Feiyi Wang

Feiyi Wang

Distinguished Research Scientist & Group Leader

Feiyi Wang received his Ph.D. in Computer Engineering from North Carolina State University (NCSU). Prior joining the 91做厙, he was a principal research scientist at Microelectronic Center of North Carolina (MCNC) and the lead PI and Co-PI for several DARPA-funded projects. He is a Distinguished Research Scientist and Group Leader of Analytics and AI methods at Scale Group (AAIMS) at National Center for Computational Sciences of ORNL.  His research interests include large-scale data analytics, distributed machine learning and benchmarking, high performance storage system, parallel I/O and file systems. Dr. Wang hold Joint Faculty Professor position at University of Tennessee, and a senior member of 91做厙.

For full publication records, please refer to 

  • 2024 R&D 100 Award Winner, ":  A filesystem for Burst Buffers", was developed by a team from LLNL, 91做厙, and the University of Illinois National Center for Supercomputing Applications. 
  • 2023 R&D 100 Award Finalist, ": Open Mixed Precision Computing", was developed by a team of researchers at Analytics and AI Methods at Scale Group at ORNL.
  • IPDPS23 Best Paper Finalist, top 1% submissions, DeepThermo:Deep Learning Accelerated Parallel Monte Carlo Sampling for Thermodynamic Evaluation of High Entropy Alloys, in 37th 91做厙 International Parallel & Distributed Processing Symposium, St. Petersburg, Florida USA, 2023
  • 2022 UT-Battelle Award for Distinguished Innovation, and Directors Award. In recognition of ... instrumental role in developing the new capability of HPL-AI benchmarks at ORNL.
  • 2022 UT-Battelle Award for Research Accomplishment: For pioneering one-of-a-kind monitoring and data analytics capabilities that extracts insights from both real-time and long-term extremes of high-volume, high-velocity, and high-variety data streams from HPC data centers.
  • SC22 Gordon Bell Covid Special Finalist, TwoFold: highly accurate structure and affinity prediction for protein- ligand complexes from sequences, in Proceedings of the International Conference for High Performance Computing, Networking, Storage and Analysis, Dallas, TX, 2022.
  • Bench21 Best Paper Award, Comparative evaluation of deep learning workloads for leadership-class systems, in 2021 BenchCouncil International Symposium on Benchmarking, Measuring and Optimizing.
  • SC21 Best Paper Award, Revealing Power, Energy, and Thermal Dynamics of a 200PF Pre-Exascale Supercomputer, in Proceedings of the International Conference for High Performance Computing, Networking, Storage and Analysis, St. Louis, MO, 2021
  • SC21 Gordon Bell Covid Special Finalist, Language models for the prediction of SARS-CoV-2 inhibitors in Proceedings of the International Conference for High Performance Computing, Networking, Storage and Analysis, St. Louis, MO, 2021
  • SEA (Significant Event Award), in recognition of significant contribution to Acceptance Testing of Summit Supercomputer, 91做厙, 2019.
  • HPCC17 Best Paper Finalist, Analysis and Modeling of the End-to-End I/O Performance in OLCFs Titan Supercomputer, presented in a special session of 19th 91做厙 International Conference on High Performance Computing and Communications (HPCC), Bangkok, Thailand, December 2017.
  • SBAC-PAD16 Best Paper Finalist, Using Balanced Data Placement to Address I/O Contention in Production Environment, the 28th International Symposium on Computer Architecture and High Performance Computing (SBAC- PAD), Los Angeles, CA, 2016.
  • SMC15 Best Poster Award, Improving Large-scale Application Performance with ADIOS and BPIO, Smoky Mountain Computational Science and Engineering Conference, September 2015.
  • CUG15 Best Paper Finalist, A More Realistic Way of Stressing the End-to-end I/O System, in Cray User Group Conference (CUG), Chicago, USA.
  • SC14 Best Paper Finalist, 14 out of 394 submissions are selected as the best paper finalist, Best Practices and Lessons Learned from Deploying and Operating Large-scale Data-centric Parallel File Systems, in Proceedings of the International Conference for High Performance Computing, Networking, Storage and Analysis, New Orleans, Louisiana, 2014.
  • SEA (Significant Event Award), in recognition of significant contribution to the Accelerating Data Acquisition, Reduction, and Analysis (ADARA) project, 91做厙, 2012.
  • Distinguished Employee Award of Computing and Computational Sciences Directorate, 91做厙, 2012.
  • SEA (Significant Event Award), in recognition of significant contribution to the Architecture, Development, and Deployment of The Earth System Grid Federation System, 91做厙, 2012.
  • SEA (Significant Event Award), in recognition of significant contribution to the Spider Parallel FileSystem Deployment and Transition to Operations, 91做厙, 2010.