This National Science Foundation (NSF) Computer and Information Science and Engineering (CISE) Federal Grant Program (CFDA 47.070) Project Grant award in the amount of $263,900 to the Regents of the University of California at Riverside (UC Riverside) supports the development of new automated code transpilation, testing, and debugging technologies to lower the barriers of developing heterogeneous computing applications. The project aims to improve developer productivity and accessibility to...
This $100,000 Project Grant from the National Science Foundation Office of Advanced Cyberinfrastructure, under the Computer and Information Science and Engineering federal grant program (CFDA 47.070), will support the University of California, Los Angeles in developing a detailed plan for a high-performance GPU computing cluster to address computational needs in biomedical research. Specifically, the university will identify representative science use cases and users, determine standards for...
This Project Grant award of $450,000 from the National Science Foundation's (NSF) Computer and Information Science and Engineering (CISE) program (CFDA 47.070) aims to develop novel approaches to electronic design automation (EDA) for creating high-performance and efficient computer hardware. The research introduces a strategy that combines formal techniques with learning-based optimization to enable differentiable hardware synthesis, particularly suited for heterogeneous computing. This new...
This federal Project Grant from the National Science Foundation's Division of Computing and Communication Foundations, under the Computer and Information Science and Engineering program (CFDA 47.070), provides $549,999 to Arizona State University to develop automated methods for near-hardware run-time optimization, bug repair, and program synthesis. Specifically, the university will adapt higher-level automated program improvement techniques to optimize general-purpose GPU code runtimes,...
This Project Grant award from the National Science Foundation's (NSF) Computer and Information Science and Engineering (CISE) program, with Federal Grant Program ID 47.070, will support the University of California, Merced in pioneering innovative heterogeneous-enriched communication designs for modern and next-generation high-performance computing (HPC) systems and applications. The $500,177 award, effective January 1, 2024 through December 31, 2028, aims to enhance the usability, efficiency,...
This National Science Foundation (NSF) Computer and Information Science and Engineering (CISE) Federal Grant Award (CFDA 47.070) provides $127,484 to the University of California, Irvine to develop an efficient compilation and synthesis flow for domain-specific reconfigurable heterogeneous acceleration systems. The key innovations include: 1) a heterogeneous acceleration system template combining hardened digital accelerators, reconfigurable logic, and general-purpose processors; 2) an...
This $899,000 Project Grant awarded by the National Science Foundation (NSF) under the Computer and Information Science and Engineering (CISE) program supports the acquisition of a specialized high-performance computing (HPC) cluster with state-of-the-art graphical processing units (GPUs) at Princeton University. The instrument will enable transformative research and education across diverse disciplines such as chemistry, neuroscience, and sustainable energy solutions by providing researchers...
This $1,091,988 federal Project Grant awarded by the National Science Foundation (NSF) under the Computer and Information Science and Engineering (CFDA 47.070) program supports the development of a new framework to systematically design and optimize high-performance graph analytics algorithms. The researchers at the University of California, Davis (UC Davis) will create an open-source software platform that allows for automated exploration of implementation choices for graph computations using a...
This three-year National Science Foundation project grant of $546,610 will fund the development of static verification tools to improve the accessibility, correctness, and performance of graphics processing unit (GPU) programming. Awarded on June 1, 2022 to the University of Massachusetts Boston under the Computer and Information Science and Engineering program (CFDA 47.070), the project aims to advance the state of the art in static verification for GPUs and other accelerator architectures. Key...
This $274,765 project grant awarded by the National Science Foundation's (NSF) Computer and Information Science and Engineering (CISE) program (CFDA 47.070) establishes a foundation for efficient and intelligent unified memory design to harness the power of advanced GPU accelerators. The key products and services to be delivered include: Developing an abstraction framework called ACCORD to capture the spatial and temporal patterns of massively parallel memory accesses, enabling quantitative...