High-Performance Computing, Simulation, and Data Science

Project Highlights

 
FY2023

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 FY23 projects in other research categories.

Project Title Project Code Principal Investigator Project Type Project Status
CROSSWALK 23-SI-001 Strategic Initiative Continuing
Reliable Decentralized Solvers in Unreliable Computing Environments 22-ERD-045 Alyson Fox Exploratory Research Continuing
Adaptive Sampling for Risk-Averse Design and Optimization 22-ERD-009 Boyan Lazarov Exploratory Research Continuing
DENAS: Deep Neuroevolution at Scale 21-ERD-026 Brian Van Essen Exploratory Research Final
Revisiting Consistency Models for High Performance Computing Input/Output: Can We Finally Ditch Portable Operating System Interface? 23-ERD-053 Chen Wang Exploratory Research Continuing
Leveraging Machine Learning Hardware in Time Integration Algorithms 23-FS-013 Cody Balos Feasibility Study Final
Scalable Methods for Contact with Optimization 23-ERD-017 Cosmin Petra Exploratory Research Continuing
Robust Control of Scientific Simulations with Deep Reinforcement Learning 21-SI-001 Daniel Faissol Strategic Initiative Final
Decision Superiority 22-SI-001 Daniel Merl Strategic Initiative Continuing
High-Performance Computing Force Multiplier: Leading the Way for Extreme-Scale Converged Computing 22-ERD-041 Daniel Milroy Exploratory Research Continuing
Vectorization of Dynamic Subgraphs via Generative Models 23-FS-039 Geoffrey Sanders Feasibility Study Final
Automated Software Integration 21-SI-005 George Gamblin Strategic Initiative Final
Achieving Peak Performance of High-Performance Computing Applications by Optimizing Parallelism Compilation 21-ERD-018 Giorgis Georgakoudis Exploratory Research Final
Next-Generation Implicit Neural Representation for Ill-Posed and Dynamic Computed Tomography Reconstruction 22-ERD-032 Hyojin Kim Exploratory Research Continuing
Toward the Intelligent Center for High-Performance Computing 23-ERD-045 Jae-Seung Yeom Exploratory Research Final
ForwardProp is a Novel Gradient-Free Learning Paradigm for Integrating Deep Neural Nets with Scientific Simulations 23-ERD-030 James Diffenderfer Exploratory Research Continuing
Knowledge-Driven Machine Learning 21-ERD-012 Jayaraman Jayaraman Thiagarajan Exploratory Research Final
Large-Scale Shape Optimization with Conformal Meshes 22-ERD-023 Jorge Barrera Cruz Exploratory Research Continuing
Localizing and Explaining Performance Defects in Heterogeneous Applications 23-ERD-022 Konstantinos Parasyris Exploratory Research Continuing
Cross-Scale Modeling for Component Scale Simulations 21-ERD-022 Matthew Nelms Exploratory Research Final