The National Science Foundation (NSF) awarded a $600,000 Project Grant under the Computer and Information Science and Engineering (CISE) program (CFDA 47.070) to the University of California, Berkeley to conduct research on improving the fundamentals of data streaming algorithms. The project aims to make progress on core problems in streaming data analysis, such as heavy hitters, quantiles, moment estimation, and sampling from data streams. The research will explore new approaches to...
The National Science Foundation (NSF) awarded a $174,671 Computer and Information Science and Engineering (CFDA 47.070) Program grant to Trustees of Clark University to develop a family of flexible, future-proof streaming algorithms for data stream monitoring applications. The project aims to establish common design frameworks for fundamental streaming algorithms like Bloom filters to enable a one-size-fits-all approach that can be reconfigured for diverse measurement tasks. This includes...
This National Science Foundation project grant of $186,123 awarded on July 1, 2022 will support the development of new streaming and sketching algorithms applicable to networking, machine learning, astronomy, and statistical inference. Funded under the Computer and Information Science and Engineering program, the award to Rice University will advance core objectives of the program by supporting investigator-initiated research in computing and information science. Specifically, the principal...
This National Science Foundation (NSF) Computer and Information Science and Engineering (CISE) Program (CFDA 47.070) Project Grant award of $727,999.00 to the Trustees of Boston University will support research to develop a novel class of architectural data transformation units (DTUs) to be interposed between memory and compute in computing systems. The goal is to enable effortless data locality through on-the-fly data transformation, thereby bridging the gap between memory technology and...
This $175,000 federal Project Grant award under the National Science Foundation's (NSF) Computer and Information Science and Engineering (CFDA 47.070) program, awarded on October 1, 2024, supports collaborative research on new directions in data stream computing models and algorithms. The key research themes include: (1) studying a "right to forget" data stream model to address data privacy concerns, (2) exploring pseudodeterministic computations in streaming algorithms, and (3)...
This $500,000 project grant from the National Science Foundation Division of Computing and Communication Foundations' Computer and Information Science and Engineering program (CFDA 47.070) will fund research at Harvard University from March 2022 to February 2025 on streaming complexity of constraint satisfaction problems. The principal investigator will conduct a systematic study of the capabilities of streaming algorithms for constraint satisfaction problems, which are a class of...
This $256,710 National Science Foundation award under the Computer and Information Science and Engineering (CFDA 47.070) program supports a collaborative research project led by the University of Texas at Austin. The project investigates full-stack implementation methodologies for developing expressive programming systems that bridge the gap between high-level specifications and high-performance implementations of complex reasoning tasks at scale. Key focus areas include extending declarative...
This Project Grant award from the National Science Foundation's (NSF) Computer and Information Science and Engineering (CISE) program, with Federal Grant Program ID 47.070, will support the University of California, Merced in pioneering innovative heterogeneous-enriched communication designs for modern and next-generation high-performance computing (HPC) systems and applications. The $500,177 award, effective January 1, 2024 through December 31, 2028, aims to enhance the usability,...
The National Science Foundation (NSF) awarded a $295,548 Project Grant under the Computer and Information Science and Engineering (CFDA 47.070) program to the University of Illinois. The award will support the development of an "Intelligent Management of Hybrid Workloads for Extreme Scale Computing" framework. Key research activities include modeling the performance implications of diverse workloads on supercomputers, creating new intelligent multi-resource scheduling methods, and...
This Project Grant award from the National Science Foundation's (NSF) Computer and Information Science and Engineering (CISE) program (CFDA 47.070) provides $500,000 to The University of Kentucky Research Foundation to develop scalable software enabling "data polymorphism" - a novel paradigm allowing for variable data representations to enable fast, adaptable scientific data retrieval. The project aims to bridge the gap between the massive amounts of data generated by scientific...