Wu-chun Feng

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

SyNeRGy Laboratory

Dept. of CS
Dept. of ECE
Health Sciences

Other Affiliations
Wireless @ VT

Google Scholar


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

Virginia Tech


  • ( 03/06/19 )
    Paper Accepted to ACM CF 2019
    Cui and Feng have their paper — Iterative Machine Learning (IterML) for Effective Parameter Pruning and Tuning in Accelerators — accepted for publication in the 16th ACM International Conference on Computing Frontiers to be held in Alghero, Sardinia, Italy in April-May 2019.

  • ( 12/22/18 )
    Paper Accepted to Frontiers in Genetics
    Banerjee and Feng, in collaboration with Zhu, Tang, Wu, and Xie of Bradley Department of Electrical and Computer Engineering at Virginia Tech, have their paper — Identifying Transcriptional Regulatory Modules among Different Chromatin States in Mouse Neural Stem Cells — accepted for publication into Frontiers in Genetics, section Epigenomics and Epigenetics.

  • ( 12/15/18 )
    Paper Accepted to Scientific Reports
    Dash and Feng, in collaboration with Anandakrishnan, Kinney, Varghese, and Garner of VCOM at Virginia Tech, have their paper — Differentiating Between Cancer and Normal Tissue Samples Using Multi-Hit Combinations of Genetic Mutations — accepted for publication into Scientific Reports (A Nature Research Journal). The 2017 journal metrics — 2-year impact factor: 4.122 and 5-year impact factor: 4.609.

  • ( 10/31/18 )
    Paper Accepted to HPC Asia 2019
    Sathre, Gardner, and Feng, have their paper — On the Portability of GPU-Accelerated Applications via Automated Source-to-Source Translation — accepted for publication at HPC Asia: International Conference on High Performance Computing in Asia-Pacific Region to be held in Guangzhou, China in January 2019.

  • ( 10/05/18 )
    Papers Accepted to ReConFig 2018
    Three papers — A Composable Workflow for Productive Heterogeneous Computing on FPGAs via Whole-Program Analysis and Transformation by Sathre, Helal, and Feng; Accelerating High-Performance Computing Workloads on FPGAs via OpenCL by Verma, Krommydas, and Feng; and Exploring FPGA-specific Optimizations for Irregular OpenCL Applications by Hassan, Helal, and Feng, in collaboration with Athanas and Hanafy of ECE — have been accepted for publication at the International Conference on Reconfigurable Computing and FPGAs (ReConFig) to be held in Cancun, Mexico on December 3-5, 2018.

  • ( 08/17/18 )
    Best Poster Award at ICPP 2018
    Congratulations to Sarunya (“Kwang”) Pumma for getting her poster, “I/O Bottleneck Investigation in Deep Learning Systems,” selected as the Best Student Poster at the 47th International Conference on Parallel Processing.

  • ( 08/17/18 )
    The 9th Doctoral Degree from the Synergy Lab
    Official congratulations to Dr. Kaixi Hou for receiving his PhD degree for "Exploring Performance Portability for Accelerators via High-level Parallel Patterns." He started his direct Ph.D. degree in 2013 and is the 9th awardee of the Synergy Lab. Best wishes to him on his Software Engineer position at NVIDIA!

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