Search Results for author: Amogh Agrawal

Found 4 papers, 0 papers with code

IMAC: In-memory multi-bit Multiplication andACcumulation in 6T SRAM Array

no code implementations27 Mar 2020 Mustafa Ali, Akhilesh Jaiswal, Sangamesh Kodge, Amogh Agrawal, Indranil Chakraborty, Kaushik Roy

`In-memory computing' is being widely explored as a novel computing paradigm to mitigate the well known memory bottleneck.

X-CHANGR: Changing Memristive Crossbar Mapping for Mitigating Line-Resistance Induced Accuracy Degradation in Deep Neural Networks

no code implementations29 Jun 2019 Amogh Agrawal, Chankyu Lee, Kaushik Roy

We rank the DNN weights and kernels based on a sensitivity analysis, and re-arrange the columns such that the most sensitive kernels are mapped closer to the drivers, thereby minimizing the impact of errors on the overall accuracy.

Emerging Technologies

Xcel-RAM: Accelerating Binary Neural Networks in High-Throughput SRAM Compute Arrays

no code implementations1 Jul 2018 Amogh Agrawal, Akhilesh Jaiswal, Deboleena Roy, Bing Han, Gopalakrishnan Srinivasan, Aayush Ankit, Kaushik Roy

In this paper, we demonstrate how deep binary networks can be accelerated in modified von-Neumann machines by enabling binary convolutions within the SRAM array.

Emerging Technologies

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