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Knowledge-based environment for investigating multicomputer architectures
Authors:TG Kim  BP Zeigler
Affiliation:

Department of Electrical and Computer Engineering, University of Kansas, Lawrence, KS 66045, USA

Abstract:Multicomputers for massively parallel processing will eventually employ billions of processing elements, each of which will be capable of communicating with every other processing element. A knowledge-based modelling and simulation environment (KBMSE) for investigating such multicomputer architecture at a discrete-event system level is described. The KBMSE implements the discrete-event system specification (DEVS) formalism in an object-oriented programming system of Scheme (a Image dialect), which supports building models in a hierarchical, modular manner, a systems-oriented approach not possible in conventional simulation languages. The paper presents a framework for knowledge-based modelling and simulation by exemplifying modelling a hypercube multicomputer architecture in the KBMSE. The KBMSE has been tested on a variety of domains characterized by complex, hierarchical structures such as advanced multicomputer architectures, local area computer networks, intelligent multi-robot organizations, and biologically based life-support systems.
Keywords:multicomputers  parallel processing  knowledge-based environment  simulation modelling  architectures  object-oriented programming
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