A high performance image processing platform based on CPU-GPU heterogeneous cluster with parallel image reconstructions for micro-CT

DING Yu1; 2 QI Yujin1 ZHANG Xuezhu1 ZHAO Cuilan1 1

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A high performance image processing platform based on CPU-GPU heterogeneous cluster with parallel image reconstructions for micro-CT

更新时间：2021-03-05

- A high performance image processing platform based on CPU-GPU heterogeneous cluster with parallel image reconstructions for micro-CT
- NUCLEAR TECHNIQUES Vol. 34, Issue 8, (2011)
- 作者机构：
  
  1. 中国科学院上海应用物理研究所
  2. 中国科学院研究生院
- 作者简介：
- 基金信息：
  
  国家自然科学基金项目(10875162)资助
- DOI：
  CLC： TP391.41
- Published：01 August 2011
- 稿件说明：
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[1]丁喻,漆玉金,张雪竹,赵翠兰.高性能影像处理平台构建及显微CT图像重建算法的并行实现[J].核技术,2011,34(08):626-631.

DING Yu1, 2 QI Yujin1 ZHANG Xuezhu1 ZHAO Cuilan1 1. A high performance image processing platform based on CPU-GPU heterogeneous cluster with parallel image reconstructions for micro-CT[J]. Nuclear techniques, 2011, 34(8): 626-631.
[1]丁喻,漆玉金,张雪竹,赵翠兰.高性能影像处理平台构建及显微CT图像重建算法的并行实现[J].核技术,2011,34(08):626-631. DOI：

DING Yu1, 2 QI Yujin1 ZHANG Xuezhu1 ZHAO Cuilan1 1. A high performance image processing platform based on CPU-GPU heterogeneous cluster with parallel image reconstructions for micro-CT[J]. Nuclear techniques, 2011, 34(8): 626-631. DOI：

摘要

介绍了一种高性能的影像处理平台

该平台基于CPU-GPU异构集群

初始系统是由一台Dell Precision T7500和一台HP XW8600工作站构建而成

系统采用消息传递接口（MPI）和CUDA（Compute Unified Device Architecture）为程序并行编程和运行环境。在此平台上成功实现了X射线显微CT成像图像重建算法（FDK）的并行加速计算与处理。结果表明

GPU单机比CPU单机的平均计算速度提高近194倍

CPU-GPU集群比单独CPU集群的计算速度提高46倍

计算效率显著提高

能满足快速三维图像重建及图像结果的实时显示要求。CPU-GPU异构集群是构建高性能影像处理平台的有效途径。

Abstract

In this paper

we report the development of a high-performance image processing platform

which is based on CPU-GPU heterogeneous cluster.Currently

it consists of a Dell Precision T7500 and HP XW8600 workstations with parallel programming and runtime environment

using the message-passing interface(MPI) and CUDA(Compute Unified Device Architecture).We succeeded in developing parallel image processing techniques for 3D image reconstruction of X-ray micro-CT imaging.The results show that a GPU provides a computing efficiency of about 194 times faster than a single CPU

and the CPU-GPU clusters provides a computing efficiency of about 46 times faster than the CPU clusters.These meet the requirements of rapid 3D image reconstruction and real time image display.In conclusion

the use of CPU-GPU heterogeneous cluster is an effective way to build high-performance image processing platform.

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Fast reconstruction of X-ray dynamic micro-CT based on GPU parallel computing

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Related Author

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DU Guohao

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Related Institution

Shanghai Institute of Applied Physics, Chinese Academy of Sciences

University of Chinese Academy of Sciences

Shanghai Synchrotron Radiation Facility/Zhangjiang Laboratory, Shanghai Advanced Research Institute, Chinese Academy of Sciences

School of Mathematics, Hefei University of Technology

Key Laboratory of Neutronics and Radiation Safety, Institute of Nuclear Energy Safety Technology, Chinese Academy of Sciences

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