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.

  • A Framework for Auto-Parallelization and Code Generation: An Integrative Case Study with Legacy FORTRAN Codes.
    Konstantinos Krommydas, Paul Sathre, Ruchira Sasanka, Wu-chun Feng.
    In Proceedings of the 47th International Conference on Parallel Processing (ICPP), Eugene, OR, August 2018.
       
  • I/O Bottleneck Investigation in Deep Learning Systems.
    Sarunya Pumma, Min Si, Wu-chun Feng, Pavan Balaji.
    In The 47th International Conference on Parallel Processing (ICPP), Eugene, Oregon, August 2018.
    Best Student Poster Award
       
  • CommAnalyzer: Automated Estimation of Communication Cost and Scalability on HPC Clusters from Sequential Code.
    Ahmed E. Helal, Changhee Jung, Wu-chun Feng, Yasser Y. Hanafy.
    In Proceedings of the 27th International Symposium on High-Performance Parallel and Distributed Computing (ACM HPDC 2018), Tempe, Arizona, USA, June 2018.
       
  • Taming Irregular Applications via Advanced Dynamic Parallelism on GPUs.
    Jing Zhang, Ashwin M. Aji, Michael L. Chu, Hao Wang, Wu-chun Feng.
    In Proceedings of the 2018 ACM International Conference on Computing Frontiers (CF), Ischia, Italy, May 2018.
       
  • A Framework for the Automatic Vectorization of Parallel Sort on x86-based Processors.
    Kaixi Hou, Hao Wang, Wu-chun Feng.
    In IEEE Transactions on Parallel and Distributed Systems, 29 (5): 958-972, May 2018.
       
  • GPU Power Prediction via Ensemble Machine Learning for DVFS Space Exploration.
    Bishwajit Dutta, Vignesh Adhinarayanan, Wu-chun Feng.
    In Proceedings of the 2018 ACM International Conference on Computing Frontiers (CF), Ischia, Italy, May 2018.
       
  • Highly Efficient Compensation-based Parallelism for Wavefront Loops on GPUs.
    Kaixi Hou, Hao Wang, Wu-chun Feng, Jeffrey S. Vetter, Seyong Lee.
    In Proceedings of the 32nd IEEE International Parallel and Distributed Processing Symposium (IPDPS), Vancouver, British Columbia, Canada, May 2018.
       

More ...