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Simulation of emission tomography using grid middleware for distributed computing

delete2004-09-01
delete14
PRE
AI
M
Michael G. Thomason *
R
R.F. Longton
J
Jens Gregor
G
Gary T. Smith
R
Robin Hutson
DOI:10.1016/j.cmpb.2004.02.003delete
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摘要

摘要

En 中文
SimSET is Monte Carlo simulation software for emission tomography. This paper describes a simple but effective scheme for parallel execution of SimSET using NetSolve, a client-server system for distributed computation. NetSolve (version 1.4.1) is grid middleware which enables a user (the client) to run specific computations remotely and simultaneously on a grid of networked computers (the servers). Since the servers do not have to be identical machines, computation may take place in a heterogeneous environment. To take advantage of diversity in machines and their workloads, a client-side scheduler was implemented for the Monte Carlo simulation. The scheduler partitions the total decay events by taking into account the inherent compute-speeds and recent average workloads, i.e., the scheduler assigns more decay events to processors expected to give faster service and fewer decay events to those expected to give slower service. When compute-speeds and sustained workloads are taken into account, the speed-up is essentially linear in the number of equivalent maximum-service processors. One modification in the SimSET code (version 2.6.2.3) was made to ensure that the total number of decay events specified by the user is maintained in the distributed simulation. No other modifications in the standard SimSET code were made. Each processor runs complete SimSET code for its assignment of decay events, independently of others running simultaneously. Empirical results are reported for simulation of a clinical-quality lung perfusion study. (C) 2004 Elsevier Ireland Ltd. All rights reserved.
Keyword:
distributed computing
emission tomography
grid middleware
Monte Carlo simulation
parallel computing
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Computer Methods and Programs in Biomedicine 封面图
Computer Methods and Programs in Biomedicine
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4.8
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7.0K
被引数:
2.1W

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