18 citations · 29 across the 6 of their papers we have counts for
4 papers · 1 filter
Thermal Crosstalk Analysis in RRAM Passive Crossbar Arrays
Shubham Pande, Bhaswar Chakrabarti, Anjan Chakravorty
As the packing density of resistive random access memory (RRAM) devices increases, the effect of thermal cross-talk across the devices in a crossbar array arrangement influences th…
A Co-design view of Compute in-Memory with Non-Volatile Elements for Neural Networks
Wilfried Haensch, Anand Raghunathan, Kaushik Roy +4
Deep Learning neural networks are pervasive, but traditional computer architectures are reaching the limits of being able to efficiently execute them for the large workloads of tod…
Implementation of Multilayer Perceptron Network with Highly Uniform Passive Memristive Crossbar Circuits
F. Merrikh Bayat, M. Prezioso, B. Chakrabarti +2
The progress in the field of neural computation hinges on the use of hardware more efficient than the conventional microprocessors. Recent works have shown that mixed-signal integr…
Advancing Memristive Analog Neuromorphic Networks: Increasing Complexity, and Coping with Imperfect Hardware Components
F. Merrikh Bayat, M. Prezioso, B. Chakrabarti +2
We experimentally demonstrate classification of 4x4 binary images into 4 classes, using a 3-layer mixed-signal neuromorphic network ("MLP perceptron"), based on two passive 20x20 m…