Project Grant 2443515

Award Date 4/1/25
Completion Date 3/31/30
Dollars Obligated $239K
Federal Grant Program
47.070
Assistance Type
Project Grant
Place of Performance
Syracuse, NY 13244, USA
Similar Awards
This National Science Foundation (NSF) Computer and Information Science and Engineering (CISE) Federal Grant Award (CFDA 47.070) in the amount of $204,100 provides funding to the University of Nebraska at Omaha (UNO) to conduct research aimed at bridging the information gap between software systems and hardware devices. The key objectives of this 5-year project include: Architecting a flash memory-based solid-state drive that supports differentiated performance by balancing internal techniques...
This $218,147 CAREER award from the National Science Foundation's (NSF) Computer and Information Science and Engineering (CISE) program (CFDA 47.070) aims to develop a new computing paradigm for leveraging memory fabrics in rack-scale data center systems. The project has three key thrusts: Classifying remote memory nodes and developing a benchmarking framework to characterize their performance, along with an active remote memory system that transparently and dynamically moves memory objects to...
The National Science Foundation (NSF) awarded a $582,269 project grant to Syracuse University, a private university in Syracuse, New York, under the Computer and Information Science and Engineering (CFDA 47.070) program. The 5-year grant, awarded on August 1, 2023, supports the development of a "full-stack approach to declarative analytics at scale." The research investigates methodologies for implementing expressive programming systems that can effectively bridge the gap between...
This $269,579 federal Project Grant award from the National Science Foundation's (NSF) Computer and Information Science and Engineering (CISE) program (CFDA 47.070) will support research at Arizona State University (ASU) to develop an innovative hybrid in-memory computing system. The overarching goal is to design and validate a new hardware platform that integrates emerging non-volatile memory and static RAM technologies, along with specialized deep learning algorithms, to achieve significant...
This $1,638,449 award from the National Science Foundation's Computer and Information Science and Engineering (CFDA 47.070) federal grant program supports the development of the "MemSysExplorer" framework. The framework provides the research community with tools to explore and evaluate next-generation memory system designs. Key products and services include: Developing a cross-community design space exploration and evaluation framework to allow researchers to simulate and analyze...
The National Science Foundation (NSF) awarded a $229,578 Project Grant under the Computer and Information Science and Engineering (CFDA 47.070) program to Rensselaer Polytechnic Institute (RPI) to develop hardware and software solutions that address key challenges in enabling a new paradigm of in-memory computing. The research project aims to tackle issues related to fragmented memory resources, insufficient architectural support for memory sharing, and the inefficient separation between...
This Project Grant award from the National Science Foundation (NSF) Computer and Information Science and Engineering (CISE) program (CFDA 47.070) provides $172,156 to support collaborative research on hardware and software solutions for enabling memory-centric computing systems. The research aims to address key challenges hindering the realization of in-memory computing, such as fragmented memory resources, insufficient architectural support for memory sharing, and inefficient separation between...
The National Science Foundation (NSF) awarded a 5-year, $109,594 CAREER grant to the Regents of the University of California at Riverside under the Computer and Information Science and Engineering (CISE) program (CFDA 47.070). The project aims to facilitate the paradigm shift from compute-centric to memory-centric computing systems, enabling efficient and secure data processing for data-intensive applications like machine learning and genomics. Key activities include co-designing the computing...
This Project Grant from the National Science Foundation's Computer and Information Science and Engineering program, CFDA #47.070, provides $600,000 to Duke University to develop a hardware/software co-design framework for sustainable computing systems. The framework aims to generate optimal hardware and algorithm designs that meet constraints of functionality, performance, sustainability, and other requirements. It will guide future sustainable hardware design and establish a holistic...
The National Science Foundation Office of Emerging Frontiers and Multidisciplinary Activities awarded a $721,700 project grant to Syracuse University under the Computer and Information Science and Engineering federal grant program (CFDA 47.070). The three-year grant will support collaborative research on the future of news work through human-technology collaboration in journalistic research and narrative discovery. The grant aims to advance the development and use of research cyberinfrastructure...

This National Science Foundation (NSF) Computer and Information Science and Engineering (CISE) Federal Grant Award (CFDA 47.070) for $239,150 will fund a research project at Syracuse University to bridge the information gap between software systems and hardware devices. The project aims to embed implicit hints about device performance in the communication channel between systems and devices, enabling hardware-software optimizations that improve the sustainability and performance of computer systems. Key research thrusts include: 1) architecting a flash memory-based solid-state drive that supports differentiated performance, 2) rethinking file system policies for implicit differentiation, and 3) creating a holistic memory management scheme for far memory. The project will also develop innovative classroom lessons to advance the technological workforce. This 5-year award, commencing on April 1, 2025, reflects NSF's priorities in advancing computing and information science research and education.

Generated 4/29/25, 4:43 AM