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
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
Knowledge-Driven Machine Learning 21-ERD-012 Jayaraman Jayaraman Thiagarajan Exploratory Research Continuing
Achieving Peak Performance of High-Performance Computing Applications by Optimizing Parallelism Compilation 21-ERD-018 Giorgis Georgakoudis Exploratory Research Continuing
Interactive Exploratory Graph-Enabled Data Analytics at High-Performance Computing Scales 21-ERD-020 Roger Pearce Exploratory Research Continuing
Cross-Scale Modeling for Component Scale Simulations 21-ERD-022 Matthew Nelms Exploratory Research Continuing
High-Performance Parallel Simulations for Whole-Cell Modeling 19-ERD-030 Ali Navid Exploratory Research Final
Scientific Machine Learning at Extreme Scale: Optimal Control for Deep Learning in High-Performance Computing 21-ERD-051 Stefanie Guenther Exploratory Research Continuing
Modeling Complex Behavior of Lattices to Enable Multiscale Design 20-ERD-020 Seth Watts Exploratory Research Continuing
Heterogeneous Computing Elements: A Quantitative Evaluation 19-ERD-004 Maya Gokhale Exploratory Research Final
Exact Representation of Curved Material Interfaces and Boundaries in High-Order Finite Element Simulations 21-ERD-031 Vladimir Tomov Exploratory Research Continuing
Automatic Design of Transport Systems Through Topology Optimization on Adaptively Refined Computational Grids 19-ERD-035 Victor Beck 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
Beating Monte Carlo: The Polynomial Method in Lattice Problems 19-DR-013 Christian Scullard Disruptive Research Continuing