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一种用于加速FPGA设计空间探索的电路特性驱动半监督建模方法

杨立群 李威 黄志洪 孙嘉斌 杨海钢

杨立群, 李威, 黄志洪, 孙嘉斌, 杨海钢. 一种用于加速FPGA设计空间探索的电路特性驱动半监督建模方法[J]. 电子与信息学报, 2015, 37(10): 2521-2528. doi: 10.11999/JEIT150162
引用本文: 杨立群, 李威, 黄志洪, 孙嘉斌, 杨海钢. 一种用于加速FPGA设计空间探索的电路特性驱动半监督建模方法[J]. 电子与信息学报, 2015, 37(10): 2521-2528. doi: 10.11999/JEIT150162
Yang Li-qun, Li Wei, Huang Zhi-hong, Sun Jia-bin, Yang Hai-gang. Circuit Characteristics-driven Semi-supervised Modelling Approach for Accelerating FPGA Design Space Exploration[J]. Journal of Electronics & Information Technology, 2015, 37(10): 2521-2528. doi: 10.11999/JEIT150162
Citation: Yang Li-qun, Li Wei, Huang Zhi-hong, Sun Jia-bin, Yang Hai-gang. Circuit Characteristics-driven Semi-supervised Modelling Approach for Accelerating FPGA Design Space Exploration[J]. Journal of Electronics & Information Technology, 2015, 37(10): 2521-2528. doi: 10.11999/JEIT150162

一种用于加速FPGA设计空间探索的电路特性驱动半监督建模方法

doi: 10.11999/JEIT150162
基金项目: 

国家自然科学基金(61271149)

Circuit Characteristics-driven Semi-supervised Modelling Approach for Accelerating FPGA Design Space Exploration

Funds: 

The National Natural Science Foundation of China (61271149)

  • 摘要: 该文提出一种电路特性驱动的半监督建模方法来探索FPGA架构设计空间。通过加入电路特性作为输入来构建一个通用的FPGA性能模型,该方法能够精确预测指定电路在特定FPGA架构上实现的性能。实验结果显示该方法在预测电路在FPGA上实现的面积时,平均相对误差达到6.25%;预测延时时,平均相对误差可达4.23%,具有与半监督模型树(Semi-supervised Model Tree, SMT)方法可比的预测精度。同时,该文方法加速了FPGA性能建模过程,与SMT方法比较,在6核Intel服务器平台Intel Xeon E7-4807上,探索具有百万架构的FPGA设计空间时,该文方法可将时间成本由500 h降低为250 h。
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出版历程
  • 收稿日期:  2015-01-28
  • 修回日期:  2015-04-22
  • 刊出日期:  2015-10-19

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