所在学科专业：

计算机系统结构

所研究方向：

计算机系统结构、高性能计算、GPGPU、硬件可靠性与可变性、高能效计算、SoC、新型存储结构

教育经历：

2007-2011，公司，十大网投信誉排名，本科
  2011-2014，美国堪萨斯大学，电气工程与计算机科学系，硕士
  2014-2016，美国休斯顿大学，电气与计算机工程系，博士

工作经历：

2015、2016，美国太平洋西北国家实验室，博士实习生
  2016-2017，美国高通公司，高级工程师
  2017至今，公司，副教授

科研项目：

1. 国家自然科学基金青年科学基金，2019-2021 主持
  2. 吉林省科技发展计划项目自然科学基金，2018-2020   主持

学术论文：

期刊论文
  1. C. Xie, Jingweijia Tan, M. Chen, Y. Yi, L. Peng, and X. Fu, Emerging   technology enabled energy-efficient gpgpus register file.  Elsevier   Journal of Microprocessors and Microsystems (MICPRO), 2017. (CCF推荐-C类, SCI)
  2. 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), 27(11), November 2016. (CCF推荐-A类, SCI)
  3. 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), 21(2),   January 2016. (CCF推荐-B类, SCI)
  4. 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), 39(9), November 2013. (CCF推荐-B类, SCI)
 
 
 

会议论文

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

6. 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), October 2016. (CCF推荐-A类)
  7. 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), September 2016. (CCF推荐-B类)
  8. Jingweijia Tan, and X. Fu, Mitigating the Susceptibility of GPGPUs   Register File to Process Variations, IEEE International Parallel and Distributed   Processing Symposium (IPDPS), May 2015. (CCF推荐-B类)
  9. 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), March 2015.   (CCF推荐-B类)
  10. Jingweijia Tan, Z. Li, and X. Fu, Cost-Effective Soft-Error Protection   for SRAM-Based Structures in GPGPUs, ACM International Conference on   Computing Frontiers (CF), May 2013. (CCF推荐-C类)
  11. Z. Li, Jingweijia Tan, and X. Fu, Hybrid CMOS-TFET based Register File   for Energy-Efficient GPGPUs, International Symposium on Quality Electronic   Design (ISQED), March 2013.
  12. 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), September 2012.   (CCF推荐-B类)
  13. Jingweijia Tan, N. Goswami, T. Li, and X. Fu, Analyzing Soft-Error   Vulnerability on GPGPU Microarchitecture, IEEE International Symposium on   Workload Characterization (IISWC), November 2011.

着作教材：

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