grant
CAREER: Reforming Profiling Techniques to Guide Systemic Performance Tuning for GPU-Accelerated Deep Learning Workloads
Organization University of California - MercedLocation MERCED, United StatesPosted 1 Jul 2025Deadline 30 Jun 2030
NSFUS FederalResearch GrantScience FoundationCA
Description preview
Graphics Processing Units (GPUs) are the go-to choice for deep learning due to their exceptional computational power and massive parallelism. However, maximizing GPU performance for model development and inference remains notoriously challenging as models grow increasingly complex, spanning multiple abstraction layers: the upstream Python layer,…
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