张波, 薛正辉, 任武, 李伟明, 盛新庆. 基于图形处理器的时域有限差分算法研究[J]. 电波科学学报, 2011, 26(1): 108-112.
      引用本文: 张波, 薛正辉, 任武, 李伟明, 盛新庆. 基于图形处理器的时域有限差分算法研究[J]. 电波科学学报, 2011, 26(1): 108-112.
      ZHANG Bo, XUE Zheng-hui, REN Wu, LI Wei-ming, SHENG Xin-qing. Acceleration of FDTD algorithm based on GPU computing[J]. CHINESE JOURNAL OF RADIO SCIENCE, 2011, 26(1): 108-112.
      Citation: ZHANG Bo, XUE Zheng-hui, REN Wu, LI Wei-ming, SHENG Xin-qing. Acceleration of FDTD algorithm based on GPU computing[J]. CHINESE JOURNAL OF RADIO SCIENCE, 2011, 26(1): 108-112.

      基于图形处理器的时域有限差分算法研究

      Acceleration of FDTD algorithm based on GPU computing

      • 摘要: 如何提高时域有限差分算法(FDTD)的运算效率一直是FDTD数值运算研究的核心问题之一。针对近年来图形处理器(GPU)运算能力的高速增长及GPU通用运算概念提出的背景,对GPU加速FDTD运算的潜力与研究现状进行了总结,并对GPU加速FDTD运算的并行实现原理进行了阐述,通过将其与其他典型硬件加速方式进行比较,指出了GPU加速具有低成本易于开发移植等特点。通过GPU加速FDTD的实例运算,初步验证了GPU运算的可行性与高速性,证实了GPU加速运算FDTD运算存在广阔应用的前景,并对现有问题进行了总结。

         

        Abstract: How to accelerate the speed of finite-difference time-domain(FDTD)algorithm is one of the most challenging tasks of FDTD research.With dramatic increase of Graphics Processing Unit(GPU)computing power and the proposal of general purpose GPU computing, GPU based computing is an inevitable trend during the past few years.This paper starts with introducing the potential and research status of GPU based FDTD computing; then illustrats the basis idea of GPU computing and compares it with other hardware accelerating approach to prove the low-lost and multi-platform property of GPU-computing. In the end, discusses the enormous potential applications and remaining problems based on current experimental results.

         

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