Accelerated bit slicing technique for in-memory computing using multi-input resistive random access memory

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dc.contributor.author Sakhuja, Jayatika
dc.contributor.author Joglekar, Radhika
dc.contributor.author Lashkare, Sandip
dc.contributor.author Ganguly, Udayan
dc.contributor.other 8th IEEE Electron Devices Technology and Manufacturing Conference (EDTM 2024)
dc.coverage.spatial India
dc.date.accessioned 2024-05-30T11:50:02Z
dc.date.available 2024-05-30T11:50:02Z
dc.date.issued 3/3/2024
dc.identifier.citation Sakhuja, Jayatika; Joglekar, Radhika; Lashkare, Sandip and Ganguly, Udayan, "Accelerated bit slicing technique for in-memory computing using multi-input resistive random access memory", in the 8th IEEE Electron Devices Technology and Manufacturing Conference (EDTM 2024), Bangalore, IN, Mar. 03-06, 2024.
dc.identifier.uri https://doi.org/10.1109/EDTM58488.2024.10511444
dc.identifier.uri https://repository.iitgn.ac.in/handle/123456789/10106
dc.description.abstract Recently, there has been a strong focus on enhancing computing efficiency with emerging memristor devices. In this paper, we propose accelerated bit-slicing technique using multi-input memristor in crossbar arrays. First, we demonstrate bit slicing in standard 2-terminal(T) PCMORRAM, wherein each bit (of n-bit input) is serially computed. Second, we introduce 3T-RRAM (two-inputs), allowing simultaneous computation of 2-bits resulting in reduction of processing cycles. Lastly, accelerated computation of 6-bit input in 3-cycles is demonstrated with 3T-RRAM.
dc.description.statementofresponsibility by Jayatika Sakhuja, Radhika Joglekar, Sandip Lashkare and Udayan Ganguly
dc.language.iso en_US
dc.publisher Institute of Electrical and Electronics Engineers (IEEE)
dc.subject 3T-RRAM
dc.subject PCMO
dc.subject VMM
dc.subject IMC
dc.subject Bit slicing
dc.title Accelerated bit slicing technique for in-memory computing using multi-input resistive random access memory
dc.type Conference Paper


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