Introduction

Abstract

Parallelism permeates all levels of current computing systems. It can be observed in systems as varied as multiple single-CPU machines, large server farms, and geographically dispersed “volunteers” who collaborate over the Internet. The effective use of parallelism depends crucially on the availability of faithful, yet tractable, models of computation for algorithm design and analysis and of efficient strategies for solving key computational problems on prominent classes of computing platforms. No less important are good models of the way the different components/subsystems of a platform are interconnected.

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