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 $281,385 federal Project Grant award from the National Science Foundation's (NSF) Computer and Information Science and Engineering (CISE) program (CFDA 47.070) supports the development of advanced software developer tools to enable the use of heterogeneous computing hardware, including graphics processing units (GPUs), field programmable gate arrays (FPGAs), and application-specific integrated circuits (ASICs). The goal is to lower the barriers for software engineers with varying levels...
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...
The National Science Foundation (NSF) awarded a $127,484 Project Grant under the Computer and Information Science and Engineering (CFDA 47.070) program to the University of California, Irvine. The grant aims to develop an efficient compilation and synthesis flow to translate high-level programs, such as Python, into domain-specific reconfigurable heterogeneous acceleration systems. Key innovations include a heterogeneous acceleration system template, an optimizing compiler and design...
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...
The National Science Foundation Division of Computing and Communication Foundations awarded Michigan Technological University a $190,397 Project Grant under the Computer and Information Science and Engineering program (CFDA 47.070) on May 15, 2021. The grant supports research into GPU-accelerated finite state machine computations with advanced speculation techniques. The award funds the development of speculative parallel algorithms and hardware designs to improve the performance and...
The National Science Foundation awarded a $157,203 Project Grant to the University of Arizona under the Computer and Information Science and Engineering federal grant program (CFDA 47.070) to conduct research related to scaling general-purpose processors into the exascale era. Specifically, the award will fund research to design reconfigurable aggregated virtual chips utilizing heterogeneous aggregated chiplets and a hybrid wireless interconnection network. This is intended to enable systems...
This federal Project Grant award, funded by the National Science Foundation (NSF) Computer and Information Science and Engineering (CISE) program (CFDA 47.070), aims to develop a framework for automatically rewriting programs to run more efficiently on modern high-performance computing (HPC) systems. The $420,000 award to Iowa State University, with a project period from May 1, 2025, to April 30, 2028, will focus on integrating advanced machine learning techniques, program analysis, and...
This $256,710 National Science Foundation award under the Computer and Information Science and Engineering (CFDA 47.070) program supports a collaborative research project led by the University of Texas at Austin. The project investigates full-stack implementation methodologies for developing expressive programming systems that bridge the gap between high-level specifications and high-performance implementations of complex reasoning tasks at scale. Key focus areas include extending declarative...
The National Science Foundation (NSF) awarded a $400,000 Project Grant under the Computer and Information Science and Engineering (CFDA 47.070) program to Arizona State University, Division (doing business as Orspa), for the project "COLLABORATIVE RESEARCH: SHF: MEDIUM: TINY CHIPLETS FOR BIG AI: A RECONFIGURABLE-ON-PACKAGE SYSTEM". This 4-year project (7/1/2024 - 6/30/2028) aims to pioneer a computing system for massive AI workloads, including new architectural and design automation...