Abstract
Qualitative simulation is a rather new and challenging simulation paradigm. Its major strength is the prediction of all physically possible behaviors of a system given only weak and incomplete information about it. This strength is exploited more and more in applications like design, monitoring and fault diagnosis. However, the poor performance of current qualitative simulators complicates or even prevents their application in technical environments. This paper presents the development of a special-purpose computer architecture for the bestknown qualitative simulator QSIM. Two design methods are applied to improve the performance. Complex functions are parallelized and mapped onto a multiprocessor system. Less complex functions are accelerated by software to hardware migration; they are executed on specialized coprocessors.
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