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Last update: Apr 1, 2000

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Scalable Parallel Implementation of GEANT4 Using Commodity Hardware and Task Oriented Parallel C

George Alverson1, Luis Anchordoqui1, Gene Cooperman2, Victor Grinberg2, Thomas McCauley1, Steve Reucroft1, Edgar Salazar1, John Swain1
  1. Northeastern University, Department of Physics
  2. Northeastern University, College of Computer Science

Speaker: Gene Cooperman

  We describe a scalable parallelization of GEANT4 using commodity hardware in a collaborative effort between the College of Computer Science and the Department of Physics at Northeastern University. The system consists of a Beowulf cluster of 32 Pentium II processors with 128 MBytes of memory each, connected via ATM and fast Ethernet. The bulk of the parallelization is done using TOP-C (Task Oriented Parallel C), software widely used in the computational algebra community. TOP-C provides a flexible and powerful framework for parallel algorithm development, is easy to learn, and is available at no cost. Its task oriented nature allows one to parallelize legacy code while hiding the details of interprocess communications. Applications presented include fast interactive simulation of computationally intensive processes such as electromagnetic showers. General results are discussed and suggestions made for wider applications of TOP-C to other simulation problems as well as to pattern recognition in high energy physics.

Presentation:  Adobe Acrobat pdf Short Paper:  Adobe Acrobat pdf 

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