This $194,789 Project Grant was awarded by the National Science Foundation (NSF) under the Computer and Information Science and Engineering (CISE) Federal Grant Program (CFDA 47.070) to the Regents of the University of California at Riverside (UC Riverside). The grant supports a CAREER project focused on developing efficient algorithms and data structures for parallel computing on modern hardware architectures. The project aims to address two key challenges in parallel algorithm design: space...
This $500,000 Project Grant award from the National Science Foundation's (NSF) Computer and Information Science and Engineering (CISE) program supports the development of scalable software to realize "data polymorphism" - a novel paradigm that enables fast and adaptable scientific data retrieval with tailored error control. The key products and services to be delivered include: A generic framework to abstract the generation of progressive data representations, allowing for...
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 $376,103 Project Grant, awarded by the National Science Foundation's (NSF) Computer and Information Science and Engineering (CISE) program (CFDA 47.070), supports research at Northeastern University to develop high-performance, space-efficient, and practical adaptive data filtering algorithms. The research aims to create filters that can adaptively change their representation to improve performance for streams of queries, especially for skewed or adversarial data workloads. The project will...
This $200,208 Project Grant award from the National Science Foundation (NSF) under the Computer and Information Science and Engineering (CFDA 47.070) program supports research by New York University (NYU) on history independence (HI) in algorithmic performance. The project aims to demonstrate how HI can be used as a powerful analytical tool for designing randomized data structures and algorithms, especially in the presence of oblivious adversaries. The research will investigate HI applications...
This Project Grant award from the National Science Foundation's (NSF) Computer and Information Science and Engineering (CISE) program, CFDA 47.070, provides $221,146 to Northern Arizona University (NAU) from July 1, 2025 to June 30, 2027. The project aims to design and implement novel methods that employ computational storage devices, which combine storage with configurable processors, to address challenges in large-scale data analysis across scientific domains. Key objectives include conducting...
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, provided by the National Science Foundation's (NSF) Computer and Information Science and Engineering (CISE) program (CFDA 47.070), aims to develop a framework capable of automatically rewriting programs to run more efficiently on modern high-performance computing (HPC) systems. The $420,000 award to Iowa State University, spanning May 2025 to April 2028, will focus on leveraging advanced machine learning techniques, including graph-based multimodal contrastive...
This Project Grant award of $296,664 from the National Science Foundation's (NSF) Computer and Information Science and Engineering (CISE) Program (CFDA 47.070) supports research at Northern Arizona University (NAU) to develop efficient indexing and similarity search algorithms that leverage processing-in-memory (PIM) architectures for data-intensive scientific workloads. The key objectives are to design PIM-aware data structures and algorithms for range, similarity, and nearest neighbor searches...
This Project Grant award, funded by the National Science Foundation's (NSF) Computer and Information Science and Engineering (CISE) program (CFDA 47.070), supports the development of a unified framework to reduce data movement overheads in heterogeneous high-performance computing (HPC) systems. The $300,000 award to the University of Utah will integrate three core components: a cross-layer monitoring and learning framework to characterize data transfer patterns and predict contention; a...