4 citations · 4 across the 5 of their papers we have counts for
3 papers · 1 filter
Bayesian Optimization of Crossbar-Based Compute-In-Memory System Design for Efficient DNN Inference
Arnob Saha, Bibhas Manna, Nikhil Kotikalapudi +4
Leveraging the high density and energy efficiency of Compute-In-Memory (CIM) crossbar-based Deep Neural Network (DNN) accelerators requires optimal Design Space Exploration (DSE),…
Variation-Resilient FeFET-Based In-Memory Computing Leveraging Probabilistic Deep Learning
Bibhas Manna, Arnob Saha, Zhouhang Jiang +2
Reliability issues stemming from device level non-idealities of non-volatile emerging technologies like ferroelectric field-effect transistors (FeFET), especially at scaled dimensi…
Hybrid Stochastic Synapses Enabled by Scaled Ferroelectric Field-effect Transistors
A N M Nafiul Islam, Arnob Saha, Zhouhang Jiang +2
Achieving brain-like density and performance in neuromorphic computers necessitates scaling down the size of nanodevices emulating neuro-synaptic functionalities. However, scaling…