谭婧炜佳

所在学科专业：

计算机系统结构

所研究方向：

计算机体系结构、处理器芯片设计、硬件可靠性、GPGPU、AI加速器、高能效计算

个人简介

谭婧炜佳，博士，副教授，博士生导师。现为中国计算机学会高级会员，中国计算机学会体系结构专业委员会执行委员。2016年博士毕业于美国休斯顿大学，2017年yh1122银河国际海外引进博士A 类人才，2019 年吉林省青年人才托举工程入选者。2018年获得EDA 领域顶级会议DATE’ 2018的最佳论文奖提名。2023年国家级虚拟仿真实验教学一流课程《云计算技术综合虚拟仿真实验》课程团队成员。

长期从事计算机体系结构领域的研究，在高性能并行计算机体系结构的可靠性方面提出了多项创新研究成果。在CCF 推荐A、B 类期刊和会议及中科院一区等发表高水平论文30余篇，包括顶级期刊和会议IEEE TC, IEEE   TPDS, IEEE TCAD, SC, MICRO, ACM TODAES, ACM TECS, JSA, PACT, ICCD, IPDPS,   DATE等。授权国家发明专利6 项，主持国家自然科学基金青年基金1 项，吉林省科技发展计划项目4 项。

多次担任TC,   TMC, JSA, TAES, JCSC, IET CDT 等著名国际期刊审稿人，以及NPC’2022,   NAS’2022, RSDA’2022, RSDA’2021 等知名国际会议及研讨会程序委员会委员、IPDRM’2016   研讨会宣传主席。

招生信息

每年招收多名学硕及专硕，名额充足，欢迎感兴趣的同学报考。

长期招收本科实习生，欢迎感兴趣的同学与我联系。

所指导的已毕业硕士研究生全部获得研究生学业奖学金、优秀毕业研究生等荣誉。

所协助指导的已毕业博士研究生博士期间发表SC（CCF-A会议）、TCAD（CCF-A期刊）、FGCS（中科院一区期刊）、DATE（CCF-B会议）等高水平论文，毕业后入选yh1122银河国际鼎新学者。

所指导的本科实习生收到多所美国及香港一流大学的全奖博士offer，即将赴美国弗吉尼亚大学攻读博士学位。

教育经历：

2014-2016，美国休斯顿大学，电气与计算机工程系，博士

2011-2014，美国堪萨斯大学，电气工程与计算机科学系，硕士

2007-2011，yh1122银河国际，yh1122银河国际，本科

工作经历：

2017至今，yh1122银河国际，副教授

2016-2017，美国高通公司，高级工程师

2015、2016，美国太平洋西北国家实验室，博士实习生

科研项目：

主持项目：

1.     吉林省科技厅，2023-2025，25万元，在研。

2.     吉林省科技厅，2022-2025，60万元，在研。

3.     国家自然科学基金，青年科学基金，2019-2021，26万元，已结题。

4.     吉林省科技厅，2019-2021，20万元，已结题。

5.     吉林省教育厅，2019-2020，2.5万元，已结题。

6.     吉林省科技厅，2018-2020，15万元，已结题。

参与项目：

1.     国家重点研发计划， 2018-2022 参与。

2.     国家自然科学基金，联合基金项目，2019-2022 参与。

代表性学术论文：

期刊论文：

1.     Jingweijia Tan, Liqi Ping,   Qixiang Wang, Kaige Yan, Saca-AVF: A Quantitative Approach to Analyze the   Architectural Vulnerability Factors of CNN Accelerators. IEEE Transactions on   Computers (TC), 2023. (CCF-A类，已录用)   DOI: 10.1109/TC.2023.3283685

2.     Jingweijia Tan, Keyu Chen,   Weiren Wang, Kaige Yan, Xiaohui Wei, MCM-GPU Voltage Noise Characterization   and Architecture-Level Mitigation. IEEE Transactions on Computer-Aided Design   of Integrated Circuits and Systems (TCAD), 2023. (CCF-A类，已录用) DOI:10.1109/TCAD.2023.3279304

