Project Grant DESC0021502

This Project Grant award from the National Science Foundation (NSF) Office of Advanced Cyberinfrastructure, under the NSF Computer and Information Science and Engineering (CFDA 47.070) program, aims to develop a new data representation and storage system called LABIOS to address the challenges of storing and accessing massive and complex data sets in data-intensive computing. The $599,999 award to the Illinois Institute of Technology (IIT) will fund research to design and implement LABIOS, a...

This $300,000 Project Grant awarded by the National Science Foundation's Computer and Information Science and Engineering (CISE) program (CFDA 47.070) to the Massachusetts Institute of Technology (MIT) will support the development of advanced machine learning (ML) algorithms and data compression techniques to address the 200 TB/s data rate challenge for the LHCb Upgrade II experiment at CERN's Large Hadron Collider. Specifically, the project will extend the functionality of the HLS4ML software...

This two-year, $500,000 project grant from the National Science Foundation's Office of Advanced Cyberinfrastructure, under the Computer and Information Science and Engineering program (CFDA 47.070), will support Duke University in developing the Flexible Affordable Scalable Technology for Research Storage system. Commonly known as FAST, this shared research storage system utilizes commodity data center hardware and open source Ceph software to provide flexible, high-performance, and...

This National Science Foundation (NSF) Computer and Information Science and Engineering (CISE) program Project Grant award of $599,084 to The Research Foundation for The State University of New York (RF SUNY) aims to enhance the timeliness and power-efficiency of real-time data services. The 3-year project, beginning October 1, 2023, will investigate novel methodologies to improve the capabilities of cost-efficient real-time embedded databases supporting data-intensive applications like smart...

This Project Grant award from the National Science Foundation (NSF) Computer and Information Science and Engineering program (CFDA 47.070) totaling $580,736 will support research into improving the performance of distributed storage systems without requiring changes to their codebase. The key objectives are to understand the impact of request ordering on the performance of concurrency control and replication, which are critical components of distributed storage systems, and develop novel...

This Project Grant award from the National Science Foundation (NSF) Office of Advanced Cyberinfrastructure under the Computer and Information Science and Engineering program (CFDA 47.070) provides $179,471.00 to the New Jersey Institute of Technology (NJIT) to develop a unified framework called PRODM that supports the progressive management of scientific data to facilitate its use in scientific applications. The key products and services to be delivered under this 3-year award include: 1)...

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 in the amount of $165,000, provided by the National Science Foundation (NSF) under its Computer and Information Science and Engineering (CISE) program (CFDA 47.070), aims to enhance eventual data consistency in large-scale, multidimensional scientific computing through the development of a lightweight in-memory distributed ledger system. The project, led by Augusta University Research Institute, Inc. (dba Georgia Health Sciences), a non-profit research organization, will...

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)...

The National Science Foundation (NSF) awarded a $2,400,001 Project Grant under the Computer and Information Science and Engineering (CFDA 47.070) program to the Georgia Tech Research Corporation, also known as the Office of Sponsored Programs. This 5-year collaborative research project, titled "RESEARCH INTO THE USE AND INTEGRATION OF DATA MOVEMENT ACCELERATORS (RUN-DMX)", aims to optimize communication overheads for high-performance computing (HPC) applications by supporting...