Research Interests:

Big Data; Parallel Computing; and Architecture Optimization.

Web Pages:

Home Page: http://pacman.cs.tsinghua.edu.cn/~zf/

GitHub: https://github.com/zhangfengthu

LinkIn: https://www.linkedin.com/in/feng-zhang

Education Background:

1.      Sep. 2012 ~ Present: Ph.D. Candidate in Computer Science, Institute of High-Performance Computing, Department of Computer Science and Technology, Tsinghua University. Advisor: Prof. Wenguang Chen and Prof. Jidong Zhai.

(High Performance Computing)

2.      Sep. 2008 ~ Jul. 2012: B.S. in School of Computer Science and Technology, Xidian University.

Conference Papers:

1.      Feng Zhang, Jidong Zhai, Wenguang Chen, Bingsheng He and Shuhao ZhangHe. FinePar: Irregularity-Aware Fine-Grained Workload Partitioning on Integrated Architectures, CGO 2017. To Appear Soon.

2.      Feng Zhang, Jidong Zhai, Wenguang Chen, Bingsheng He and Shuhao Zhang, To Co-Run, or Not To Co-Run: A Performance Study on Integrated Architectures. IEEE 23nd International Symposium on Modeling, Analysis and Simulation of Computer and Telecommunication Systems (MASCOTS'15), October 5-7, 2015, Atlanta, GA, USA. [SLIDES] [CODE]

3.      Feng Zhang, and Liang Chen, HPC-Oriented Power Evaluation Method. IEEE 44th International Conference on Parallel Processing Workshops (ICPPW), September 1-4, 2015, Beijing, China. [SLIDES]

4.      Junli Gu, Maohua Zhu, Zhitao Zhou, Feng Zhang, Zhen Lin, Qianfeng Zhang, Mauricio Breternitz, Implementation and Evaluation of Deep Neural Networks (DNN) on Mainstream Heterogeneous Systems. Proceedings of 5th Asia-Pacific Workshop on Systems (APSys’14), ACM, June 25-26, 2014, Beijing, China.

Journal Papers:

1.      Feng Zhang, Jidong Zhai, Bingsheng He, Shuhao Zhang, Wenguang Chen, Understanding Co-running Behaviors on Integrated CPU/GPU Architectures, IEEE Transactions on Parallel and Distributed Systems (TPDS), DOI: 10.1109/TPDS.2016.2586074. Print ISSN: 1045-9219. [CODE]

2.      ZHAI JiDong, ZHANG Feng, LI QingWen, CHEN WenGuang, ZHENG WeiMin, Characterizing and optimizing TPC-C workloads on large-scale systems using SSD arrays. SCIENCE CHINA Information Sciences, Published: 19 April 2015.

Research and Development Experience:

1.      August 2013 - December 2013: Internship, Deep Neural Networks Research Group, AMD, Beijing, China.

2.      April 2016 - November 2016: Visiting Scholar, Compiler and System Research Group, NC State University, Raleigh, North Carolina, USA.

Recent Awards & Honors:

1.      “Guanghua Scholarship” of Tsinghua University ("清华之友-光华二等奖学金 综合三等", Third-Class Scholarship), Oct. 2013.

2.      “Guanghua Scholarship” of Tsinghua University ("清华之友-光华二等奖学金 综合三等", Third-Class Scholarship), Oct. 2014.

3.      “Guanghua Scholarship” of Tsinghua University ("清华之友-光华一等奖学金 综合二等", Second-Class Scholarship), Oct. 2015.

4.      “National Scholarship” ("国家奖学金"), Oct, 2016.

Projects:

1.      MPMD 863 Project. A performance tool that can analyze MPI trace.

2.      China Grid 863 Project. HPC evaluation for large clusters in China.[WebLink]

3.      CoRunBench. Benchmark for Co-running Single Applications on Integrated Architectures.[WebLink]