中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
Improving Seed-Based FPGA Packing with Indirect Connection for Realization of Neural Networks

文献类型:期刊论文

作者Yu, Le3; Guo, Baojin3; Zhi, Tian1; Bai, Lida2
刊名ELECTRONICS
出版日期2023-06-01
卷号12期号:12页码:13
关键词FPGA EDA packing seed-based indirect connections
DOI10.3390/electronics12122691
英文摘要FPGAs are gaining favor among researchers in fields including artificial intelligence and big data due to their configurability and high level of parallelism. As the packing methods indisputably affect the implementation performance of FPGA chips, packing techniques play an important role in the design automation flow of FPGAs. In this paper, we propose a quantitative rule for packing priority of neural network circuits, and optimize the traditional seed-based packing methods with special primitives. The experiment result indicates that the proposed packing method achieves an average decrease of 8.45% in critical path delay compared to the VTR8.0 on Koios deep learning benchmarks.
WOS研究方向Computer Science ; Engineering ; Physics
语种英语
WOS记录号WOS:001014275500001
出版者MDPI
源URL[http://119.78.100.204/handle/2XEOYT63/21227]  
专题中国科学院计算技术研究所期刊论文_英文
通讯作者Yu, Le
作者单位1.Chinese Acad Sci, Inst Comp Technol, Beijing 100190, Peoples R China
2.Shandong Cwise Microelect Technol Co Ltd, Jinan 250102, Peoples R China
3.Beijing Technol & Business Univ, Sch Artificial Intelligence, Beijing 100048, Peoples R China
推荐引用方式
GB/T 7714
Yu, Le,Guo, Baojin,Zhi, Tian,et al. Improving Seed-Based FPGA Packing with Indirect Connection for Realization of Neural Networks[J]. ELECTRONICS,2023,12(12):13.
APA Yu, Le,Guo, Baojin,Zhi, Tian,&Bai, Lida.(2023).Improving Seed-Based FPGA Packing with Indirect Connection for Realization of Neural Networks.ELECTRONICS,12(12),13.
MLA Yu, Le,et al."Improving Seed-Based FPGA Packing with Indirect Connection for Realization of Neural Networks".ELECTRONICS 12.12(2023):13.

入库方式: OAI收割

来源:计算技术研究所

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