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
Designing Asynchronous Circuits for Dynamic Machine Learning Adaptation 22-DR-009 Maya Gokhale Disruptive Research Continuing
DENAS: Deep Neuroevolution at Scale 21-ERD-026 Brian Van Essen Exploratory Research Continuing
Deep Facial Representation for Quantification of Emotion Dynamics 22-FS-032 Piyush Karande Feasibility Study Final
Decision Superiority 22-SI-001 Daniel Merl Strategic Initiative Continuing
Decentralized Autonomous Networks for Cooperative Estimation 20-SI-005 Ryan Goldhahn Strategic Initiative Final
Cross-Scale Modeling for Component Scale Simulations 21-ERD-022 Matthew Nelms Exploratory Research Continuing
Beating Monte Carlo: The Polynomial Method in Lattice Problems 19-DR-013 Christian Scullard Disruptive Research Final
Autonomous MultiScale: Embedded Machine Learning for Smart Simulations 22-SI-004 Peer-Timo Bremer Strategic Initiative Continuing
Automated Software Integration 21-SI-005 George Gamblin Strategic Initiative Continuing
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
An Experimentally Validated Synergistic Membrane Model 21-ERD-047 Timothy Carpenter Exploratory Research Continuing
Adaptive Sampling for Risk-Averse Design and Optimization 22-ERD-009 Boyan Lazarov Exploratory Research Continuing
Active Learning for Rapid Design of Vaccines and Antibodies 20-ERD-032 Thomas Desautels Exploratory Research Final
Achieving Peak Performance of High-Performance Computing Applications by Optimizing Parallelism Compilation 21-ERD-018 Giorgis Georgakoudis Exploratory Research Continuing