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"Fine-grained accelerator partitioning for Machine Learning and Scientific ..."

Aditya Dhakal et al. (2023)

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DOI: 10.1145/3624062.3624238

access: closed

type: Conference or Workshop Paper

metadata version: 2023-11-28

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Aditya Dhakal, Philipp Raith, Logan T. Ward, Rolando P. Hong Enriquez, Gourav Rattihalli, Kyle Chard, Ian T. Foster, Dejan S. Milojicic:
Fine-grained accelerator partitioning for Machine Learning and Scientific Computing in Function as a Service Platform. SC Workshops 2023: 1606-1613

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