GATE simulations on multicomputer architectures

GATE/Geant4 simulations are computationally demanding, requiring thousands of processor hours to produce realistic results. One of the difficulties in producing a truly parallel solution is that in PET simulations, events are NOT independent of each other completely. Photons that originate in a give...

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Bibliographic Details
Main Authors: Vega-Acevedo, Nicolas, Lanas, Ismael, Rannou, Fernando R.
Format: Conference Proceeding
Language:English
Subjects:
Application software
Computational modeling
Concurrent computing
Discrete event simulation
GATE
Medical simulation
Monte Carlo
Nuclear and plasma sciences
Parallel computing
Parallel processing
Particle tracking
Positron emission tomography
Single photon emission computed tomography
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Summary:GATE/Geant4 simulations are computationally demanding, requiring thousands of processor hours to produce realistic results. One of the difficulties in producing a truly parallel solution is that in PET simulations, events are NOT independent of each other completely. Photons that originate in a given time window must be simulated in the same processor so that they can be fed to the same coincidence processing chain. Otherwise, a centralized coincidence processing approach would incur in excessive communication overhead. The cluster solution for GATE was a first solution to tackle this problem, splitting the simulation in very large windows. Here we propose a truly parallel computational model that can handle singles and coincidences in a natural way, producing simulation results equivalent to its sequential counterpart. We show that the MPI implementation of this model speeds up almost linearly with the number of processors.
ISSN:1082-3654
2577-0829
DOI:10.1109/NSSMIC.2009.5401660