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![Kailash Prasad Headshot](https://confcats-catavault.s3.amazonaws.com/CATAVault/ieeecass/master/files/styles/cc_user_photo/s3/user-pictures/19732_1.jpg?h=97c04a2e&itok=TNnDPJcd)
Display Name
Kailash Prasad
- Affiliation
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AffiliationIndian Institute of Technology Gandhinagar
- Country
Abstract
This paper presents an exhaustive comparison of two different techniques for In-Memory Computing in SRAM: BSA, which employs bit-serial arithmetic, and BPA, which uses bit-parallel arithmetic. The results are analyzed for both approaches with ten different sub-array configurations ranging from 128x128 to 2048x2048. The key observation is that the BPA yields at least 15% better (lower) EDP than BSA at large (2048x2048) sub-array sizes. The BSA yields 4x lower delay on an average, while the BPA yields nearly 6× lower dynamic energy. Hence, the choice of the IMC architecture needs to be made depending on the application (low energy vs. high performance).