Yi-Chao Wang (王一超)

Research Software Engineer

Office:

Room 405, Network Center
800 Dongchuan Rd, Shanghai, China 200240

Email:

wangyichao AT sjtu.edu.cn

Research Interests

HPC Application Performance Optimization

Performance Profiling and Metrics

Performance Modelling

Brief Introduction

I worked at the High Performance Computing (HPC) Center of Shanghai Jiao Tong University from 2012 as a research assistant, and have been working as research software engineer at the center since I received master degree. I focus on performance optimization of high performance computing applications including particle-in-cell, n-body, stencil, etc. From 2016, I worked with Princeton research team and firstly ported real-world HPC application GTC-P on Sunway TaihuLight supercomputer. My research paper of this work won the best paper of CCF HPC China 2017 conference.

Higher Level Education

• Shanghai Jiao Tong University, China, Computer Science, M.S., 2012-2015
  
• Shanghai Jiao Tong University, China, Computer Science, B.S., 2008-2012
  

Research Projects

• Studying NK/T cell lymphoma based on supercomputer (Funded by SJTU), PI, 2019-2021
  
• The National Key R&D Program of China, Research on National HPC environment service mechanism and support architecture,2016YFB0201400, 2016-2018, Key member
  
• NSF, Performance Scalability and Portability on Advanced HPC Systems, ACI-1440733, 2016-2017, Key member
  

Honors & Awards

• Outstanding Engineering Award, Shanghai Jiao Tong University, 2019
  
• Best Paper Award, CCF HPC China, 2016
  
• NVIDIA CUDA Programming Contest, Bronze Prize, 2014
  
• AMD High Performance Computing Scholarship, 2013
  

Program Committees

• IEEE/ACM International Symposium on Cluster, Cloud and Grid Computing (CCGrid), 2018, 2019
• International European Conference on Parallel and Distributed Computing (Euro-Par), 2019

Selected Publications

(Complete Publications: Google Scholar)

• Yi-Chao Wang, Jie Wang, Jin-Kun Chen, Si-Cheng Zuo, Xiao-Ming Su and James Lin. NeoMPX: Characterizing and Improving Estimation of Multiplexing Hardware Counters for PAPI. IEEE CLUSTER 2020.
• Y.-C. Wang, J.-K. Chen, B.-R. Li, S.-C. Zuo, W. Tang, B. Wang, Q.-C. Liao, R. Xie, and J. Lin, An empirical study of hpc workloads on huawei kunpeng 916 processor, in 2019 IEEE 25th International Conference on Parallel and Distributed Systems (ICPADS), pp. 360-367, IEEE, 2019.
• L. Cai*, Y.-C. Wang, W. Tang, B. Wang, S. Ethier, Z. Liu, and J. Lin, Openacc vs the native programming on sunway taihulight: A case study with gtc-p, in 2018 IEEE International Conference on Cluster Computing (CLUSTER), pp. 88-97, IEEE, 2018.
• Y.-C. Wang, X. Lin, L. Cai, W. Tang, S. Ethier, Bei. Wang, S. See, M. Satoshi. Porting and Optimizing GTC-P on TaihuLight Supercomputer with OpenACC[J]. Journal of Computer Research and Development, 2018, 55(4): 875-884.
• C. Liu, J. Wei, Y.-C. Wang, M. Wen, S. See, and J. Lin, Optimizing deep learning frameworks incrementally to get linear speedup: A comparison between ipoib and rdma verbs, in 2018 IEEE 24th International Conference on Parallel and Distributed Systems (ICPADS), pp. 473-480, IEEE, 2018.
• Y. Wei*, Y. Wang, L. Cai, W. Tang, B. Wang, S. Ethier, S. See, and J. Lin, Performance and portability studies with openacc accelerated version of gtc-p, in 2016 17th International Conference on Parallel and Distributed Computing, Applications and Technologies (PDCAT), pp. 13-18, IEEE, 2016.

(* student mentored by me)

Team Members

Current

Graduate Students

• Jie Wang (CS 2021)
• Jinkun Chen (CS 2022)
• Binrui Li (CS 2022)

Alumni

Graduate Students

• Xinxin Chen (CS 2020) - China Merchants Bank
• Linjin Cai (CS 2019) - SenseTime
• Yueming Wei (CS 2018) - Tencent

Undergraduate Students

• Sicheng Zuo (CS 2020) - Master in CMU
• Yujie Yang (CS 2020)
• Xinyue Han (ECE 2020) - Master in CMU
• Zhijie Huang (IE 2020) - Microsoft
• Ziqiao Wang (ECE 2017) - Master in CUHK
• Qi Lu (CS 2017) - NetEase
• Zhelong Li (CS 2016) - SenseTime