孙经纬

 

Email:sunjw@ustc.edu.cn

地址:安徽省合肥市包河区中国科大东区高性能计算中心506

  

主要研究方向高性能计算、性能建模与评测、并行算法


孙经纬,1992年生,博士后研究员。2020年于中国科学技术大学获得计算机软件与理论博士学位。曾于2018年3月至9月赴苏黎世联邦理工学院访问学习。主要研究方向为高性能计算,并行程序性能建模、预测与自动优化,并行算法设计与优化等。

 

代表性论著

  1. Hao Sun, Yunzhuo Wang, Jingwei Sun*, and Guangzhong Sun: Fast Training of POI Recommendation Models Using Gradient Compression. ACM SIGSPATIAL China SpaitialDI 2020

  2. Jingwei Sun, Guangzhong Sun, Shiyan Zhan, Jiepeng Zhang, Yong Chen: Automated Performance Modeling of HPC Applications Using Machine Learning. IEEE Trans. Computers 69(5): 749-763 (2020)

  3. Jiepeng Zhang, Jingwei Sun, Wenju Zhou, Guangzhong Sun: An Active Learning Method for Empirical Modeling in Performance Tuning. IPDPS 2020: 244-253

  4. Zihang Zhang, Jingwei Sun*, Jiepeng Zhang, Yuze Qin, Guangzhong Sun: Constructing Skeleton for Parallel Applications with Machine Learning Methods. ICPP Workshops 2019: 16:1-16:8

  5. Jingwei Sun, Shiyan Zhan, Guangzhong Sun, Yong Chen: Automated Performance Modeling Based on Runtime Feature Detection and Machine Learning. ISPA/IUCC 2017: 744-751

  6. Jingwei Sun, Guangzhong Sun: SPLZ: An efficient algorithm for single source shortest path problem using compression method. GeoInformatica 20(1): 1-18 (2016)