ACM has opted to expose the complete List rather than only correct and linked references.
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CITED BY 13
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A. Borodin , J. E. Hopcroft, Routing, merging and sorting on parallel models of computation, Proceedings of the fourteenth annual ACM symposium on Theory of computing, p.338-344, May 05-07, 1982, San Francisco, California, United States
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