Project Grant DESC0023583

This Project Grant award of $479,358, funded by the National Science Foundation (NSF) under the Computer and Information Science and Engineering (CFDA 47.070) program, supports the development of a virtual computational storage system called "μ-HDF5". The project aims to enable more efficient access and utilization of compute and storage resources for data-driven scientific applications on supercomputers. Key objectives include: Developing an HDF5-compatible interface with support...

This Project Grant award of $1,197,143, provided by the National Science Foundation (NSF) under the Computer and Information Science and Engineering (CFDA 47.070) program, is focused on securing self-describing data formats and libraries, such as HDF5 and NetCDF, which are critical cyberinfrastructure for scientific and engineering applications. The project, titled "COLLABORATIVE RESEARCH: CICI:TCR:S2-D2: SECURING SELF-DESCRIBING DATA, FORMATS, AND LIBRARIES", aims to assess and fix...

This Project Grant award, funded by the National Science Foundation (NSF) Computer and Information Science and Engineering (CISE) program (CFDA 47.070), supports the development of a virtual computational storage system called μ-HDF5. The primary goals are to: 1) create an HDF5-compatible interface with support for various computer kernels, 2) identify, dispatch, and execute compute kernels on faster devices across multiple I/O layers in high-performance computing (HPC) systems, and 3)...

This National Science Foundation project grant of $549,790 will fund the development of a full-system computing stack to support sparse computations through September 2027. Under the Computer and Information Science and Engineering program (CFDA 47.070), researchers at Washington University in University City, Missouri will create domain-specific languages, an integrated compiler and scheduler, specialized hardware architectures and high-performance computing systems. Their work aims to...

Extreme Scale Solutions LLC was awarded a $252,282 Project Grant from the Department of Energy Office of Science under the Office of Science Financial Assistance Program (CFDA 81.049). The grant funded the TACO: Distributed and Heterogeneous Sparse Compiler project from February 22, 2021 to November 21, 2021. The project aimed to develop compiler technologies for sparse linear algebra computations on distributed and heterogeneous high-performance computing systems. Specifically, the funding...

This National Science Foundation Project Grant of $220,000 supports research into statistical modeling methods for large, complex datasets. Funded under the Mathematical and Physical Sciences program (CFDA 47.049), the University of California, San Francisco will develop new Bayesian regression techniques using random data compression matrices. These approaches aim to enable efficient, scalable inference and prediction from high-dimensional biomedical data sources like brain imaging, genetics,...

This $125,000 Project Grant from the National Science Foundation's Computer and Information Science and Engineering program (CFDA #47.070) supports research at the University of California, Merced on developing optimized sparse tensor network algorithms and specialized accelerator architectures. The one-year award beginning October 1, 2022 aims to address challenges in high-dimensional data computation and analytics using tensor representations by exploring memory heterogeneity-aware data...

This three-year, $345,853 project grant from the National Science Foundation's Division of Computing and Communication Foundations will support the development of a new hypergraph signal processing framework via tensor representations. Funded under the Computer and Information Science and Engineering program, the collaborative research aims to advance tools for exploiting multi-way interactions in complex data using hypergraphs rather than solely pairwise relationships as in simple graphs....

The National Science Foundation (NSF) awarded a $116,552 Project Grant under the Computer and Information Science and Engineering (CFDA 47.070) program to the University of California, Riverside (UC Riverside) to develop open-source cyberinfrastructure for publishing and reusing minimally compressed measurement data from large physics experiments. The project aims to build tools that enable measurements directly on uncompressed or minimally compressed data, addressing limitations in current...

This Project Grant award for $500,000 was provided by the National Science Foundation's (NSF) Computer and Information Science and Engineering (CISE) program (CFDA 47.070) to The University of Kentucky Research Foundation. The award, effective July 1, 2025 through June 30, 2030, supports the development of "Data Polymorphism" - a novel paradigm to enable fast and adaptable scientific data retrieval with tailored error control. The key products and services to be delivered include: A...