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A Heterogeneous Windows Cluster System for Medical Image Reconstruction
Hangzhou, Zhejiang, China June 20-June 24
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/IMSCCS.2006.82006 First International Multi-Sympos ...
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Tao He, Jun Ni, Ge Wang, "A Heterogeneous Windows Cluster System for Medical Image Reconstruction," Computer and Computational Sciences, International Multi-Symposiums on, vol. 1, pp. 410-415, 2006 First International Multi-Symposiums on Computer and Computational Sciences, 2006.
 
 
BibTex
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@article{ 10.1109/IMSCCS.2006.8,
author = {Tao He and Jun Ni and Ge Wang},
title = {A Heterogeneous Windows Cluster System for Medical Image Reconstruction},
journal ={Computer and Computational Sciences, International Multi-Symposiums on},
volume = {1},
year = {2006},
isbn = {0-7695-2581-4},
pages = {410-415},
doi = {http://doi.ieeecomputersociety.org/10.1109/IMSCCS.2006.8},
publisher = {IEEE Computer Society},
address = {Los Alamitos, CA, USA},
}
 
 
RefWorks Procite/RefMan/Endnote
x 
 
TY - CONF
JO - Computer and Computational Sciences, International Multi-Symposiums on
TI - A Heterogeneous Windows Cluster System for Medical Image Reconstruction
SN - 0-7695-2581-4
SP410
EP415
A1 - Tao He,
A1 - Jun Ni,
A1 - Ge Wang,
PY - 2006
KW - Windows Cluster system
KW - MPICH
KW - Processes management
KW - load balance
KW - OSEM and Katsevich algorithms.
VL - 1
JA - Computer and Computational Sciences, International Multi-Symposiums on
ER -
 
Tao He, The University of Iowa, USA
Jun Ni, The University of Iowa, USA
Ge Wang, The University of Iowa, USA
This paper demonstrates a heterogeneous windows cluster system to obtain high performance computing (HPC) resources for medical image reconstruction applications. The communication in the cluster system is powered by MPICH open source library. Our works are to provide a simple processes management (PM) system with the functions of load balance in the windows version 1.25 of MPICH library and some PM extensions in the windows version 1.03 of MPICH2 library. These extensions ensure our medical image reconstruction applications can smoothly and robustly be running on a heterogeneous windows network environment, which is considered as a windows MPI cluster system with a low rate of cost/performance. In the study cases, the OSEM algorithm and Katsevich algorithm are implemented on our windows cluster system. The experiment results in a broad variety of image volumes are presented to verify system?s feasibility and applicability to increase speedup of HPC powered CT image reconstruction.
Index Terms:
Windows Cluster system, MPICH, Processes management, load balance, OSEM and Katsevich algorithms.
Citation:
Tao He, Jun Ni, Ge Wang, "A Heterogeneous Windows Cluster System for Medical Image Reconstruction," imsccs, vol. 1, pp.410-415, 2006 First International Multi-Symposiums on Computer and Computational Sciences, 2006
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