Chen Wang


I am a 4th year computer science Ph.D student at University of Illinois at Urbana-Champaign with a research focus on high performance computing. My advisor is Prof. Marc Snir. We are currently working with CASC at Lawerence Livermore National Lab on I/O tracing and tunable consistency parallel file systems. We are also collaborating with PMRS at Argonne National Lab on a lossless MPI tracing project named Pilgrim. Other projects I am curently involved in: slient error detection and proactive data container.


University of Illinois at Urbana-Champaign2017–Present

Ph.D. Copmuter Science

Tianjin University, China2014–2017

M.S. Computer Science

Hainan University, China2010–2014

B.S. Computer Science


Chen Wang, Pavan Balaji, and Marc Snir. "Pilgrim: Scalable and (near) Lossless MPI Tracing", SC, 2021.

Chen Wang, Kathryn Mohror, and Marc Snir. "File System Semantics Requirements of HPC Applications", HPDC, 2021.

Jinghan Sun, Chen Wang, Jian Huang, and Marc Snir. "Understanding and Finding Crash-Consistency Bugs in Parallel File Systems." 12th USENIX Workshop on Hot Topics in Storage and File Systems (HotStorage), 2020.

Chen Wang, Jinghan Sun, Marc Snir, Kathryn Mohror, and Elsa Gonsiorowski. "Recorder 2.0: Efficient Parallel I/O Tracing and Analysis." IEEE International Workshop on High-Performance Storage (HPS), 2020.

Chen Wang, Nikoli Dryden, Franck Cappello, and Marc Snir. "Neural network based silent error detector." 2018 IEEE International Conference on Cluster Computing (CLUSTER, Best Paper), pp. 168-178. IEEE, 2018.

Chen Wang, Ce Yu, Shanjiang Tang, Jian Xiao, Jizhou Sun, and Xiangfei Meng. "A general and fast distributed system for large-scale dynamic programming applications." Parallel Computing 60 (2016): 1-21.

Chen Wang, Ce Yu, Jizhou Sun, and Xiangfei Meng. "DPX10: An efficient X10 framework for dynamic programming applications." In 2015 44th International Conference on Parallel Processing (ICPP), pp. 869-878. IEEE, 2015.

Xi Chen, Chen Wang, Shanjiang Tang, Ce Yu, and Quan Zou. "CMSA: a heterogeneous CPU/GPU computing system for multiple similar RNA/DNA sequence alignment." BMC bioinformatics 18, no. 1 (2017): 315.

Na Bai, Shanjiang Tang, Ce Yu, Hao Fu, Chen Wang, and Xi Chen. "GMSA: a data sharing system for multiple sequence alignment across multiple users." Current Bioinformatics 14, no. 6 (2019): 504-515.


Argonne National LaboratoryLemont, IL

Research AideMay–Aug 2021

The HDF GroupChampaign, IL

Software Engineer InternMay–Aug 2020

Lawerence Livermore National LaboratoryLivermore, CA

Computing Scholar InternMay–Aug 2019

University of Illinois at Urbana-ChampaignUrbana, IL

Research Assistant2017–Present


Senior Software EngineerJan–Aug 2017

Tianjin UniversityTianjin, China

Research Assistant2012–2017

Becan TechnologyTianjin, China

Part-time Software Engineer2013–2015


Best Paper2018

IEEE International Conference on Cluster Computing (CLUSTER)

Bronze Medal2016

National Parallel Application Challenge at HPC China

National Scholarship for Graduate Students2016

Ministry of Education of China

Second-Class Scholarship2016

Tianjin University

Huawei Scholarship2015


First-Class Scholarship2015

Hainan University

First-Class Scholarship2014

Hainan University

Second-Class Scholarship2013

Hainan University

Special Prize Scholarship2011

Hainan University

Find me on GitHub

Last Updated: October 25, 2020