Project Grant 2450596

Award Date 6/15/25
Completion Date 5/31/29
Dollars Obligated $2M
Federal Grant Program
47.070
Assistance Type
Project Grant
Place of Performance
Fayetteville, AR 72701, USA
Similar Awards
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 (NSF) awarded a $400,000 Project Grant under the Computer and Information Science and Engineering (CFDA 47.070) program to Arizona State University, Division (doing business as Orspa), for the project "COLLABORATIVE RESEARCH: SHF: MEDIUM: TINY CHIPLETS FOR BIG AI: A RECONFIGURABLE-ON-PACKAGE SYSTEM". This 4-year project (7/1/2024 - 6/30/2028) aims to pioneer a computing system for massive AI workloads, including new architectural and design automation...
This $200,000 federal Project Grant award from the National Science Foundation (NSF) Computer and Information Science and Engineering (CISE) program supports research by the Regents of the University of Minnesota to develop sustainable design and manufacturing approaches for very large-scale integrated (VLSI) systems using heterogeneous integration (HI) technologies. The key objectives are to: (A) build simulators to measure the carbon footprint of HI VLSI systems across the design,...
This $1,500,000 Project Grant awarded by the National Science Foundation (NSF) under the Computer and Information Science and Engineering (CISE) program supports research at the University of Pittsburgh to develop sustainable computing solutions by recycling and reintegrating decommissioned computer chips. The project aims to minimize the environmental impact of computing systems across their lifecycle, including manufacturing, usage, and disposal. The key technical approaches involve creating...
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 National Science Foundation (NSF) Computer and Information Science and Engineering (CISE) program grant to Georgia Tech Research Corporation (GTRC), awarded on October 1, 2023 for $223,095, will advance research and development on architecting data centers for optimized tail latency at scale. The key objectives are to: (1) integrate service-level objective (SLO) awareness into data center system design from the cluster to microarchitecture level to enable dynamic request prioritization; and...
This Project Grant award of $287,308, issued by the National Science Foundation (NSF) under the Computer and Information Science and Engineering (CFDA 47.070) federal grant program, supports research on a new data center architecture called "resource disaggregation." The project aims to leverage application-level semantics, such as memory access patterns and data object ownership, to improve the cost-efficiency and performance of resource disaggregation in cloud and data center...
This $1,139,000 Project Grant award from the National Science Foundation's (NSF) Computer and Information Science and Engineering (CISE) program (CFDA 47.070) aims to develop innovative dataflow processors that can enhance the energy efficiency and security of edge computing systems. The key technical innovations include a parallel dataflow representation of programs and a simplified, scalable spatial architecture for dataflow processors. The research will be conducted by a diverse team at...
This $172,156 Project Grant award from the National Science Foundation's (NSF) Computer and Information Science and Engineering (CISE) program (CFDA 47.070) supports fundamental research to address key technical challenges in enabling future memory-centric computing systems. The research aims to tackle issues around fragmented memory resources, insufficient architectural support for memory sharing, and inefficient separation between hardware and software models. By leveraging the emerging...
The National Science Foundation (NSF) awarded the University of Notre Dame a $500,000 Project Grant under the Computer and Information Science and Engineering (CISE) program (CFDA 47.070) for the period of October 1, 2023 to September 30, 2027. The project, titled "COLLABORATIVE RESEARCH: DESC: TYPE II: REFRESH: REVISITING EXPANDING FPGA REAL-ESTATE FOR ENVIRONMENTALLY SUSTAINABILITY HETEROGENEOUS-SYSTEMS," aims to develop innovative approaches to minimize the environmental impact of...

This $2,000,000 project grant awarded by the National Science Foundation (NSF) Computer and Information Science and Engineering (CISE) program (CFDA 47.070) aims to revolutionize the design of next-generation data centers through novel chiplet and 2.5D integration practices. The project, titled "CHIPLETS360: Datacenter Optimization Through Whole-Stack Novel Accounting, Design, Reuse, and Heterogeneous Provisioning of Chiplets," will apply economic concepts to the cost and lifetime concerns of data center systems. The goal is to develop approaches that advance capabilities in newly deployed compute servers by leveraging novel chiplet-based designs to provide higher performance and energy efficiency, while also addressing critical system-level factors such as thermal, power delivery, and signal integrity. The results will lead to advances in heterogeneous systems ideal for agile virtual hardware design and heterogeneous integration, allowing for the collection of data center resources to build virtual or disaggregated resources that can seamlessly match compute workloads to various technologies and heterogeneous chiplets. The project will take a full-stack approach by modeling costs and integrating critical components previously ignored in design and simulation tools, such as power electronics and asynchronous circuits, to promote hardware agility, efficiency, and adaptability to new compute algorithms while simultaneously reducing costs and extending equipment lifetimes.

Generated 6/24/25, 5:20 AM