On the optimization by redundancy using an extended LogP model

Abstract

We present a strategy for optimizing parallel algorithms introducing redundant computations. In order to calculate the optimal amount of redundancy, we generalize the LogP model to capture messages of varying sizes using functions instead of constants for the machine parameters. We validate our method for a wave simulation algorithm on a Parsytec PowerXplorer with eight processors and a workstation cluster with four workstations.