3.     Jingweijia Tan, M. Chen, Y. Yi,   and X. Fu, Mitigating the Impact of Hardware Variability for GPGPUs Register   File, IEEE Transactions on Parallel and Distributed Systems (TPDS),   2016. (CCF-A类)

4.     Hengshan Yue, Xiaohui Wei, Jingweijia Tan, Nan Jiang,   Meikang Qiu, Eff-ECC: Protecting GPGPUs Register File With a Unified   Energy-Efficient ECC Mechanism. IEEE Transactions on Computer-Aided Design of   Integrated Circuits and Systems (TCAD), 2022. (CCF-A类，通讯作者)

5.     Jingweijia Tan, Qixiang Wang,   Kaige Yan, Xiaohui Wei. Saca-FI: A microarchitecture-level fault injection   framework for reliability analysis of systolic array based CNN accelerator. Future   Generation Computer Systems (FGCS), 2023. (中科院SCI一区，已录用)

6.     Xiaohui Wei, Hengshan Yue, Shang Gao, Lina Li, Ruyu Zhang, Jingweijia   Tan, G-SEAP: Analyzing and characterizing soft-error aware approximation   in GPGPUs. Future Generation Computer Systems (FGCS), 2020. (中科院SCI一区，通讯作者)

7.     Jingweijia Tan, Weiren Wang,   Maodi Ma, Xiaohui Wei, Kaige Yan, Improving the Performance of CNN   Accelerator Architecture Under the Impact of Process Variations. ACM   Transactions on Design Automation of Electronic Systems (TODAES), 2023.   (CCF-B类，已录用)

8.     Tiancong Bu, Kaige Yan, Jingweijia Tan, Towards   Fine-Grained Online Adaptive Approximation Control for Dense SLAM on Embedded   GPUs. ACM Transactions on Design Automation of Electronic Systems (TODAES),   2022. (CCF-B类)

9.     Kaige Yan, Jingweijia Tan, Longjun Liu, Xingyao Zhang,   Stanko R. Brankovic, Jinghong Chen, Xin Fu, Toward Customized Hybrid   Fuel-Cell and Battery-powered Mobile Device for Individual Users, ACM   Transactions on Embedded Computing Systems (TECS) 2020. (CCF-B类)

10.  Jingweijia Tan, Kaige Yan,   Shuaiwen Leon Song, Xin Fu, Energy-Efficient GPU L2 Cache Design Using   Instruction-Level Data Locality Similarity, ACM Transactions on Design   Automation of Electronic Systems (TODAES), 2020. (CCF-B类)

11.  Kaige   Yan, Jingweijia Tan, Xin Fu, Improving Energy Efficiency of Mobile   Devices by Characterizing and Exploring User Behaviors, Journal of System   Architecture (JSA) 2019. (CCF-B类)

12.  Jingweijia Tan and Kaige Yan,   Efficiently Managing the Impact of Hardware Variability on GPUs' Streaming   Processors, ACM Transactions on Design Automation of Electronic Systems (TODAES),   2019. (CCF-B类)

13.  Jingweijia Tan, Z. Li, M. Chen,   and X. Fu, Exploring Soft-Error Robust and Energy-Efficient Register File in   GPGPUs using Resistive Memory, ACM Transactions on Design Automation of   Electronic Systems (TODAES), 2016. (CCF-B类)

14.  Jingweijia Tan, Y. Yi, F. Shen,   and X. Fu, Modeling and Characterizing GPGPU Reliability in the Presence of   Soft Errors, Elsevier Journal of Parallel Computing (ParCo), 2013.   (CCF-B类)
 
 

