Jul 15, 2020 · We describe the design principles of resistive crossbars, including the devices and associated circuits that constitute them. We discuss ...
Crossbars based on resistive Non-Volatile Memory (NVM) devices have shown immense promise in serving as the building blocks of in- memory computing systems for ...
This work describes the design principles of resistive crossbars, including the devices and associated circuits that constitute them, and discusses ...
... The main problems of a crossbar architecture include sneak path currents [10], IR drop [11], device imperfections [12], [13], and non-linearity of selector ...
Nov 1, 2019 · Resistive crossbars designed using emerging nonvolatile memory technologies have emerged as a promising candidate building block for future DNN ...
The prospects for designing hardware accelerators for neural networks using resistive crossbars are highlighted and the key open challenges and some ...
Resistive Crossbars as Approximate Hardware Building Blocks for Machine Learning: Opportunities and Challenges. Indranil Chakraborty; Mustafa Ali; et al. 2020 ...
Neural network accelerator design with resistive crossbars
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Leveraging in-memory computing, resistive crossbar based systems cater to both the high computation and storage demands of complex DNNs, and promise energy ...
Resistive crossbars as approximate hardware building blocks for machine learning: Opportunities and challenges. I Chakraborty, M Ali, A Ankit, S Jain, S Roy ...
Resistive Crossbars as Approximate Hardware Building Blocks for Machine Learning: Opportunities and Challenges I. Chakraborty, M. Ali, A. Ankit, S. Jain, S ...