Feiyi Wang Distinguished Research Scientist & Group Leader Contact fwang2@ornl.gov | 865.574.7209 All Publications Distributed Multi-GPU Community Detection on Exascale Computing Platforms... 2022 Operational Assessment - OLCF... FORGE: Pre-Training Open Foundation Models for Science TwoFold: Highly accurate structure and affinity prediction for protein-ligand complexes from sequences High-performance computing leadership to enable advances in artificial intelligence and a thriving compute ecosystem... Evaluation of pre-training large language models on leadership-class supercomputers Scaling Resolution of Gigapixel Whole Slide Images Using Spatial Decomposition on Convolutional Neural Networks... DeepThermo: Deep Learning Accelerated Parallel Monte Carlo Sampling for Thermodynamics Evaluation of High Entropy Alloys Toward an Autonomous Workflow for Single Crystal Neutron Diffraction... Climbing the Summit and Pushing the Frontier of Mixed Precision Benchmarks at Extreme Scale Language Models for the Prediction of SARS-CoV-2 Inhibitors... Hvac: Removing I/O Bottleneck for Large-Scale Deep Learning Applications Access Patterns and Performance Behaviors of Multi-layer Supercomputer I/O Subsystems under Production Load... Machine Learning Assisted HPC Workload Trace Generation for Leadership Scale Storage Systems... Strategies for Integrating Deep Learning Surrogate Models with HPC Simulation Applications... A Scalable Pipeline for Gigapixel Whole Slide Imaging Analysis on Leadership Class HPC Systems... Smoky Mountain Data Challenge 2021: An Open Call to Solve Scientific Data Challenges Using Advanced Data Analytics and Edge Computing Building an Integrated Ecosystem of Computational and Observational Facilities to Accelerate Scientific Discovery... Characterizing Machine Learning I/O Workloads on Leadership Scale HPC Systems... Mitigating Catastrophic Forgetting in Deep Learning in a Streaming Setting Using Historical Summary Revealing power, energy and thermal dynamics of a 200PF pre-exascale supercomputer... Comparative evaluation of deep learning workloads for leadership-class systems... The Challenge of Disproportionate Importance of Temporal Features in Predicting HPC Power Consumption... Interpreting Write Performance of Supercomputer I/O Systems with Regression Models... US Department of Energy, Office of Science High Performance Computing Facility Operational Assessment 2019 Oak Ridge Leadersh... Pagination Current page 1 Page 2 Page 3 Next page ›› Last page Last » Key Links ORCID Organizations Computing and Computational Sciences Directorate National Center for Computational Sciences Advanced Technologies Section Analytics & AI Methods at Scale Group