grant
Collaborative Research: SHF: Small: Building scalable GPU simulation and efficient GPU memory management for large machine learning acceleration
Organization Georgia Tech Research CorporationLocation ATLANTA, United StatesPosted 1 Oct 2025Deadline 30 Sept 2028
NSFUS FederalResearch GrantScience FoundationGA
Description preview
Recent advancements in large machine learning models have demonstrated that increasing the number of parameters enhances computational precision and unlocks capabilities once deemed unattainable. This trend is exemplified by the rapid growth in model sizes, for instance, GPT-3 contained 175 billion parameters, while GPT-4 reportedly utilizes up to…
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