Project Grant 2451646
- This Project Grant award from the National Science Foundation (CFDA 47.070 - Computer and Information Science and Engineering) provides $299,212 to the University of Central Florida to address the complexities of efficient memory management in modern heterogeneous computing environments. The project aims to develop an intelligent memory management framework that integrates predictive analysis, dynamic resource reallocation, and unified memory security using machine learning techniques like...
- 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...
- This Project Grant award from the National Science Foundation's Computer and Information Science and Engineering (CISE) program (CFDA 47.070) provides $172,156 to support collaborative research at Indiana University on hardware and software for memory-centric computing systems. The funding will be used to address key technical challenges in enabling an "in-memory computing" paradigm that can overcome limitations of traditional computer architectures for data-intensive applications. The...
- This federal Project Grant award of $189,400 from the National Science Foundation's (NSF) Computer and Information Science and Engineering (CISE) program, awarded on July 1, 2025, aims to address limitations in large-scale data analysis by designing and implementing novel methods that employ computational storage devices. The project, conducted by the University of Missouri System's Missouri University of Science & Technology, will yield new insights into the efficient use of these...
- 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 National Science Foundation (NSF) Computer and Information Science and Engineering (CISE) Project Grant award for $204,100 provides funding for research that aims to "bridge the information gap between software systems and hardware devices by embedding implicit hints in its communication channel." The key research objectives are to: 1) architect a flash memory-based solid-state drive that supports differentiated performance through learned indexing, 2) rethink file system policies...
- This Project Grant award of $149,999.00 was provided by the National Science Foundation (NSF) under the Computer and Information Science and Engineering (CISE) Federal Grant Program (CFDA 47.070). The funding supports the development of innovative, machine-learning-driven network congestion control algorithms tailored for large-scale disaggregated storage systems (DSSS) used in modern data centers. The project aims to help data flow smoothly during peak demand, reducing delays and energy...
- This $174,925 Project Grant award, funded by the National Science Foundation (NSF) Computer and Information Science and Engineering (CISE) program (CFDA 47.070), supports the development of advanced data transfer optimizations and monitoring systems for high-performance computing networks used in scientific research. The key objectives are to: (i) implement a robust monitoring framework to enhance system visibility and enable global optimization and fair resource allocation; (ii) create a...
This federal Project Grant award of $149,832 from the National Science Foundation (NSF) Computer and Information Science and Engineering (CISE) program, with a performance period from August 1, 2025 to July 31, 2027, supports the development, implementation, and assessment of a Dynamic Allocation Policy (DAP) for tiered memory systems at Missouri State University. The project aims to create a more intelligent system that can optimally assign data to the most suitable memory tier upon allocation, reducing the need for costly data migrations and improving the performance and energy efficiency of data-intensive applications across domains like AI, real-time analytics, and scientific computing. The research involves designing a Linux kernel instrumentation framework called PAAT to enable dynamic page allocation, and integrating the DAP approach with existing tiering mechanisms. This work is expected to accelerate scientific discoveries, reduce cloud/edge data center energy consumption, and enhance the performance of applications like large language model training and medical imaging. The project also supports the development of the national research workforce by providing open-source tools, integrating research into education, and offering hands-on mentoring to graduate and undergraduate students.
Mod # | Description | ReasonForModification | Federal Obligation | Date |
|---|---|---|---|---|
| Not listed | $149.8k | 7/20/25 |