徐宇^{1, 2},
林郁³,
杨海钢^{1, 2,,}
1.中国科学院电子学研究所 北京 100190
2.中国科学院大学 北京 100190
3.赛灵思电子科技北京分公司 北京 100101
基金项目:国家自然科学基金(61474120, 61404140, 61704173)

详细信息

作者简介:徐宇：男，1990年生，博士生，研究方向为FPGA软件设计自动化
林郁：男，1982年生，高级工程师，研究方向为FPGA软件设计自动化
杨海钢：男，1960年生，研究员/教授，博士生导师，研究方向微电子学与集成电路技术

通讯作者:杨海钢　yanghg@mail.ie.ac.cn

中图分类号:TN43

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出版历程

收稿日期:2019-01-28
修回日期:2020-01-20
网络出版日期:2020-07-20
刊出日期:2020-10-13

Optimization Algorithm of Dual-port Memory Mapping on FPGA

Yu XU^{1, 2},
Yu LIN³,
Haigang YANG^{1, 2,,}
1. Institute of Electrics, Chinese Academy of Sciences, Beijing 100190, China
2. University of Chinese Academy of Sciences, Beijing 100049, China
3. Xilinx Incorporated, Beijing 100101, China
Funds:The National Natural Science Foundation of China (61474120, 61404140, 61704173)


摘要
摘要:FPGA存储器映射算法负责将用户的逻辑存储需求映射到芯片中的分布式存储资源上实现。前人对双端口存储器的映射算法研究相对较少，成熟的商业EDA工具的映射结果仍有不少改进空间。该文分别针对面积、延时、功耗这3个常用指标，提出一种双端口存储器映射的优化算法，并给出了具体配置方案。实验表明，在面向简单存储需求时，与商用工具Vivado的映射结果一致；在面向复杂存储需求时，面积优化和功耗优化的映射结果对比商用工具改善了至少50%。
关键词:FPGA/
双端口存储器映射/
延时优化/
面积优化/
功耗优化
Abstract:FPGA memory mapping algorithm utilizes distributed storage resources on chip and cooperates with some auxiliary circuits to realize the different needs of users in designing logical storage functions. Previous studies on dual-port memory mapping algorithm are relatively few. There is still much space for improvement in the mapping results by mature commercial EDA tools. An optimization algorithm of dual-port memory mapping is proposed for area, delay and power consumption, and a specific configuration scheme is given. Experiments show that when facing simple storage requirements, the mapping results are consistent with those of commercial tools; when facing complex storage requirements, the mapping results of area optimization and power optimization are improved by at least 50% compared with commercial tools Vivado.
Key words:FPGA/
Dual-port memory mapping/
Delay optimization/
Area optimization/
Power optimization



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