Project Grant 2451771
- This $275,000 Project Grant award from the National Science Foundation's (NSF) Computer and Information Science and Engineering (CISE) program (CFDA 47.070) aims to develop and test new scheduling algorithms for improving the performance of modern database systems. The goal is to create models and policies that can efficiently allocate limited hardware resources, such as compute and memory, to handle a stream of parallelizable database queries with varying levels of parallelizability and service...
- This Project Grant from the National Science Foundation's Computer and Information Science and Engineering program totaling $149,690 will fund research at the University of Washington from February 2022 through September 2022 to develop scalable database technologies. Specifically, the grant will support the introduction of per-processor-core queues to absorb index updates in databases, eliminating synchronous updates to range indices. This innovation aims to free databases from bottlenecks that...
- 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)...
- This $600,000 federal Project Grant award was issued by the National Science Foundation (NSF) Division of Information and Intelligent Systems under the Computer and Information Science and Engineering (CFDA 47.070) program. The purpose of the grant is to lay the foundations for building tools that will enable data scientists to more effectively manage and process large datasets for machine learning applications. The key focus is extending relational database technology with the ability to...
- This National Science Foundation (NSF) Computer and Information Science and Engineering (CISE) Federal Grant Program (CFDA 47.070) Project Grant award in the amount of $325,000.00 was provided to Carnegie Mellon University to develop and test algorithms for scheduling a stream of parallelizable database queries. The goal is to create new scheduling policies that maximize the utilization of system resources such as compute and memory in order to reduce query latencies. The project targets...
- This National Science Foundation Project Grant award of $349,998 provides funding from October 1, 2022 through September 30, 2026 to support research into automatically discovering and verifying database query transformations. The award is made under the Computer and Information Science and Engineering program (CFDA 47.070), which aims to advance computer science and engineering research and education. Specifically, the awardee Yale University will develop a system capable of automatically...
- The National Science Foundation awarded a $599,995 project grant to the University of Massachusetts under the Computer and Information Science and Engineering program (CFDA 47.070) for the period of September 1, 2022 through August 31, 2025. The grant funds research to develop scalable in-database prescriptive analytics capabilities for dynamic environments. Specifically, the university researchers will extend prior work on constrained optimization problems to handle data uncertainty and...
- The National Science Foundation (NSF) Division of Computing and Communication Foundations awarded a $400,000 Project Grant under the Computer and Information Science and Engineering (CFDA 47.070) program to the University of Virginia. The award supports collaborative research to develop a hardware-software co-design approach for high-performance in-memory analytic data processing, addressing challenges in analyzing large volumes of data. The research focuses on designing...
- This National Science Foundation Project Grant of $600,000 supports research to improve the performance of database management systems that use log structured merge tree storage technology. Funded under the Computer and Information Science and Engineering program (CFDA 47.070), the award will support development of novel data organization and flow patterns within log structured merge tree storage to boost read and write capabilities. Key activities include designing algorithms to store...
- 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...
This Project Grant award from the National Science Foundation's (NSF) Computer and Information Science and Engineering (CISE) program, with Federal Assistance Listing Number 47.070, provides $149,988 to Santa Clara University to develop DYNEX, a memory-adaptive query execution engine for cloud database management systems. The key goals of the project are to: The research aims to improve resource efficiency, cost-effectiveness, and overall performance of cloud database systems, which are crucial for modern applications. The project will also create educational and research opportunities for students through hands-on development and mentorship programs using the open-source ASTERIXDB system. The award has a performance period from September 1, 2025 to August 31, 2027.
Mod # | Description | ReasonForModification | Federal Obligation | Date |
|---|---|---|---|---|
| Not listed | $150.0k | 7/20/25 |