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
Reliable Decentralized Solvers in Unreliable Computing Environments 22-ERD-045 Alyson Fox Exploratory Research Continuing
Safe and Trustworthy Machine Learning 20-ERD-014 Bhavya Kailkhura Exploratory Research Final
Adaptive Sampling for Risk-Averse Design and Optimization 22-ERD-009 Boyan Lazarov Exploratory Research Continuing
Hypothesis Testing via Artificial Intelligence: Generating Physically Interpretable Models of Scientific Data with Machine Learning 19-DR-003 Brenden Petersen Disruptive Research Final
DENAS: Deep Neuroevolution at Scale 21-ERD-026 Brian Van Essen Exploratory Research Continuing
Beating Monte Carlo: The Polynomial Method in Lattice Problems 19-DR-013 Christian Scullard Disruptive Research Final
Robust Control of Scientific Simulations with Deep Reinforcement Learning 21-SI-001 Daniel Faissol Strategic Initiative Continuing
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
Automated Software Integration 21-SI-005 George Gamblin Strategic Initiative Continuing
Achieving Peak Performance of High-Performance Computing Applications by Optimizing Parallelism Compilation 21-ERD-018 Giorgis Georgakoudis Exploratory Research Continuing
Probabilistic Models for Dynamic Hypergraphs with Content 20-ERD-049 Grant Boquet Exploratory Research Final
Virtual Inspections: Fast and Intuitive Inspections of Manufactured Parts in Virtual Reality 22-FS-026 Haichao Miao Feasibility Study Final
Approximate High-Performance Computing: A Fast and Energy-Efficient Computing Paradigm in the Post-Moore Era 20-ERD-043 Harshitha Menon Gopalakrishnan Menon Exploratory Research Final
Next-Generation Implicit Neural Representation for Ill-Posed and Dynamic Computed Tomography Reconstruction 22-ERD-032 Hyojin Kim Exploratory Research Continuing
Zeroth-Order Machine Learning for Flexible Integration of Domain Knowledge 22-FS-019 James Diffenderfer Feasibility Study Final
Knowledge-Driven Machine Learning 21-ERD-012 Jayaraman Jayaraman Thiagarajan Exploratory Research Continuing
Large-Scale Shape Optimization with Conformal Meshes 22-ERD-023 Jorge Barrera Cruz Exploratory Research Continuing
Learning a Nonlinear Solver Optimized to Solve the Problem of Electron Density and Effective Atomic Number Reconstruction 21-FS-013 Kadri Aditya Mohan Feasibility Study Final
Cross-Scale Modeling for Component Scale Simulations 21-ERD-022 Matthew Nelms Exploratory Research Continuing