Scholar
Feiyi Wang
Google Scholar ID: 1JMwC1sAAAAJ
Distinguished Research Scientist & Group Leader, Analytics and AI Methods at Scale, NCCS/ORNL
Citations & Impact
Citations
1,729
H-index
22
i10-index
48
Publications
20
Co-authors
72
list available
Publications
Resume (English only)
Academic Achievements
- 2024 R&D 100 Award Winner: UnifyFS – A filesystem for Burst Buffers, developed by LLNL, ORNL, and the University of Illinois’ National Center for Supercomputing Applications
- 2023 R&D 100 Award Finalist: OpenMxP – Open Mixed Precision Computing
- IPDPS’23 Best Paper Finalist (top 1%): DeepThermo – Deep Learning Accelerated Parallel Monte Carlo Sampling for Thermodynamic Evaluation of High Entropy Alloys
- 2022 UT-Battelle Award for Distinguished Innovation and Director’s Award: For instrumental role in developing HPL-AI benchmarks at ORNL
- 2022 UT-Battelle Award for Research Accomplishment: For pioneering monitoring and data analytics capabilities extracting insights from high-volume, high-velocity, high-variety HPC data streams
- SC’22 Gordon Bell Covid Special Finalist: TwoFold – Highly accurate structure and affinity prediction for protein-ligand complexes from sequences
- Bench’21 Best Paper Award: Comparative evaluation of deep learning workloads for leadership-class systems
- SC’21 Best Paper Award: Revealing Power, Energy, and Thermal Dynamics of a 200PF Pre-Exascale Supercomputer
- SC’21 Gordon Bell Covid Special Finalist: Language models for the prediction of SARS-CoV-2 inhibitors
- 2019 Significant Event Award (SEA): For significant contribution to the Acceptance Testing of the Summit Supercomputer at ORNL
- HPCC’17 Best Paper Finalist: Analysis and Modeling of the End-to-End I/O Performance in OLCF’s Titan Supercomputer
- SBAC-PAD’16 Best Paper Finalist: Using Balanced Data Placement to Address I/O challenges
