Project Grant 2228240
Award Date 10/1/22
Completion Date 9/30/25
Dollars Obligated $291K
Federal Agency
Federal Grant Program
Assistance Type
Project Grant
Place of Performance
Davis, CA, USA
Similar Awards
- The University of California, Santa Barbara received a $500,000 Project Grant award from the National Science Foundation on August 15, 2021 to develop an integrated unipolar-0.5T0.5R RRAM crossbar array for neuromorphic computing. The project aims to advance research supported by the Computer and Information Science and Engineering program (CFDA #47.070) through July 31, 2024. Specifically, the university will utilize the funding to create a novel resistive random-access memory (RRAM)...
- 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 National Science Foundation (NSF) Computer and Information Science and Engineering (CISE) Program grant of $599,951 awarded to Washington State University aims to develop a novel computing framework for accelerating graph neural network (GNN) computations using processing-in-memory (PIM) architectures. The key objectives are to: 1) establish an interdisciplinary research-based curriculum integrating PIM, machine learning, and data-driven design optimization, 2) motivate and engage...
- This $250,000 Project Grant award from the National Science Foundation's Computer and Information Science and Engineering (CFDA 47.070) program supports research to develop domain-specific 3D ReRAM-based Processing-in-Memory (PIM) accelerators for streaming time series applications. The collaboration between researchers at UC Riverside, Arizona State University, Georgia Institute of Technology, and Washington State University aims to define CBA-PIM accelerators for time series data analytics,...
- This $800,000 Project Grant awarded by the National Science Foundation's (NSF) Computer and Information Science and Engineering (CISE) program (CFDA 47.070) aims to pioneer a computing system for massive AI workloads. The project will develop new architectural and design automation tools for a reconfigurable-on-package system using "tiny chiplets" - miniaturized composable computing components. This innovative approach seeks to address the challenges related to chiplet definition,...
- 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 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 $500,000 National Science Foundation project grant supports research at the University of California, Riverside to develop novel machine learning-based electromigration analysis and optimization methods for very large-scale integrated circuit design. Specifically, the university will explore enhanced physics-informed neural network approaches for multi-segment interconnect stress analysis and full-chip electromigration-induced voltage drop modeling. Researchers will also develop efficient...
- This National Science Foundation (NSF) Computer and Information Science and Engineering (CISE) Program Project Grant, with a total award of $135,177, supports research into the design of scalable computing infrastructure that leverages non-volatile memory (NVM) devices for both storage and computation. The project investigates the use of parallel current flows through NVM crossbars for fast and energy-efficient in-memory digital computations, and novel automated synthesis techniques to...
- This three-year, $532,241 Project Grant from the National Science Foundation's Division of Computer and Network Systems, under the Computer and Information Science and Engineering program (CFDA 47.070), will support the development of scalable algorithms, systems, and infrastructures for graph neural network training. The University of Massachusetts will develop a novel "split parallelism" training paradigm to transparently scale graph neural network training to large-scale graphs...