Abstract
We present and analyze two portable algorithms for the List Ranking Problem in the Coarse Grained Multicomputer model (CGM). We report on implementations of these algorithms and experiments that were done with these on a variety of parallel and distributed architectures, ranging from PC clusters to a mainframe parallel machine. With these experiments, we validate the chosen CGM model, and also show the possible gains and limits of such algorithms.
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