Project Grant DENA0000741

This $379,800 project grant awarded by the National Science Foundation's (NSF) Computer and Information Science and Engineering (CISE) program (CFDA 47.070) supports the development of innovative lightweight simulation techniques to enable faster performance modeling and optimization for next-generation, large-scale computing systems. The awardee, the University of Virginia (UVA), is designing a suite of simulation tools under the "Akita" framework that encompass three complementary...

This Project Grant award from the National Science Foundation's Computer and Information Science and Engineering program (CFDA 47.070) provides $383,000 to the Texas A&M Engineering Experiment Station (Tees) to develop the first high-fidelity aerodynamic virtual human model. The key products and services include: Modeling the aerodynamic micro-environment consisting of airflow near the human face, simulating the interactions between the body, hair, clothing, and airflows, and developing...

This $286,520 Project Grant awarded by the National Science Foundation's (NSF) Computer and Information Science and Engineering (CISE) program (CFDA 47.070) supports the development of a free and open-source software package for high-performance, low-latency computing pipelines with real-time requirements for astronomical adaptive optics (AO). The Compute and Control for Adaptive Optics (CACAO) software toolkit will enable the next generation of AO instruments on large ground-based...

This $400,000 Project Grant award from the National Science Foundation's (NSF) Computer and Information Science and Engineering (CFDA 47.070) program supports research by the Massachusetts Institute of Technology (MIT) to develop new methods and systems that enable blind and low-vision (BLV) users to create rich, customized multisensory data representations. The goal is to empower BLV people to engage in data analysis through interactive visualizations that incorporate text, audio, and tactile...

This $316,000 Project Grant award from the National Science Foundation's (NSF) Computer and Information Science and Engineering (CISE) program (CFDA 47.070) aims to develop "provably effective" data visualization solutions. The project will create computer-based tools and techniques to assist analysts in making effective visualization design decisions, integrating established scientific theories and guidelines into new and existing visualization software. Key goals include automating...

This $150,000 project grant from the National Science Foundation's Office of Advanced Cyberinfrastructure, under the Computer and Information Science and Engineering program (CFDA 47.070), will support the development of GPU-accelerated first-principles simulation techniques to model exciton dynamics in complex materials systems over three years. Led by the University of Illinois at Urbana-Champaign, the collaborative research effort will implement novel methods for describing quantum-mechanical...

The National Science Foundation (NSF) awarded a $600,000 Project Grant under the Computer and Information Science and Engineering (CFDA 47.070) program to New Mexico State University to develop a scalable and accurate multi-GPU simulation framework as part of the Structural Simulation Toolkit (SST). This framework will enable computational scientists and system designers to simulate and evaluate the performance of GPU-accelerated applications and next-generation computing systems. The project...

The Texas A&M Engineering Experiment Station (Tees) received a $221,452 Project Grant award from the Department of the Air Force Materiel Command Research Laboratory to support research titled "Enabling Next-Generation Heterogeneous Computing for Massively Parallel High-Order Compressible CFD." The award period was from May 1, 2021 to April 30, 2022. The research was conducted under the Air Force Defense Research Sciences Program (CFDA 12.800). The program aims to maintain Air...

This $429,883 Project Grant award from the National Eye Institute (NEI), under the Vision Research program (CFDA 93.867), aims to characterize the neural computations in visual cortical area V4 that process dynamic visual scenes. The project, led by Principal Investigator Matthew Smith at Carnegie Mellon University, involves building a computational model to predict and interrogate the temporal responses of V4 neurons to natural video clips. The research will combine experimental data collection...

This $420,000 Project Grant award from the National Science Foundation (NSF) Mathematical and Physical Sciences (CFDA 47.049) program supports the development of new numerical algorithms for simulating complex multiscale, multiphysics systems. The primary awardee, Virginia Polytechnic Institute & State University (Virginia Tech), will construct a novel hybrid time integration framework to enable accurate and efficient co-simulation of systems governed by time-dependent partial differential...