Implementing parallelism in random discrete event-driven simulation

  • Marc Bumble
  • Lee Coraor
Workshop on Randomized Parallel Computing Panos Pardalos, University of Florida, Gainesville Sanguthevar Rajasekaran, University of Florida, Gainesville

DOI: 10.1007/3-540-64359-1_716

Part of the Lecture Notes in Computer Science book series (LNCS, volume 1388)
Cite this paper as:
Bumble M., Coraor L. (1998) Implementing parallelism in random discrete event-driven simulation. In: Rolim J. (eds) Parallel and Distributed Processing. IPPS 1998. Lecture Notes in Computer Science, vol 1388. Springer, Berlin, Heidelberg

Abstract

The inherently sequential nature of random discrete event-driven simulation has made parallel and distributed processing difficult. This paper presents a method of applying Reconfigurable Logic to gain some parallelism in event generation. Field Programmable Gate Arrays (FPGAs) are used to create a flexible and fast environment in which events may be generated according to various statistical models. The method presented accelerates both event generation and the elimination of some blocked events from the Event Queue.

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Copyright information

© Springer-Verlag 1998

Authors and Affiliations

  • Marc Bumble
    • 1
  • Lee Coraor
    • 1
  1. 1.The Pennsylvania State UniversityUniversity Park

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