Introduction

  • Kunal Agarwal
  • Panagiota Fatourou
  • Arnold L. Rosenberg
  • Frédéric Vivien
Part of the Lecture Notes in Computer Science book series (LNCS, volume 6853)

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.

Keywords

Schedule Algorithm Computing Platform Desktop Grid Schedule Batch Multicore Architecture 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

Copyright information

© Springer-Verlag Berlin Heidelberg 2011

Authors and Affiliations

  • Kunal Agarwal
  • Panagiota Fatourou
  • Arnold L. Rosenberg
  • Frédéric Vivien

There are no affiliations available

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