Meng Hao (郝萌)

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Meng Hao received the BS degree in computer science and engineering from Harbin Institute of Technology, China, in 2014. He is currently working toward the PhD degree in the School of Computer Science and Technology, Harbin Institute of Technology. His research interests include high performance computing, performance modeling, parallel optimization.

Email contact: haomeng (at) hit (dot) edu (dot) cn OR haomenghit (at) gmail (dot) com.

Find me in Github, ResearchGate, GoogleScholar, and Publons.

¶Research Interests

•  High Performance Computing, Performance Modeling, Parallel Optimization.

¶Education

•  Sep. 2015 - present, Ph.D candidate, Harbin Institute of Technology (HIT), Harbin, China.

  •  Major: Computer Science, Advisor: Prof. Weizhe Zhang.

•  Sep. 2014 - Jul. 2015, M.S., Harbin Institute of Technology (HIT), Harbin, China

  •  Major: Computer Science, Advisor: Prof. Weizhe Zhang.

•  Sep. 2010 - Jul. 2014, B.E., Harbin Institute of Technology (HIT), Harbin, China

  •  Major: Computer Science

¶Publications

¶Papers

• Meng Hao, Weizhe Zhang, Yiming Wang, Dong Li, Wen Xia, Laurence Tianruo Yang and Chen Lou, Multi-Parameter Performance Modeling Based on Machine Learning with Basic Block Features, The 17th International Symposium on Parallel and Distributed Processing with Applications (ISPA’19) (accept).
• Meng Hao, Weizhe Zhang, Laurence T. Yang, PROFPRED: A Compiler-level IR based Performance Prediction Framework for MPI Industrial Applications, The 21st IEEE International Conference on High Performance Computing and Communication (HPCC’19) (accept).
•  Meng Hao, Weizhe Zhang, You Zhang, Marc, Snir, Laurence T. Yang, Automatic generation of benchmarks for I/O-intensive parallel applications, Journal of Parallel and Distributed Computing, 2019 , 124: 1–13.
•  Weizhe Zhang, Meng Hao, Marc Snir, Predicting HPC parallel program performance based on LLVM compiler, Cluster Computing, 2017 , 20(2): 1179–1192.
•  Weizhe Zhang, Meng Hao, Zhiyong Xu, Communication optimization for RDMA-based science data transmission tools, The Journal of Supercomputing, 2016 , 72(9): 3312–3327
•  王德胜, 张伟哲, 郝萌, 鲁刚钊, 白恩慈. 云计算环境中虚拟机内存自适应调节算法研究. 计算机科学与探索, 2017, 11(1): 70-79.

¶Books

•  (法) Frank Nielsen著. 基于MPI的大数据高性能计算导论. 张伟哲, 郝萌, 鲁刚钊, 王德胜, 孙博文,译. 机械工业出版社, 2018.

¶Teaching Experience

•  TA, C Language Programming, Fall, 2015.

•  TA, Parallel Computing, Spring 2016, 2017 and 2018.

¶Projects

•  National Key Research and Development Plan, Jul. 2017 - Jun. 2021.

¶Honors and Awards

•  National College Students Innovation Experiment Project, Frist Prize, 2011.

•  People’s Scholarship, 2012, 2013.

•  National Parallel Application Challenge (PAC2016), Bronze Prize (7/256), 2016.

•  National Graduate Scholarship (Ph.D. candidate), 2018.

¶Professional Services

•  Journal Reviewer: IEEE TC