High-Performance Computing Simulation and Data Science

Project Highlights

 
FY2021

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 FY21 projects in other research categories.

Project Title Project Code Principal Investigator Project Type Project Status
Achieving Peak Performance of High-Performance Computing Applications by Optimizing Parallelism Compilation 21-ERD-018 Giorgis Georgakoudis Exploratory Research Continuing
Active Learning for Rapid Design of Vaccines and Antibodies 20-ERD-032 Thomas Desautels Exploratory Research Continuing
Advanced Physics Models for Particle-to-Particle Interactions 19-ERD-025 Kambiz Salari Exploratory Research Final
An Experimentally Validated Synergistic Membrane Model 21-ERD-047 Timothy Carpenter Exploratory Research Continuing
Approximate High-Performance Computing: A Fast and Energy-Efficient Computing Paradigm in the Post-Moore Era 20-ERD-043 Harshitha Gopalakrishnan Menon Exploratory Research Continuing
Automated Software Integration 21-SI-005 George Todd Gamblin Strategic Initiative Continuing
Automatic Design of Transport Systems Through Topology Optimization on Adaptively Refined Computational Grids 19-ERD-035 Victor Beck Exploratory Research Final
Beating Monte Carlo: The Polynomial Method in Lattice Problems 19-DR-013 Christian Scullard Disruptive Research Continuing
Cross-Scale Modeling for Component Scale Simulations 21-ERD-022 Matthew Nelms Exploratory Research Continuing
Decentralized Autonomous Networks for Cooperative Estimation 20-SI-005 Ryan Goldhahn Strategic Initiative Continuing
DENAS: Deep Neuroevolution at Scale 21-ERD-026 Samson Jacobs Exploratory Research Continuing
Efficient Reduced-Order Models for Multi-Physics Simulations 21-FS-042 Youngsoo Choi Feasibility Study Final
Exact Representation of Curved Material Interfaces and Boundaries in High-Order Finite Element Simulations 21-ERD-031 Vladimir Tomov Exploratory Research Continuing
Heterogeneous Computing Elements: A Quantitative Evaluation 19-ERD-004 Maya Gokhale Exploratory Research Final
High-Performance Parallel Simulations for Whole-Cell Modeling 19-ERD-030 Ali Navid Exploratory Research Final
Hypothesis Testing via Artificial Intelligence: Generating Physically Interpretable Models of Scientific Data with Machine Learning 19-DR-003 Brenden Petersen Disruptive Research Continuing
Interactive Exploratory Graph-Enabled Data Analytics at High-Performance Computing Scales 21-ERD-020 Roger Pearce Exploratory Research Continuing
Knowledge-Driven Machine Learning 21-ERD-012 Jayaraman Jayaraman Thiagarajan 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 Continuing
Machine Learning-Driven Dynamic Four-Dimensional X-Ray Computed Tomography Reconstruction 20-FS-010 Hyojin Kim Feasibility Study Final