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
Learning to Solve Faster with Data-Driven Algebraic Multigrid Methods 23-FS-031 Ruipeng Li Feasibility Study Final
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
Robust Control of Scientific Simulations with Deep Reinforcement Learning 21-SI-001 Daniel Faissol Strategic Initiative Final
Knowledge-Driven Machine Learning 21-ERD-012 Jayaraman Jayaraman Thiagarajan Exploratory Research Final
Achieving Peak Performance of High-Performance Computing Applications by Optimizing Parallelism Compilation 21-ERD-018 Giorgis Georgakoudis Exploratory Research Final
Interactive Exploratory Graph-Enabled Data Analytics at High-Performance Computing Scales 21-ERD-020 Roger Pearce Exploratory Research Final
Cross-Scale Modeling for Component Scale Simulations 21-ERD-022 Matthew Nelms Exploratory Research Final
DENAS: Deep Neuroevolution at Scale 21-ERD-026 Brian Van Essen Exploratory Research Final
Exact Representation of Curved Material Interfaces and Boundaries in High-Order Finite Element Simulations 21-ERD-031 Vladimir Tomov Exploratory Research Final