The National Science Foundation (NSF) awarded a $364,000 Project Grant under the Computer and Information Science and Engineering (CISE) program (CFDA 47.070) to the University of Maryland, College Park. The grant, effective from October 1, 2024 to September 30, 2028, supports a collaborative research project to develop scalable, high-performance clustering algorithms for processing massive datasets with billions of data points. The key products and services to be delivered include:
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New clustering algorithms that can efficiently process large-scale datasets by leveraging sparse graph structures and high-quality graph clustering techniques. The algorithms will aim to provide provable accuracy guarantees and enable dynamic clustering of data.
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An end-to-end clustering toolkit that will be open-sourced to improve the efficiency and programming productivity of clustering tasks for scientists and practitioners working with large datasets.
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Integration of the research results into university courses, as well as the recruitment of undergraduate students to participate in the project.
The project is a collaborative effort across three institutions, with the University of Maryland, College Park serving as the primary awardee.
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