Project Grant 2513767

Award Date 7/1/25
Completion Date 6/30/28
Dollars Obligated $300K
Federal Grant Program
47.070
Assistance Type
Project Grant
Place of Performance
Raleigh, NC 27695, USA
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This Project Grant award of $300,000 from the National Science Foundation's (NSF) Computer and Information Science and Engineering (CISE) program (CFDA 47.070) will fund the development of a cyberinfrastructure to seamlessly integrate lossy data compression into deep learning pipelines for scientific applications.

The key products and services to be delivered include:

  • A user-friendly interface allowing users to define accuracy requirements and instantiate different data compression algorithms
  • A software layer integrating the compression capabilities with popular deep learning frameworks like PyTorch
  • An adaptive execution engine that dynamically selects appropriate compression methods and error bounds based on factors like desired accuracy, data characteristics, model structure, and system configuration

This project aims to enable scalable, AI-driven scientific discovery by reducing memory usage and communication overhead, allowing AI-for-science applications to process massive datasets more efficiently. The award will be executed by North Carolina State University, a leading research institution with a strong track record of federal grant and contract work across scientific and technological domains.

Generated 7/15/25, 9:20 AM