This $400,000 Project Grant awarded by the National Science Foundation's (NSF) Computer and Information Science and Engineering (CISE, CFDA 47.070) program supports a collaborative research effort led by Carnegie Mellon University (CMU). The project aims to develop a hardware-software co-design approach for high-performance in-memory analytic data processing. Key technical thrusts include mechanisms for in-place data analytics on dynamic random-access memory (DRAM), processing-in-memory (PIM)...
The National Science Foundation (NSF) awarded a $399,998 Project Grant under the Computer and Information Science and Engineering (CFDA 47.070) program to Cornell University for a collaborative research project titled "A Hardware-Software Co-Design Approach for High-Performance In-Memory Analytic Data Processing". The project aims to redesign both hardware and software components of an analytics pipeline to enable high-performance in-memory data processing and faster data-driven...
The National Science Foundation (NSF) awarded a $400,000 Project Grant under the Computer and Information Science and Engineering (CFDA 47.070) program to The University of Central Florida Board of Trustees Office of Research Division (UCF) to conduct research on taming large memory page challenges for memory bulk operations using a hardware/software co-design approach. The goal is to significantly improve the speed and bandwidth of single-level DRAM combined with ultra-low latency, non-volatile...
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 $228,579 Project Grant award from the National Science Foundation's (NSF) Computer and Information Science and Engineering (CISE) program supports research by The Ohio State University to develop hardware and software solutions to address fundamental challenges in enabling in-memory computing for memory-intensive applications. The project takes a holistic approach, spanning multiple system layers, to tackle issues around fragmented memory resources, architectural support for memory sharing,...
This Project Grant award of $172,156 from the National Science Foundation's (NSF) Computer and Information Science and Engineering (CISE) program supports collaborative research on hardware and software solutions to enable memory-centric computing systems. The research aims to address fundamental challenges that hinder the realization of in-memory computing, leveraging the emerging Compute Express Link (CXL) technology. Key focus areas include optimizing fragmented memory resources, improving...
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 Project Grant award from the National Science Foundation's (NSF) Computer and Information Science and Engineering (CISE) Federal Grant Program (CFDA 47.070) provides $392,619 to Arizona State University (ASU) to design, implement, and experimentally validate a new hybrid in-memory computing system. The overarching goal is to develop an energy-efficient, fast, dynamic, robust, and on-device continual deep learning computing platform that integrates the benefits of emerging non-volatile...
The National Science Foundation (NSF) awarded a $266,000 Project Grant to the Georgia Tech Research Corporation, doing business as the Office of Sponsored Programs, under the Computer and Information Science and Engineering program (CFDA 47.070). The grant supports the development of a compact and energy-efficient "compute-in-memory" accelerator for deep learning applications leveraging ferroelectric vertical NAND memory technology. Key objectives include designing and evaluating...
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...