This Project Grant award from the National Science Foundation's (NSF) Computer and Information Science and Engineering (CISE) program, CFDA 47.070, provides $530,704 to Florida International University (FIU) to conduct research on improving tiered memory management in in-memory databases and analytic frameworks using machine learning. The key objectives are to: (1) design new tiered memory management techniques that leverage machine learning to optimize performance, quality of service, and...
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 $215,908 Project Grant to the Regents of the University of California, Riverside under the Computer and Information Science and Engineering (CISE) program (CFDA 47.070) to develop a comprehensive memory management ecosystem called MEMDRIVE. The project aims to optimize memory usage throughout the application and system stack for resource-constrained embedded systems, addressing the "memory wall" problem that limits performance and...
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 $274,765 project grant awarded by the National Science Foundation's (NSF) Computer and Information Science and Engineering (CISE) program (CFDA 47.070) establishes a foundation for efficient and intelligent unified memory design to harness the power of advanced GPU accelerators. The key products and services to be delivered include: Developing an abstraction framework called ACCORD to capture the spatial and temporal patterns of massively parallel memory accesses, enabling quantitative...
This $154,959 Project Grant awarded by the National Science Foundation (NSF) Integrative Activities (IA) program will fund research to develop efficient and intelligent Unified Memory (UM) design techniques for GPU-accelerated systems. The project, titled "COLLABORATIVE RESEARCH: SHF: SMALL: ACCESS PATTERNS IN MASSIVE PARALLELISM: ABSTRACTIONS AND ORIENTED UNIFIED MEMORY MANAGEMENT FOR GPU ACCELERATED SYSTEMS", aims to address the challenges of managing data migration between host...
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 $270,000 from the National Science Foundation's (NSF) Computer and Information Science and Engineering (CISE) program supports research to develop scalable simulation techniques and advanced memory management strategies for large-scale machine learning workloads on graphics processing units (GPUs). The key objectives are to enable faster and more efficient simulation of large machine learning models, which can take days or weeks using current methods, and to improve...
This Project Grant award, valued at $239,150.00, was provided by the National Science Foundation (NSF) under the Computer and Information Science and Engineering (CFDA 47.070) federal grant program. The award aims to "bridge the information gap between software systems and hardware devices" in computer memory and storage systems. Key research objectives include: Architecting a flash memory-based solid-state drive that supports differentiated performance through internal techniques...
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's (NSF) Computer and Information Science and Engineering (CISE) program provides $299,212 to the University of Central Florida to develop an intelligent memory management framework. The project aims to address the complexities of efficiently managing memory in modern heterogeneous computing environments involving diverse processor and memory types.
The key focus areas include:
Employing machine learning models to predict memory access patterns in real-time
Developing a multi-tier-aware scheduler to dynamically balance memory loads across diverse memory locations
Incorporating security features through compile-time instrumentation and runtime consistency checks
Reducing retraining times for machine learning models and optimizing heterogeneous memory management
The project is expected to advance adaptive memory management capabilities, reduce data transfer latency, and support multiple memory types with enhanced security. The award period runs from July 2025 to June 2027.