High-Performance Computing Simulation and Data Science

Project Highlights

 
FY2022

Click on any of the project titles below to view a brief project summary,
or return to our Project Highlights page to view lists of FY22 projects in other research categories.

Project Title Project Code Principal Investigator Project Type Project Status
Knowledge-Driven Machine Learning 21-ERD-012 Jayaraman Jayaraman Thiagarajan Exploratory Research Continuing
Achieving Peak Performance of High-Performance Computing Applications by Optimizing Parallelism Compilation 21-ERD-018 Giorgis Georgakoudis Exploratory Research Continuing
Interactive Exploratory Graph-Enabled Data Analytics at High-Performance Computing Scales 21-ERD-020 Roger Pearce Exploratory Research Continuing
Cross-Scale Modeling for Component Scale Simulations 21-ERD-022 Matthew Nelms Exploratory Research Continuing
DENAS: Deep Neuroevolution at Scale 21-ERD-026 Brian Van Essen Exploratory Research Continuing
Exact Representation of Curved Material Interfaces and Boundaries in High-Order Finite Element Simulations 21-ERD-031 Vladimir Tomov Exploratory Research Continuing
An Experimentally Validated Synergistic Membrane Model 21-ERD-047 Timothy Carpenter Exploratory Research Continuing
Improving Extrapolation Behavior in Deep Neural Networks 22-ERD-006 Rushil Anirudh Exploratory Research Continuing
Adaptive Sampling for Risk-Averse Design and Optimization 22-ERD-009 Boyan Lazarov Exploratory Research Continuing
Large-Scale Shape Optimization with Conformal Meshes 22-ERD-023 Jorge Barrera Cruz Exploratory Research Continuing
Next-Generation Implicit Neural Representation for Ill-Posed and Dynamic Computed Tomography Reconstruction 22-ERD-032 Hyojin Kim Exploratory Research Continuing
High-Performance Computing Force Multiplier: Leading the Way for Extreme-Scale Converged Computing 22-ERD-041 Daniel Milroy Exploratory Research Continuing
Reliable Decentralized Solvers in Unreliable Computing Environments 22-ERD-045 Alyson Fox Exploratory Research Continuing
Robust Control of Scientific Simulations with Deep Reinforcement Learning 21-SI-001 Daniel Faissol Strategic Initiative Continuing
Automated Software Integration 21-SI-005 George Gamblin Strategic Initiative Continuing
Decision Superiority 22-SI-001 Daniel Merl Strategic Initiative Continuing
Autonomous MultiScale: Embedded Machine Learning for Smart Simulations 22-SI-004 Peer-Timo Bremer Strategic Initiative Continuing
Designing Asynchronous Circuits for Dynamic Machine Learning Adaptation 22-DR-009 Maya Gokhale Disruptive Research Continuing
Probabilistic Models for Dynamic Hypergraphs with Content 20-ERD-049 Grant Boquet Exploratory Research Final
Scientific Machine Learning at Extreme Scale: Optimal Control for Deep Learning in High-Performance Computing 21-ERD-051 Stefanie Guenther Exploratory Research Final