Abstract
Discusses a framework within which it is possible to compare the
overall performance of a wide variety of parallel computing systems. In
this context, a computing system comprises components at several levels
of abstraction, ranging from applications, through algorithms and
various levels of language, to hardware implementation. The basis of the
desired framework will be a series of classification schemes or
taxonomies, at the various levels of abstraction, together with a set of
mapping strategies that guide selection of appropriate options at each
level, top-down. At present, it is not feasible to address all levels
simultaneously, and so the author concentrates on the `lowest' level of
abstraction (i.e. the hardware implementation)
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