Project Grant 2411136

Award Date 6/15/25
Completion Date 5/31/28
Dollars Obligated $163K
Federal Grant Program
47.070
Assistance Type
Project Grant
Place of Performance
Raleigh, NC 27695, USA
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This $162,826 federal Project Grant award from the National Science Foundation's (NSF) Computer and Information Science and Engineering (CISE) program (CFDA 47.070) supports the development of DLTOOLKIT, a novel performance profiling and analysis infrastructure for scientific deep learning (DL) workloads.

The key objectives of this 3-year project, which runs from June 2025 to May 2028, are to: (a) integrate synergistic profiling capabilities from existing DL frameworks to lower the barrier for domain scientists to use DLTOOLKIT; (b) implement just-in-time-aware profiling to precisely attribute performance events to complex DL operators; and (c) provide tensor-centric profiling to deliver a holistic view of tensor operations' impact on model performance. By unifying these capabilities, DLTOOLKIT will empower domain scientists to optimize their DL applications, accelerating scientific research and innovation across fields like high-energy physics, meteorology, agriculture, and material science. The project also includes educational components to integrate the DLTOOLKIT outcomes into university curricula and provide research training and internship opportunities for students.

Generated 6/24/25, 4:44 AM