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Simulation of emission tomography using grid middleware for distributed computing.

M G Thomason¹, R F Longton, J Gregor

¹Department of Computer Science, University of Tennessee, 203 Claxton Complex, Knoxville, TN 37996, USA. thomason@cs.utk.edu

Computer Methods and Programs in Biomedicine

|July 22, 2004

Summary

Parallelizing SimSET Monte Carlo simulations using NetSolve grid middleware achieves linear speed-up. A novel scheduler optimizes performance across heterogeneous computing environments for emission tomography.

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Area of Science:

Medical Imaging
Computational Science
Distributed Computing

Background:

SimSET is Monte Carlo simulation software crucial for emission tomography.
Efficient parallel execution is needed to handle complex simulations.

Purpose of the Study:

To describe a scheme for parallelizing SimSET using NetSolve grid middleware.
To implement a client-side scheduler for optimizing performance in heterogeneous environments.

Main Methods:

Utilized NetSolve (version 1.4.1) as client-server grid middleware.
Developed a client-side scheduler to partition decay events based on processor compute-speeds and workloads.
Made minimal modifications to SimSET code (version 2.6.2.3) to ensure total decay event count.

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Main Results:

Achieved essentially linear speed-up with the number of processors when considering compute-speeds and workloads.
Demonstrated effective parallel execution in a heterogeneous computing environment.
Reported empirical results for simulating a clinical-quality lung perfusion study.

Conclusions:

The NetSolve-based parallelization scheme is effective for SimSET.
The client-side scheduler enhances performance by adapting to diverse computing resources.
This approach enables efficient distributed computation for emission tomography simulations.