Wu-chun Feng

Wu-chun Feng (a.k.a. "Wu")

Director
SyNeRGy Laboratory

Professor
Dept. of CS
Dept. of ECE
Health Sciences

Other Affiliations
CHREC | VBI |
Wireless @ VT

Profiles
Google Scholar

Contact

Office:
Torgersen Hall 2050
620 Drillfield Drive (Alumni Mall)
Blacksburg, VA.
24061. [map]
Phone:
(540) 231-1192
Fax:
(540) 231-9218
Email:
feng [at] cs.vt.edu

Virginia Tech

Publications

For electronic version of publications please visit the Synergy Lab. web site.

  • Robotomata: A Framework for Approximate Pattern Matching of Big Data on an Automata Processor.
    Xiaodong Yu, Kaixi Hou, Hao Wang, Wu-chun Feng.
    In Proceedings of the IEEE International Conference on Big Data, Boston, MA, December 2017.
       
  • Towards Scalable Deep Learning via I/O Analysis and Optimization.
    Sarunya Pumma, Min Si, Wu-chun Feng, Pavan Balaji.
    In Proceedings of the IEEE International Conferences on High Performance Computing and Communications (HPCC), Bangkok, Thailand, December 2017.
       
  • Parallel I/O Optimizations for Scalable Deep Learning.
    Sarunya Pumma, Min Si, Wu-chun Feng, Pavan Balaji.
    In Proceedings of the IEEE International Conference on Parallel and Distributed Systems (ICPADS), Shenzhen, China, December 2017.
       
  • A Framework for Fast and Fair Evaluation of Automata Processing Hardware.
    Xiaodong Yu, Kaixi Hou, Hao Wang, Wu-chun Feng.
    In IEEE International Symposium on Workload Characterization (IISWC), Seattle, WA, October 2017.
       
  • AutoMatch: An Automated Framework for Relative Performance Estimation and Workload Distribution on Heterogeneous HPC Systems.
    Ahmed E. Helal, Wu-chun Feng, Changhee Jung, Yasser Y. Hanafy.
    In Proceedings of the IEEE International Symposium on Workload Characterization (IISWC), Seattle, WA, October 2017.
       
  • A Runtime Estimation Framework for ALICE.
    Sarunya Pumma, Wu-chun Feng, Phond Phunchongharn, Sylvain Chapeland, Tiranee Achalakul.
    In Future Generation Computer Systems, 72 65-77, July 2017.
       
  • A Non-Invasive Approach for Realizing Resilience in MPI.
    Umar Kalim, Mark K. Gardner, Wu-chun Feng.
    In Proceedings of the 7th Workshop on Fault Tolerance for HPC at eXtreme Scale (FTXS), in conjunction with the 26th ACM Symposium on High-Performance Parallel and Distributed Computing, Washington DC, June 2017.
       

More ...