Analysis of conventional, near-memory, and in-memory DNN accelerators

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dc.contributor.author Issac, Tom Glint
dc.contributor.author Jha, Chandan Kumar
dc.contributor.author Awasthi, Manu
dc.contributor.author Mekie, Joycee
dc.contributor.other IEEE International Symposium on Performance Analysis of Systems and Software (ISPASS 2023)
dc.coverage.spatial United States of America
dc.date.accessioned 2023-07-28T15:18:23Z
dc.date.available 2023-07-28T15:18:23Z
dc.date.issued 4/23/2023
dc.identifier.citation Issac, Tom Glint; Jha, Chandan Kumar; Awasthi, Manu and Mekie, Joycee, "Analysis of conventional, near-memory, and in-memory DNN accelerators", in the IEEE International Symposium on Performance Analysis of Systems and Software (ISPASS 2023), Raleigh, US, Apr. 23-25, 2023.
dc.identifier.uri https://repository.iitgn.ac.in/handle/123456789/9061
dc.description.statementofresponsibility by Tom Glint Issac, Chandan Kumar Jha, Manu Awasthi and Joycee Mekie
dc.language.iso en_US
dc.title Analysis of conventional, near-memory, and in-memory DNN accelerators
dc.type Conference Paper


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