会议论文：

1.     Hengshan   Yue, Xiaohui Wei, Guangli Li, Jianpeng Zhao, Nan Jiang, Jingweijia Tan,   G-SEPM: Building an Accurate and Efficient Soft Error Prediction Model for   GPGPUs, International Conference for High Performance Computing, Networking,   Storage and Analysis (SC), 2021. (CCF-A类, 通讯作者)

2.       K. Yan, X. Zhang, Jingweijia Tan, and X. Fu, Redefining   QoS and Customizing the Power Management Policy to Satisfy Individual Mobile   Users, International Symposium on Microarchitecture (MICRO), 2016.   (CCF-A类)

3.       Jingweijia Tan and K. Yan, HVSM: Hardware-Variability   Aware Streaming Processors' Management Policy in GPUs, Design, Automation and   Test in Europe Conference & Exhibition (DATE), 2018. (CCF-B类,最佳论文奖提名)

4.     Jingweijia Tan, Keyu Chen, Kaige   Yan, MG-Voltage: Characterizing and Mitigating Voltage Noise in MCM-GPU   Architectures, International Conference on Computer Design (ICCD), 2022.   (CCF-B类)

5.       Xiaohui Wei, Hengshan Yue, Jingweijia Tan, LAD-ECC:   Energy-Efficient ECC Mechanism for GPGPUs Register File, Design, Automation   and Test in Europe Conference & Exhibition (DATE), 2020. (CCF-B类, 通讯作者)

6.       Maodi Ma, Jingweijia Tan, Xiaohui Wei, Kaige Yan,   Process Variation Mitigation on Convolutional Neural Network Accelerator   Architecture, International Conference on Computer Design (ICCD),   2019. (CCF-B类, 通讯作者)

7.       Jingweijia Tan, Kaige Yan, Shuaiwen Leon Song, and   Xin Fu, LoSCache: Leveraging Locality Similarity to Build Energy-Efficient   GPU L2 Cache, Design, Automation and Test in Europe Conference &   Exhibition (DATE), 2019. (CCF-B类)

8.       Jingweijia Tan, S. Song, K. Yan, X. Fu, A. Marquez,   and D. Kerbyson, Combating the Reliability Challenge of GPU Register File at   Low Supply Voltage, International Conference on Parallel Architectures and   Compilation Techniques (PACT), 2016. (CCF-B类)

9.       Jingweijia Tan, and X. Fu, Mitigating the   Susceptibility of GPGPUs Register File to Process Variations, IEEE   International Parallel and Distributed Processing Symposium (IPDPS),   2015. (CCF-B类)

10.  Jingweijia   Tan, Z. Li, and X. Fu, Soft-Error Reliability and Power   Co-Optimization for GPGPU Register File using Resistive Memory, Design,   Automation and Test in Europe Conference & Exhibition (DATE),   2015. (CCF-B类)

11.  Jingweijia   Tan, and X. Fu, RISE: Improving the Streaming Processors   Reliability Against Soft Errors in GPGPUs, International Conference on   Parallel Architectures and Compilation Techniques (PACT), 2012. (CCF-B类)

12.  Jingweijia   Tan, N. Goswami, T. Li, and X. Fu, Analyzing Soft-Error   Vulnerability on GPGPU Microarchitecture, IEEE International Symposium on   Workload Characterization (IISWC), 2011.

着作教材：

著作章节：

Jingweijia   Tan, and Xin Fu, Addressing Hardware Reliability Challenges in   General-Purpose GPUs, in Advances in GPU Research and Practice, Elsevier   Publishing, 2016.

主讲课程：

1.《计算机系统结构》，计算机学院本科生必修课

2. 《计算机硬件系统设计实验I》，计算机学院本科生必修实验课

3. 《GPGPU异构高性能计算》，计算机学院本科生选修课

4. 《计算机硬件系统设计实验II》，计算机学院本科生选修实验课

5. 《云计算技术》，计算机学院本科生选修课

6. 《云计算与分布式计算》，计算机学院研究生选修课