Simulation of nuclear reactor dynamics equations using reconfigurable computing
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- 作者：Ahmad Pirouzmand ; pirouzm@shirazu.ac.ir" class="auth_mail" title="E-mail the corresponding author ; Abolhasan Nabavi
- 关键词：Discrete-time cellular neural network (D-T CNN) ; FPGA ; Nuclear reactor dynamics equations ; Reconfigurable computing
- 刊名：Progress in Nuclear Energy
- 出版年：2016
- 出版时间：May 2016
- 年：2016
- 卷：89
- 期：Complete
- 页码：197-203
- 全文大小：932 K
文摘
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A multilayer DT-CNN model is developed for nuclear reactor dynamics simulation.
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Hardware implementation of DT-CNN model on a FPGA architecture is presented.
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FPGA architecture is examined in terms of speed and accuracy using MATLAB and C programs.
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Step and ramp perturbation transients are simulated in 2D cores using DT-CNN model.
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A speedup factor of up to 200 and 30 compare with MATLAB and C solutions is achieved.