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复杂物理模型仿真的多进程流水线方法 被引量:1

Multi-process pipeline method for high-dimensional system simulation
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摘要 介绍了一种利用并行运算解决高维度、非线性、强耦合系统模型仿真问题的方法。该方法以现场可编程门阵列(FPGA)技术为依托,在流水线设计思想的基础上,利用所提出的流水线算子概念实现了从非线性常微分方程向流水线数据通路的转换过程。该方法为在FPGA上设计模拟各种复杂物理模型的流水线数据通路提供了一种简单有效的解决方案。 This paper introduced a method to solve the problem of high dimensional,nonlinear and strongly coupled system model simulation used parallel computing.On the based of FPGA technology and the idea of pipeline designing,using the concept of pipeline operator,the method implemented the transformation processes from the ordinary differential equation model to a pipelined data path.The method provided a simple and effective solution to design pipelined data path which could simulate complex physical model on the FPGA.
作者 张荣华 王江
出处 《计算机应用研究》 CSCD 北大核心 2011年第10期3694-3698,共5页 Application Research of Computers
基金 国家自然科学基金资助项目(61072012)
关键词 系统仿真 现场可编程门阵列 流水线 system simulation field programmable gate array(FPGA) pipeline
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  • 1WILSON J A, WILLIAMS J C. Massively parallel signal processing using the graphics processing unit for real-time brain-computer inter- face feature extraction [ J ]. Frontiers Neuroengineering, 2009,2 : 11. 被引量:1
  • 2WILSON E C, GOODMAN P H, Jr Harris F C. Implementation of a biologically realisticparaUel neocortical-neural network simulator [ C]//Proc of the 10th SIAM Conference on Parallel Processing for Scientific Computing. 2001. 被引量:1
  • 3William B. Characterization of neuron models [ D]. Atlanta: Georgia Institute of Technology, 2005. 被引量:1
  • 4WEINSTEIN R K, LEE R H. Architectures for high-performance FP- GA implementations of neural models[ J]. Journal of Neural Engi- neering,2006,3( 1 ) :21-34. 被引量:1
  • 5WEINSTEIN R, REID M, LEE R. Methodology and design flow for assisted neural-model implementations in FPGAs [ J ]. Neural Sys- tems & Rehabilitation ,2007,5( 1 ) :83-93. 被引量:1
  • 6MORRIS C, LECAR H. Voltage oscillations in the barnacle giant muscle fiber[ J]. Biophysical Journal, 1981,35 ( 1 ) : 193-213. 被引量:1
  • 7DSTEXHE A, MAINEN Z F, SEJNOWSKI T J. An efficient method for computing synaptic conductances based on a kinetic model of re- ceptor binding[ J]. Neural Computation, 1994,6 ( 1 ) : 14-18. 被引量:1

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