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.

  • On the Portability of GPU-Accelerated Applications via Automated Source-to-Source Translation.
    Paul Sathre, Mark Gardner, Wu-chun Feng.
    In Proceedings of the HPC Asia: International Conference on High Performance Computing in Asia-Pacific Region, Guangzhou, China, January 2019.
       
  • Identifying Transcriptional Regulatory Modules among Different Chromatin States in Mouse Neural Stem Cells.
    Sharmi Banerjee, Hongxiao Zhu, Man Tang, Wu-chun Feng, Hehuang Xie.
    In Frontiers in Genetics, 9 731, January 2019.
       
  • Differentiating between Cancer and Normal Tissue Samples using Multi-hit Combinations of Genetic Mutations.
    Sajal Dash, Nicholas A. Kinney, Robin T. Varghese, Harold R. Garner, Wu-chun Feng, Ramu Anandakrishnan.
    In Scientific Reports, 9 (1): 1005, January 2019.
       
  • A Composable Workflow for Productive Heterogeneous Computing on FPGAs via Whole-Program Analysis and Transformation.
    Paul Sathre, Ahmed E. Helal, Wu-chun Feng.
    In Proceedings of the International Conference on Reconfigurable Computing and FPGAs (ReConFig), Cancun, Mexico, December 2018.
       
  • Exploring FPGA-specific Optimizations for Irregular OpenCL Applications.
    Mohamed W. Hassan, Ahmed E. Helal, Peter M. Athanas, Wu-chun Feng, Yasser Y. Hanafy.
    In Proceedings of the International Conference on Reconfigurable Computing and FPGAs (ReConFig), Cancun, Mexico, December 2018.
       
  • 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
       

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