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A number of parallel, MIMD architectures for continuous system simulation have been proposed, some designed and a few implemented [Korn,72], [Cyre et.al.,77], [Halin,et.al. 80] over the past few years. While these architectures vary in several aspects such as interconnection structures, processor components used etc., there is a strong similarity between them that arises from the problem at hand. This is the need for a controller or master processor that can control the flow of data between a group of subprocessors, and also initiate execution when required data are available. It is possible however to take a substantially different approach to the problem. In the data-flow approach [Rumbaugh,77], [Dennis,75] the data dependency of each instruction is explicit. An instruction gets executed only when the data for it are available. A general unrestricted data flow machine, while quite attractive, is a substantially difficult venture. But, with a few restrictions on the capability, a much less expensive machine is possible, that is still quite powerful for purposes such as continuous simulation. The present paper focuses on a survey and analysis of methods appropriate for continuous system simulation on such an architecture. However some key characteristics of this architecture must be appreciated before the analysis can be done.

Methods for system simulation on a restricted data flow architecture