Project Grant 2452081

Award Date 10/1/25
Completion Date 9/30/28
Dollars Obligated $268K
Federal Grant Program
47.070
Assistance Type
Project Grant
Place of Performance
Merced, CA 95343, USA
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The research aims to address two key challenges in this domain: prolonged simulation times for large machine learning models and the limited on-device memory capacity of GPUs. By leveraging the distinctive data access patterns and value distributions of modern machine learning models, the project will enable more efficient memory compression and more accurate simulation acceleration. The outcomes of this research will be integrated into educational curricula and outreach initiatives to foster a deeper understanding of cutting-edge computing technologies across educational levels.

Generated 8/5/25, 4:59 AM