曹伟

发布者:尹秀娟发布时间:2022-03-15浏览次数:1971

曹伟,博士,现任复旦大学大数据研究院副研究员。2006年毕业于哈尔滨工业大学,获工学博士,2006年9月至2009年6月在复旦大学电子科学与技术博士后流动站从事博士后科研工作。主要研究方向是领域专用软硬件协同计算、可重构计算、领域专用硬件加速器结构和可编程逻辑器件结构。2015年获上海市技术发明三等奖一项(排名第四)。迄今,已发表SCI和EI论文30余篇,第一发明人授权发明专利3项。承担十四五国家重点研发计划课题和子课题各1项。

 

主持科研项目列表:

[1].国家重点研发计划先进计算与新兴软件专项,动态可伸缩的拟态计算系统及构建方法项目,课题3拟态计算系统全栈式工具链研究,执行周期:2023.03~2026.02,国拨经费:1084万

[2].国家重点研发计划微纳电子专项晶圆级芯片系统级开发环境设计与验证研究项目, 课题2晶圆级芯片高效编译优化技术-子课题异构平台代码生成”,执行周期:2022.11-2025.10,国拨经费:100万

 

代表性论文列表:

1.期刊论文:

[1].Xitian Fan, Guangwei Xie, Zhongcheng Huang, Wei Cao*(曹伟,通讯作者) , LingliWang:Acceleration of Rotated Object Detection on FPGA. IEEE Trans. Circuits Syst. II Express Briefs 69(4): 2296-2300 (2022) SCI2022年影响因子/JCR分区:3.691/Q2 

[2].Siyu Xiong, Guoqing Wu, Xitian Fan, Xuan Feng, Zhongcheng Huang, Wei Cao1*(曹伟,通讯作者) , Xuegong Zhou, Shijin Ding,Jinhua Yu, Lingli Wang and Zhifeng Shi MRI-based brain tumor segmentation using FPGA-accelerated neural networkBMC Bioinformatics(2021) 22:421SCI2022年影响因子/JCR分区:3.307/Q2 

[3].Di Wu, Xitian Fan, Wei Cao*(曹伟,通讯作者) and Lingli WangSWM:A High-Performance Sparse-Winograd Matrix Multiplication CNN Accelerator, IEEE Transactionson Very Large Scale Integration (VLSI) Systems Print ISSN: 1063-8210 Online ISSN: 1557-9999Digital Object Identifier: 10.1109/TVLSI.2021.3060041,(2021)(SCI2022年影响因

/JCR分区:2.775/Q2 

[4].Xitian Fan , Di Wu, Wei Cao*(曹伟,通讯作者), Wayne Luk and Lingli Wang,Stream Processing Dual-Track CGRA for Object Inference,IEEE TRANSACTIONS ON VERY LARGE SCALE INTEGRATION (VLSI) SYSTEMS, VOL. 26, NO. 6, JUNE 2018 (SCI2022年影响因子/JCR分区:2.775/Q2)

2.会议论文:

[1].Jingbo Gao, Yu Qian, Yihan Hu, Xitian Fan, Wai-Shing Luk, Wei Cao*(曹伟,通讯作者) , Lingli Wang: LETA: A lightweight exchangeable-track accelerator for efficientnet based on FPGA. 2021 International Conference on Field-Programmable Technology (FPT2021,可重构计算和FPGA领域四大重要国际会议之一)

[2].Xuan Feng, Yue Li, Yu Qian, Jingbo Gao, Wei Cao*(曹伟,通讯作者) , Lingli Wang: A High-Precision Flexible Symmetry-Aware Architecture for Element-Wise Activation Functions. 2021 International Conference on Field-Programmable Technology (FPT 2021,可重构计算和FPGA领域四大重要国际会议之一)

[3].Yue Li, Wei Cao*(曹伟,通讯作者), Xuegong Zhou* and Lingli Wang, A Low-Cost Reconfigurable Nonlinear Core for Embedded DNN Applications, 2020 InternationalConference on Field-Programmable Technology (FPT2020,可重构计算和FPGA域四大重要国际会议之一)

[4].Mingjun Jiao, Yue Li, Pengbo Dang, Wei Cao*(曹伟,通讯作者) and Lingli Wang, A High Performance FPGA-based Accelerator Design for End-to-End Speaker Recognition System, 2019 International Conference on Field-Programmable Technology (FPT2019,可重构计算和FPGA领域四大重要国际会议之一)

[5].Di Wu, Wei Cao*(曹伟,通讯作者) and Lingli Wang, SpMM-WCNN: A Novel Highperformance Sparse Matrix-matrix Multiplication Accelerator for Winograd CNN Inference, 2019 International Conference on Field-Programmable Technology (FPT2019,可重构计算和FPGA领域四大重要国际会议之一)

[5].Li Jiao, Cheng Luo, Wei Cao*(曹伟,通讯作者), Xuegong Zhou, Lingli Wang,Accelerating Low Bit-Width Convolutional Neural Networks With Embedded FPGA,27th IEEE International Conference on Field-Programmable Logic and Applications, Sep.2017(FPL2017,可重构计算和FPGA领域四大重要国际会议之一

[6].Huimin Li, Xitian Fan, Li Jiao, Wei Cao(曹伟,通讯作者), Xuegong Zhou, Lingli Wang, A High Performance FPGA-Based Accelerator for Large-Scale Convolutional  Neural Networks,26th IEEE International Conference on Field-Programmable Logic and Applications, Switzerland, pp.69-77, August 2016 (FPL2016,可重构计算和FPGA领域四大重要国际会议之一)

[7].X Fan,H Li,Wei Cao*(曹伟,通讯作者),Lingli Wang,DT-CGRA: Dual-Track Coarse-Grained Reconfigurable Architecture for Stream Applications,26th IEEE International Conference on Field-Programmable Logic and Applications, Switzerland, August 2016 (FPL2016,可重构计算和FPGA领域四大重要国际会议之一)

 

专利:

1.曹伟(第一发明人),王伶俐等,一种低位宽卷积神经网络可重构计算单元,专利号:ZL 2018 1 0318783.6,2021年授权

2.曹伟(第一发明人),王伶俐等,一种可重构卷积神经网路的硬件互连系统,专利号:ZL 2018 1 0358433.6,2021年授权

3.曹伟(第一发明人),王伶俐等,一种基于LBP特征的人脸识别硬件架构,专利号:CN201510688167.6,2018年授权

 

教学:

研究生课程“可重构计算”(INFO630077),秋季学期(2011至今),3学分。

 

联系方式:

电子邮箱:caow@fudan.edu.cn

办公室:复旦大学邯郸校区计算中心B305