research-article

Shared-memory parallelization of the semi-ordered fast iterative method

Authors:

Siegfried SelberherrAuthors Info & Claims

HPC '15: Proceedings of the Symposium on High Performance Computing

Pages 217 - 224

Published: 12 April 2015 Publication History

Abstract

The semi-ordered fast iterative method is used to compute a monotone front propagation of anisotropic nature by solving the eikonal equation. Compared to established iterative methods, such as the fast iterative method, the semi-ordered fast iterative method (SOFI) offers increased stability for variations in the front velocity. So far, the method has only been investigated in a serial, two-dimensional context; in this paper we investigate a parallel implementation of SOFI (using OpenMP) and evaluate the method for three-dimensional real-world type problems. We discuss the parallel algorithm and compare its performance and its computed solutions with an OpenMP-powered fast iterative method. Different speed functions together with varying problem sizes are used to investigate the impact of the computational load. Although the semi-ordered fast iterative method is inferior to the fast iterative method with respect to parallel efficiency, we show that its execution performance is significantly faster.

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Cited By

Weinbub JHssinger A(2016)Comparison of the Parallel Fast Marching Method, the Fast Iterative Method, and the Parallel Semi-ordered Fast Iterative MethodProcedia Computer Science10.1016/j.procs.2016.05.40880:C(2271-2275)Online publication date: 1-Jun-2016
https://dl.acm.org/doi/10.1016/j.procs.2016.05.408

Index Terms

Shared-memory parallelization of the semi-ordered fast iterative method
1. Computing methodologies
  1. Parallel computing methodologies
    1. Parallel algorithms
2. Theory of computation
  1. Design and analysis of algorithms
    1. Parallel algorithms

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cover image ACM Conferences

HPC '15: Proceedings of the Symposium on High Performance Computing

April 2015

253 pages

ISBN:9781510801011

General Chairs:
Layne T. Watson
Virginia Polytechnic Institute & State University
,
Joseph Weinbub
Vienna University of Technology
,
Program Chairs:
Masha Sosonkina
Ames Laboratory & Old Dominion University
,
Will Thacker
Winthrop University

Sponsors

SIGSIM: ACM Special Interest Group on Simulation and Modeling
SCS: Society for Modeling and Simulation International

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Society for Computer Simulation International

San Diego, CA, United States

Publication History

Published: 12 April 2015

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SpringSim '15

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SIGSIM
SCS

SpringSim '15: 2015 Spring Simulation Multiconference

April 12 - 15, 2015

Virginia, Alexandria

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Cited By

Weinbub JHssinger A(2016)Comparison of the Parallel Fast Marching Method, the Fast Iterative Method, and the Parallel Semi-ordered Fast Iterative MethodProcedia Computer Science10.1016/j.procs.2016.05.40880:C(2271-2275)Online publication date: 1-Jun-2016
https://dl.acm.org/doi/10.1016/j.procs.2016.05.408

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