Please use this identifier to cite or link to this item: https://dspace.iiti.ac.in/handle/123456789/12609
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dc.contributor.authorDhakad, Narendra Singhen_US
dc.contributor.authorChittora, Eshikaen_US
dc.contributor.authorRaut, Gopalen_US
dc.contributor.authorVishvakarma, Santosh Kumaren_US
dc.date.accessioned2023-12-14T12:37:52Z-
dc.date.available2023-12-14T12:37:52Z-
dc.date.issued2023-
dc.identifier.citationDhakad, N. S., Chittora, E., Raut, G., Sharma, V., & Vishvakarma, S. K. (2023). In-Memory Computing with 6T SRAM for Multi-operator Logic Design. Circuits, Systems, and Signal Processing. Scopus. https://doi.org/10.1007/s00034-023-02481-5en_US
dc.identifier.issn0278-081X-
dc.identifier.otherEID(2-s2.0-85168340337)-
dc.identifier.urihttps://doi.org/10.1007/s00034-023-02481-5-
dc.identifier.urihttps://dspace.iiti.ac.in/handle/123456789/12609-
dc.description.abstractThis article presents a reconfigurable in-/near-memory advanced computing (InMAC) architecture based on 6T SRAM, with a storage capacity of 1 KB (128 × 64). The proposed architecture utilizes standard 65 nm CMOS technology and operates with a power supply of 1 V. Along with standard storage operations, the design performs various complex Boolean computing operations, such as binary to gray, gray to binary, 2’s complement, and binary addition, with 8-bit precision. The architecture also implements other essential logic operations, such as NAND, NOR, XOR, and XNOR, in an area-efficient manner, without requiring complex circuitry. The design offers flexibility in the reconfiguration to meet specific bit precision and operation requirements. In-memory computing approaches improve the latency by 7 × and 4 × for logic implementation and Boolean computation, respectively, compared to conversions performed outside the macro. Additionally, the optimized full adder design outperforms the state-of-the-art design in terms of all parameters analyzed, with reductions of 40% in the number of transistors, 25.4% in latency, 55.2% in dynamic power, and 28.1% in static power. The proposed InMAC architecture can potentially use in-memory computing in various applications that require advanced computing with low latency. © 2023, The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature.en_US
dc.language.isoenen_US
dc.publisherBirkhauseren_US
dc.sourceCircuits, Systems, and Signal Processingen_US
dc.subject6T SRAMen_US
dc.subjectBoolean computingen_US
dc.subjectBoolean operationsen_US
dc.subjectInMACen_US
dc.subjectLatency improvementen_US
dc.subjectvon-Neumann bottlenecken_US
dc.titleIn-Memory Computing with 6T SRAM for Multi-operator Logic Designen_US
dc.typeJournal Articleen_US
Appears in Collections:Department of Electrical Engineering

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