半导体光子学与技术, 2008, 14 (3): 174, 网络出版: 2011-08-19
Application of Global Dynamic Reconfiguration in Artificial Neural Network System based on Field Programmable Gate Array
Application of Global Dynamic Reconfiguration in Artificial Neural Network System based on Field Programmable Gate Array
摘要
Abstract
Presented is a global dynamic reconfiguration design of an artificial neural network based on field programmable gate array (FPGA). Discussed are the dynamic reconfiguration principles and methods. Proposed is a global dynamic reconfiguration scheme using Xilinx FPGA and platform flash. Using the revision capabilities of Xilinx XCF32P platform flash, an artificial neural network based on Xilinx XC2V30P Virtex-Ⅱ can be reconfigured dynamically from back propagation (BP) learning algorithms to BP network testing algorithms. The experimental results indicate that the scheme is feasible, and that, using dynamic reconfiguration technology, FPGA resource utilization can be reduced remarkably.
LI Wei, WANG Wei, MA Yi-mei, WANG Jin-hai. Application of Global Dynamic Reconfiguration in Artificial Neural Network System based on Field Programmable Gate Array[J]. 半导体光子学与技术, 2008, 14(3): 174. LI Wei, WANG Wei, MA Yi-mei, WANG Jin-hai. Application of Global Dynamic Reconfiguration in Artificial Neural Network System based on Field Programmable Gate Array[J]. Semiconductor Photonics and Technology, 2008, 14(3): 174.