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
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
Scalable Methods for Contact with Optimization 23-ERD-017 Cosmin Petra Exploratory Research Continuing
Localizing and Explaining Performance Defects in Heterogeneous Applications 23-ERD-022 Konstantinos Parasyris Exploratory Research Continuing
Knowledge Extraction and Injection Via Concept-Level Reasoning in Scientific Machine Learning 23-ERD-029 Shusen Liu Exploratory Research Continuing
ForwardProp is a Novel Gradient-Free Learning Paradigm for Integrating Deep Neural Nets with Scientific Simulations 23-ERD-030 James Diffenderfer Exploratory Research Continuing
Accelerating Time-integrators with Surrogate Models 23-ERD-048 Steven Roberts Exploratory Research Continuing
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
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
CROSSWALK 23-SI-001 Strategic Initiative Continuing
Designing Asynchronous Circuits for Dynamic Machine Learning Adaptation 22-DR-009 Maya Gokhale Disruptive 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
Toward the Intelligent Center for High-Performance Computing 23-ERD-045 Jae-Seung Yeom Exploratory Research Final
Multilevel Markov chain Monte Carlo Sampling Methods for Discrete Graph Problems 23-FS-008 Sarah Mackay Feasibility Study Final
Leveraging Machine Learning Hardware in Time Integration Algorithms 23-FS-013 Cody Balos Feasibility Study Final