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DC Field | Value | Language |
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dc.contributor.author | Dhakad, Narendra Singh | en_US |
dc.contributor.author | Chittora, Eshika | en_US |
dc.contributor.author | Raut, Gopal | en_US |
dc.contributor.author | Vishvakarma, Santosh Kumar | en_US |
dc.date.accessioned | 2023-12-14T12:37:52Z | - |
dc.date.available | 2023-12-14T12:37:52Z | - |
dc.date.issued | 2023 | - |
dc.identifier.citation | Dhakad, 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/s00034-023-02481-5 | en_US |
dc.identifier.issn | 0278-081X | - |
dc.identifier.other | EID(2-s2.0-85168340337) | - |
dc.identifier.uri | https://doi.org/10.1007/s00034-023-02481-5 | - |
dc.identifier.uri | https://dspace.iiti.ac.in/handle/123456789/12609 | - |
dc.description.abstract | This 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.iso | en | en_US |
dc.publisher | Birkhauser | en_US |
dc.source | Circuits, Systems, and Signal Processing | en_US |
dc.subject | 6T SRAM | en_US |
dc.subject | Boolean computing | en_US |
dc.subject | Boolean operations | en_US |
dc.subject | InMAC | en_US |
dc.subject | Latency improvement | en_US |
dc.subject | von-Neumann bottleneck | en_US |
dc.title | In-Memory Computing with 6T SRAM for Multi-operator Logic Design | en_US |
dc.type | Journal Article | en_US |
Appears in Collections: | Department of Electrical Engineering |
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