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  4. Analysis of Word Line Shaping Techniques for In-Memory Computing in SRAMs
 
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Analysis of Word Line Shaping Techniques for In-Memory Computing in SRAMs

Source
2021 28th IEEE International Conference on Electronics Circuits and Systems Icecs 2021 Proceedings
Date Issued
2021-01-01
Author(s)
Prasad, Kailash
Biswas, Aditya
Mekie, Joycee  
DOI
10.1109/ICECS53924.2021.9665469
Abstract
In-memory computing (IMC) architectures have emerged as a promising alternative to deal with data-intensive applications. Proposals based on analog or digital IMC require multiple word lines to be activated for performing computation. Specifically, in wide SRAM IMC architectures, the word line pulse shaper circuits need to be carefully investigated as pulsewidth degradation affects multiple rows, resulting in incorrect output, loss in linearity in results, or degraded performance. This paper implements compares and contrasts multiple word line shaper proposals for a wide SRAM array. Detailed post-layout simulation results of 512× 256 array show that for 1-bit analog dot product, the standard deviation is improved by 0.19×, 0.21×, 0.21× 0.15× for 1, 4, 8, and 16bit word respectively. Further, word line shaping techniques improve the access time and compute delay by 2.86× and 3×, respectively for 128× 256 array.
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URI
https://d8.irins.org/handle/IITG2025/26385
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