Project Grant 2224463
- The University of Utah received a $186,955 Project Grant award from the National Science Foundation Division of Computing and Communication Foundations on August 1, 2021 to support research through July 31, 2022. The grant funds the "COLLABORATIVE RESEARCH: PPOSS: PLANNING: MODEL-DRIVEN COMPILER OPTIMIZATION AND ALGORITHM-ARCHITECTURE CO-DESIGN FOR SCALABLE MACHINE LEARNING" project under the Computer and Information Science and Engineering program (CFDA 47.070). This program...
- The University of Utah will receive $411,248 over three years from the National Science Foundation under the Computer and Information Science and Engineering program (CFDA 47.070) to support the project "SMALL: SELF-ADAPTIVE OPTIMIZATION ALGORITHMS WITH FAST CONVERGENCE VIA GEOMETRY-ADAPTED HYPER-PARAMETER SCHEDULING." This Project Grant will fund research to develop self-adaptive optimization algorithms that can rapidly converge via geometry-adapted hyper-parameter scheduling. The...
- The National Science Foundation (NSF) awarded a $592,937 Project Grant under the Computer and Information Science and Engineering (CFDA 47.070) program to the University of Utah. The grant supports the development of cache-coherent accelerators to efficiently support persistent memory programming. The proposed approach aims to enable existing software to benefit from faster persistent memory storage without requiring changes to the code, while also providing safety during system crashes and...
- The University of Utah will receive $500,000 over three years from the National Science Foundation Division of Research on Learning in Formal and Informal Settings under the Computer and Information Science and Engineering program (CFDA 47.070) to conduct research titled "COLLABORATIVE RESEARCH: NCS: FO: ENHANCING EPISODIC MEMORY THROUGH REAL-WORLD INTEGRATION OF BRAIN RECORDING AND STIMULATION WITH SEMANTIC ALIGNMENT OF HUMAN AND IOT PERCEPTION." The research aims to advance...
- The University of Utah was awarded a $499,384 project grant from the National Science Foundation to support research titled "AF: SMALL: THE GEOMETRY OF LEARNING ON STRUCTURED DATA OBJECTS" from October 1, 2021 to September 30, 2024. The grant was awarded under the NSF's Computer and Information Science and Engineering program (CFDA 47.070), which supports investigator-initiated research and education in all areas of computing, communications, and information science and engineering....
- This $819,000 National Science Foundation (NSF) Computer and Information Science and Engineering (CISE) Federal Grant Award (CFDA 47.070) will fund a collaborative research project titled "SCIOPT: Toward Certifiable Compression-Aware SCIML Systems" at the University of Utah. The project aims to develop techniques to reduce the volume of data exchanged in high-performance scientific simulations and scientific machine learning (SCIML) applications without sacrificing accuracy. Key...
- The University of Utah received a $110,000 Project Grant award from the National Science Foundation's Mathematical and Physical Sciences program (CFDA 47.049) to develop a comprehensive framework that ensures the principled use of artificial intelligence (AI) technologies in data-intensive education research. The project aims to bridge the gap between high-level AI principles and practical implementation, creating a responsible and trustworthy framework to benefit society by enabling more...
- This Project Grant award of $300,000 from the National Science Foundation's (NSF) Computer and Information Science and Engineering (CISE) program supports a collaborative research effort between the University of Utah and its partners. The project aims to develop a unified framework to reduce data movement overheads in heterogeneous high-performance computing (HPC) systems. Key components include a cross-layer monitoring and learning framework to characterize data transfer patterns, a...
- 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 University of Utah was awarded a $1,198,738 Project Grant from the National Science Foundation's (NSF) Computer and Information Science and Engineering program (CFDA 47.070) to develop a new framework for topology-based visualization of scientific data generated from multiphysics simulations. Over a five-year period from June 2022 through May 2027, the university will leverage tools from geometric measure theory, information theory, and transportation theory to represent topological...
The University of Utah will receive $614,956 from the National Science Foundation under the Computer and Information Science and Engineering program (CFDA 47.070) to develop acceleration strategies for emerging life science workloads through an AI+X approach from October 1, 2022 to September 30, 2025. Specifically, the project will design configurable accelerator architectures to efficiently handle both artificial intelligence and small-market healthcare domains like computational pathology and genomic analysis using existing AI hardware accelerators. It will explore algorithm restructuring, memory bottleneck alleviation, optimal software-to-hardware mapping, and transforming compute kernels into tensor operations to fully leverage the capabilities of AI+X hardware. The funding will also support development of community software infrastructure and augmentation of educational curricula to grow a diverse, skilled workforce.
Mod # | Description | ReasonForModification | Federal Obligation | Date |
|---|---|---|---|---|
| Not listed | $615.0k | 7/13/22 |