Machine learning at the edge: efficient utilization of limited CPU/GPU resources by multiplexing

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dc.contributor.author Dhakal, Aditya
dc.contributor.author Kulkarni, Sameer G.
dc.contributor.author Ramakrishnan, K. K.
dc.contributor.other 28th IEEE International Conference on Network Protocols (ICNP 2020)
dc.coverage.spatial Madrid, ES
dc.date.accessioned 2020-11-13T14:48:05Z
dc.date.available 2020-11-13T14:48:05Z
dc.date.issued 13-10-20
dc.identifier.citation Dhakal, Aditya; Kulkarni, Sameer G. and Ramakrishnan, K. K., "Machine learning at the edge: efficient utilization of limited CPU/GPU resources by multiplexing", in the 28th IEEE International Conference on Network Protocols (ICNP 2020), Madrid, ES, Oct. 13-16, 2020. en_US
dc.identifier.uri https://repository.iitgn.ac.in/handle/123456789/5874
dc.description.statementofresponsibility by Aditya Dhakal, Sameer G. Kulkarni and K. K. Ramakrishnan
dc.language.iso en_US en_US
dc.title Machine learning at the edge: efficient utilization of limited CPU/GPU resources by multiplexing en_US
dc.type Conference Papers en_US


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