This Project Grant award, with a total funding of $180,000, was provided by the National Science Foundation (NSF) under the Computer and Information Science and Engineering (CFDA 47.070) federal grant program. The primary awardee is The University Of Kentucky Research Foundation. The objective of this 3-year project, which runs from August 1, 2025 to July 31, 2028, is to develop a user-friendly, high-performance, and portable GPU-accelerated data reduction cyberinfrastructure, called SGCC, for scientific data workflows on GPU-equipped supercomputing systems. SGCC will port, extend, and optimize multiple existing GPU-based data compression capabilities, including error-bounded lossy compressors, lossless encoders, and quality assessment tools, to improve data analysis efficiency and accelerate scientific discovery across diverse scientific domains. The project aims to enhance the usability of the GPU-accelerated data reduction ecosystem by providing high-level language bindings, command line interfaces, and visualization integrations. Additionally, SGCC will enable state-of-the-art GPU-accelerated scientific data compressors on multiple heterogeneous computing platforms, including NVIDIA, AMD, and Intel architectures.
Mod # | Description | Reason For Modification | Federal Obligation (Click to sort descending) | Date (Click to sort ascending) |
|---|---|---|---|---|
| Not listed | $180.0k | 6/23/25 |