Project Grant 2546822
- Federal Project Grant Award Summary The University of Utah received a $384,964 Project Grant award from the National Science Foundation (NSF) Division of Information and Intelligent Systems under the Computer and Information Science and Engineering (CISE) program (CFDA 47.070), effective May 1, 2026, through April 30, 2029. This collaborative research initiative delivers advanced compiler infrastructure development focused on enhancing scientific computing capabilities. The primary...
- Federal Grant Award Summary The National Science Foundation's Computer and Information Science and Engineering (CISE) program (CFDA 47.070) awarded $162,825 to the University of California, Merced on June 15, 2025, for a collaborative research project extending through May 31, 2028. The project delivers DLToolkit, a novel performance profiling and analysis infrastructure specifically designed to help domain scientists optimize deep learning (DL) applications across scientific domains including...
- Federal Grant Award Summary The University of California, Davis received a $625,840 Project Grant from the National Science Foundation's Division of Computing and Communication Foundations (CFDA 47.070: Computer and Information Science and Engineering) awarded June 15, 2025, with completion targeted for May 31, 2029. The project develops formal verification methods to ensure provably correct implementations of Density Functional Approximations (DFAs) used in Density Functional Theory (DFT)...
- Federal Grant Award Summary The University of California, Los Angeles received an $800,000 Project Grant award from the National Science Foundation (NSF) Division of Information and Intelligent Systems under the Computer and Information Science and Engineering (CISE) program (CFDA 47.070), effective May 1, 2026 through April 30, 2030. This collaborative research project delivers a formal foundation and system support infrastructure for detecting silent computation errors (SCEs) in scientific...
- Federal Grant Award Summary The National Science Foundation's Division of Computing and Communication Foundations awarded $450,000 under the Computer and Information Science and Engineering (CFDA 47.070) program to the Regents of the University of California at Riverside for a three-year project (October 1, 2025 – September 30, 2028). The project develops research outputs focused on integrating Large Language Models (LLMs) with existing program analysis tools to improve software vulnerability...
- Federal Grant Award Summary The University of California, Merced received a $267,791 Project Grant from the National Science Foundation (NSF) Division of Computing and Communication Foundations under the Computer and Information Science and Engineering (CISE) program (CFDA 47.070), effective October 1, 2025, through September 30, 2028. This collaborative research initiative focuses on developing scalable graphics processing unit (GPU) simulation techniques and advanced memory management...
- Federal Grant Award Summary The National Science Foundation's Division of Computer and Network Systems, under the Computer and Information Science and Engineering (CISE) program (CFDA 47.070), awarded $341,525 to the University of California, Merced for a five-year CAREER grant (July 1, 2025 – June 30, 2030) to develop advanced profiling and performance analysis techniques for GPU (Graphics Processing Unit)-accelerated deep learning workloads. The project delivers three innovative analysis...
- Federal Grant Award Summary This $174,999 Project Grant award, issued September 1, 2025, by the National Science Foundation's Division of Computing and Communication Foundations under the Computer and Information Science and Engineering program (CFDA 47.070), supports a unified Large Language Model (LLM)-empowered framework for systematic software performance issue testing, localization, and optimization at California State University Long Beach Research Foundation. The project will deliver...
- Federal Grant Award Summary The National Science Foundation's Computer and Information Science and Engineering program (CFDA 47.070) awarded $150,000 to the University of California, Berkeley on October 1, 2025, for a collaborative research project titled "Securing LLMs Against Prompt Injection Attacks." The four-year project (completion September 30, 2029) will deliver systematic research and defensive technologies addressing security vulnerabilities in large language model...
- Federal Grant Award Summary The National Science Foundation (NSF) Division of Computing and Communication Foundations awarded a four-year, $364,815 Project Grant to The Regents of the University of California, doing business as University of California, Berkeley, under the Computer and Information Science and Engineering (CISE) program (CFDA 47.070). The award, initiated April 15, 2026 and concluding March 31, 2031, supports fundamental research and algorithmic development in nonconvex nonsmooth...
The University of California, San Diego received a $215,035 Project Grant award from the National Science Foundation's Division of Information and Intelligent Systems under the Computer and Information Science and Engineering (CISE) program (CFDA 47.070) for collaborative research on compiler infrastructure redesign. The award, effective May 1, 2026 through April 30, 2029, supports the development of synthesis-based compiler construction methods that enable scientists to express and statically enforce complex physical and mathematical constraints in scientific computing. The research focuses on three primary technical objectives: synthesizing domain-specific and program-specific static analyses through stochastic search and satisfiability modulo theories (SMT)-based verification; creating semantic MLIR (Multi-Level Intermediate Representation) dialects for scientific computing domains including floating-point numbers and tensors; and developing project-specific correctness verification techniques. This project addresses a critical gap in compiler infrastructure by enhancing LLVM (Low-Level Virtual Machine)—a widely-used compiler backbone powering languages including Julia, Python, and Fortran—to better serve the scientific computing community. The deliverables include integrated correct static analyses that will be incorporated into production compiler systems, thereby enabling scientists to automatically generate compiler components rather than manually engineer them. By lowering the burden of proof for mathematical correctness in scientific code compilation, this research advance is intended to enhance computational reliability and productivity across a broad community of scientists and engineers reliant on high-performance scientific computing infrastructure.Federal Grant Award Summary
Mod # | Description | ReasonForModification | Federal Obligation | Date |
|---|---|---|---|---|
| Not listed | $215.0k | 4/24/26 |