Flow-Thru Processing concept and its application to soft-computing

doi:10.1016/S0045-7906(97)00038-4

Flow-Thru Processing concept and its application to soft-computing

1998-01-01

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DOI：10.1016/S0045-7906(97)00038-4

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This paper first presents a new system design paradigm by which unified functional specifications of a system are made possible by introducing data-driven interpretation of a set of multi-lateral graphical descriptions equally applicable for software and hardware portions of the system implementation. It is also presented that the software portions of the system specifications are directly convertible into executable target programs on data-driven processors without losing any structural features inherently built into the original system specifications. Then, the data-driven processors are shown to be realizable by a self-timed pipeline structure naturally suitable for ULSI realizations in terms of power consumption and latency tolerance. Therefore, if the hardware portions of the system are also implemented by the same self-timed configuration, it is possible to realize a seamless unification of the software and hardware functions of the system on a single chip. Finally some examples of system realization are presented with special emphasis on possible applications to soft-computing such as genetic algorithms. (C) 1998 Elsevier Science Ltd, All rights reserved.

Keywords:

Flow-Thru Processing

self-timed logic

elastic pipeline

Catalytic Ring structure

dynamic data-driven processor

soft-computing

Flow-Thru Processing concept and its application to soft-computing

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