Compute-in-memory using 6T SRAM for a wide variety of workloads

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dc.contributor.author Bharti, Pramod Kumar
dc.contributor.author Jain, Saurabh
dc.contributor.author Pillai, Kamlesh R.
dc.contributor.author Sayyaparaju, Sagar Varma
dc.contributor.author Kalsi, Gurpreet S.
dc.contributor.author Mekie, Joycee
dc.contributor.author Subramoney, Sreenivas
dc.contributor.other IEEE International Symposium on Circuits and Systems (ISCAS 2022)
dc.coverage.spatial Austin, US
dc.date.accessioned 2022-12-16T14:53:41Z
dc.date.available 2022-12-16T14:53:41Z
dc.date.issued 2022-05-27
dc.identifier.citation Bharti, Pramod Kumar; Jain, Saurabh; Pillai, Kamlesh R.; Sayyaparaju, Sagar Varma; Kalsi, Gurpreet S.; Mekie, Joycee and Subramoney, Sreenivas, "Compute-in-memory using 6T SRAM for a wide variety of workloads", in the IEEE International Symposium on Circuits and Systems (ISCAS 2022), Austin, US, May 27- Jun. 1, 2022. en_US
dc.identifier.uri https://repository.iitgn.ac.in/handle/123456789/8378
dc.description.statementofresponsibility by Pramod Kumar Bharti, Saurabh Jain, Kamlesh R. Pillai, Sagar Varma Sayyaparaju, Gurpreet S. Kalsi, Joycee Mekie and Sreenivas Subramoney
dc.language.iso en_US en_US
dc.title Compute-in-memory using 6T SRAM for a wide variety of workloads en_US
dc.type Conference Paper en_US


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