异构Windows集群医学图像重建系统

Tao He, J. Ni, Ge Wang
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引用次数: 6

摘要

本文介绍了一种异构windows集群系统,用于医学图像重建应用获取高性能计算资源。集群系统中的通信由MPICH开源库提供支持。我们的工作是在windows 1.25版本的MPICH库和windows 1.03版本的MPICH2库中提供一个具有负载平衡功能的简单进程管理(PM)系统。这些扩展确保我们的医学图像重建应用程序可以在异构的windows网络环境中平稳、健壮地运行,这被认为是一个具有低性价比的windows MPI集群系统。在研究案例中,在我们的windows集群系统上实现了OSEM算法和Katsevich算法。在各种图像体积下的实验结果验证了该系统在提高高性能计算机驱动的CT图像重建速度方面的可行性和适用性
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A Heterogeneous Windows Cluster System for Medical Image Reconstruction
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
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