Project Grant 2504470
- This federal Project Grant award of $218,724 from the National Science Foundation's (NSF) Computer and Information Science and Engineering (CISE) program aims to translate a new technique called "tiny pointers" from theoretical research into a practical, high-performance systems tool. The project has three primary goals: (1) establish principles for building scalable and safe tiny-pointer abstractions, (2) design and implement a high-performance library and OS module to expose these...
- This Project Grant award, titled "COLLABORATIVE RESEARCH: CSR: MEDIUM: POINTER COMPRESSION: BRIDGING THEORY AND PRACTICE FOR HIGH-PERFORMANCE COMPUTING SYSTEMS", is funded by the National Science Foundation (NSF) under the Computer and Information Science and Engineering (CISE) Federal Grant Program (CFDA 47.070). The primary goal of this $219,713 award, with a period of performance from August 1, 2025 to July 31, 2028, is to translate a theoretical data structure technique called...
- 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 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...
- The National Science Foundation (NSF) awarded a $540,000 Project Grant under the Computer and Information Science and Engineering (CFDA 47.070) program to The Pennsylvania State University. The grant is for the "SHF: SMALL: COMPILER AND RUNTIME SUPPORT FOR COMPUTATIONAL STORAGE IN HPC" project, which aims to develop scalable software infrastructure, including compilers, runtime systems, and programming interfaces, to enable practical deployment and utilization of computational...
- 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,...
- 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 Project Grant award from the National Science Foundation provides $594,059 in funding to Michigan Technological University from October 1, 2022 to September 30, 2025. The award supports research into fundamental geometric data structures under the Computer and Information Science and Engineering program (CFDA 47.070). Specifically, the Principal Investigator and their students will study problems involving orthogonal range searching, point location, nearest neighbor queries, and dynamic...
- This Project Grant award from the National Science Foundation's (NSF) Computer and Information Science and Engineering (CISE) program (CFDA 47.070) provides $600,000 in funding to the University of Hawaii to conduct research on developing parallel, cache-efficient data structures. The key objectives are to: Incorporate fractional cascading techniques into multi-way distribution frameworks to combine parallelism and I/O efficiency. Develop parallel construction of (partially) persistent B-trees...
This $235,419 project grant was awarded by the National Science Foundation's (NSF) Computer and Information Science and Engineering (CISE) program, with an award date of August 1, 2025 and an ultimate completion date of July 31, 2028. The grant supports a collaborative research project led by Cornell University to develop practical, scalable, and safe techniques for implementing "tiny pointers" - compressed representations of memory addresses that can significantly reduce the memory footprint of pointer-based data structures. The project aims to create a high-performance library and OS module that exposes these tiny pointer abstractions to both kernel and user-level applications. This research has the potential to enable performance and efficiency gains across a wide range of computing systems, from supercomputers to embedded systems, by advancing the foundational challenge of designing space- and time-efficient data structures. Key applications of the tiny pointer technology include optimization of classical data structures like hash tables and trees, as well as OS primitives such as page tables and cache indexes, and flash translation layers in solid-state drives. This research directly supports national priorities in advancing high-performance, resource-efficient computing critical to economic competitiveness, technological leadership, and secure infrastructure.
Mod # | Description | ReasonForModification | Federal Obligation | Date |
|---|---|---|---|---|
| Not listed | $235.4k | 7/29/25 |