Last update:
Apr 1, 2000
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Scalable Parallel Implementation of GEANT4 Using Commodity Hardware and
Task Oriented Parallel C
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George Alverson1,
Luis Anchordoqui1,
Gene Cooperman2,
Victor Grinberg2,
Thomas McCauley1,
Steve Reucroft1,
Edgar Salazar1,
John Swain1
- Northeastern University, Department of Physics
- 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:  | Short Paper: |
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