Up to 60% More Linear Area Efficient Asymmetric 6T (6TA) SRAM Cell for In-Memory Compute

In-memory compute (IMC) based approaches have lower power consumption and improve performance by avoiding the Von-Neumann bottleneck in advanced processors. In this work, we propose an asymmetrical 6TA SRAM cell for IMC operation and benchmark it with 6T SWL (split wordline), 8T, 9T1C, and C3SRAM cells. Our analysis shows that the proposed 6TA cell is about 60% more linear, provide higher throughput due to 1.15X lesser variability, and has the same area as the 6T SWL cell in 130nm CMOS technology.

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Publication Details

Published
2024-11-18
DOI
https://doi.org/10.1109/icecs61496.2024.10848731
Primary Topic
Quantum-Dot Cellular Automata
Type
article
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article

Up to 60% More Linear Area Efficient Asymmetric 6T (6TA) SRAM Cell for In-Memory Compute

Anuj Grover, Ajay Shroti
Quantum-Dot Cellular Automata
article

Up to 60% More Linear Area Efficient Asymmetric 6T (6TA) SRAM Cell for In-Memory Compute

Anuj Grover, Ajay Shroti
article en

Abstract

In-memory compute (IMC) based approaches have lower power consumption and improve performance by avoiding the Von-Neumann bottleneck in advanced processors. In this work, we propose an asymmetrical 6TA SRAM cell for IMC operation and benchmark it with 6T SWL (split wordline), 8T, 9T1C, and C3SRAM cells. Our analysis shows that the proposed 6TA cell is about 60% more linear, provide higher throughput due to 1.15X lesser variability, and has the same area as the 6T SWL cell in 130nm CMOS technology.

Indian Institute of Technology Delhi (IN)
Affordable and clean energy
Openalex Percentile: Top 69%
Quantum-Dot Cellular Automata
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Up to 60% More Linear Area Efficient Asymmetric 6T (6TA) SRAM Cell for In-Memory Compute — Anuj Grover, Ajay Shroti · (2024) | TGRS Research Map | TGRS