The National Science Foundation (NSF) awarded a $496,390 project grant under the Computer and Information Science and Engineering (CISE) program to the Illinois Institute of Technology (IIT) to develop a unified memory-centric computing system with cross-layer support. The 3-year project aims to enable next-generation data-centric applications, from scientific simulation to machine learning and data mining algorithms, by overcoming performance bottlenecks through memory-centric computing...
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...
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 $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...
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...
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 $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 $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 $644,035 Project Grant awarded by the National Science Foundation (NSF) Computer and Information Science and Engineering (CISE) program (CFDA 47.070) supports research to enhance the performance and programmability of field programmable gate arrays (FPGAs) through the integration of compute-in-memory (CIM) technology. The key objectives are to accelerate the adoption of advanced FPGA architectures, improve energy efficiency and computing power for modern workloads like machine learning, and...
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)...