Project Grant 2311707
- The University of Maine System, University of Maine Division is receiving a $447,016 Project Grant award from the National Science Foundation's Computer and Information Science and Engineering (CISE) program. The award, titled "COLLABORATIVE RESEARCH: FRAMEWORKS: SCALABLE PERFORMANCE AND ACCURACY ANALYSIS FOR DISTRIBUTED AND EXTREME-SCALE SYSTEMS (SPADE)," aims to enhance the PAPI performance monitoring library to create methods for assessing and improving performance and accuracy on...
- This Project Grant award from the National Science Foundation's (NSF) Computer and Information Science and Engineering (CISE) program, with a total funding amount of $797,666, supports the SPADE (Scalable Performance and Accuracy Analysis for Distributed and Extreme-Scale Systems) project led by the University of Texas at El Paso (UTEP). The SPADE project aims to enhance the PAPI performance monitoring library to enable more effective assessment and optimization of performance and accuracy...
- This five-year, $7.3 million project grant from the National Science Foundation's Computer and Information Science and Engineering program aims to develop a comprehensive framework for efficient, scalable, and performance-portable tensor applications. The University of Utah will receive funding to collaborate with other researchers on advancing tensor computations, which are fundamental to large-scale parallel software applications in scientific computing and machine learning. Key deliverables...
- This $826,099 Project Grant award from the National Science Foundation (NSF) Computer and Information Science and Engineering (CISE) program supports the development of an open-source "MPI Advance" cyberinfrastructure. The project aims to improve the performance and feature coverage of production Message Passing Interface (MPI) implementations on large-scale supercomputer systems. The MPI Advance framework will utilize low-level communication routines from hand-tuned, vendor-specific...
- 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 $800,000 Project Grant awarded by the National Science Foundation (NSF) under the Computer and Information Science and Engineering (CISE) program supports a multi-university collaboration to enhance the performance and productivity of large-scale artificial intelligence (AI) applications. The key products and services to be delivered include: Improvements to the open-source Message Passing Interface (MPI) standard to enable more efficient, flexible, and AI-optimized communication between...
- The University of Tennessee received a $504,000 Project Grant award from the National Science Foundation Division of Computer and Network Systems on October 1, 2021 to develop the World of Code curated code resource to support research in software engineering. Funded under the Computer and Information Science and Engineering program (CFDA #47.070), this three-year project will create a curated collection of code to advance the development and use of research cyberinfrastructure enabling...
- The University of Tennessee was awarded a $1,215,600 project grant from the National Science Foundation Division of Computer and Network Systems. The grant supports the "CPS: MEDIUM: SECURE CONSTRAINED MACHINE LEARNING FOR CRITICAL INFRASTRUCTURE CPS" project taking place from February 1, 2021 to January 31, 2024. The project aims to advance research in secure constrained machine learning for critical infrastructure cyber-physical systems (CPS). It will be conducted under the...
- This National Science Foundation Division of Computing and Communication Foundations Project Grant, titled "COLLABORATIVE RESEARCH: SHF: SMALL: MODEL-DRIVEN DESIGN AND OPTIMIZATION OF DATAFLOWS FOR SCIENTIFIC APPLICATIONS", was awarded to the University of Tennessee, Knoxville on October 1, 2023 for $424,000 over a 2-year period. The project aims to address challenges in effectively composing data tasks into scalable dataflow pipelines to support scientific applications across fields...
- This federal Project Grant award of $800,278 from the National Science Foundation's (NSF) Computer and Information Science and Engineering (CISE) program supports a collaborative research effort focused on enhancing the performance and productivity of large-scale artificial intelligence (AI) applications. The project, titled "MPI4AI: Enhancing Performance and Productivity of AI Science through Next-Generation High Performance Communication Abstractions," is a multi-university...
The National Science Foundation (NSF) awarded a $2,102,685 Project Grant under the Computer and Information Science and Engineering (CISE) program to the University of Tennessee, Knoxville. The grant, titled "COLLABORATIVE RESEARCH: FRAMEWORKS: SCALABLE PERFORMANCE AND ACCURACY ANALYSIS FOR DISTRIBUTED AND EXTREME-SCALE SYSTEMS (SPADE)," aims to develop innovative software and APIs to enhance monitoring, optimization, and decision-making capabilities for extreme-scale computing systems. Key objectives include expanding support for heterogeneous hardware, designing novel software abstractions, implementing a new performance and accuracy analysis framework, and exploring accuracy-performance tradeoffs with low-precision computing. This effort is intended to democratize access to high-performance computing (HPC) resources and enable a diverse range of researchers and institutions to leverage advanced computational capabilities for scientific discoveries and societal impact. The University of Tennessee will collaborate with partners on this 4-year project, which is scheduled to be completed by August 31, 2027.
Mod # | Description | ReasonForModification | Federal Obligation | Date |
|---|---|---|---|---|
| Not listed | $2.1m | 9/12/23 |