312 citations · 1k across the 26 of their papers we have counts for
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cs.AR2023★ 18 cited
Gradient descent-based programming of analog in-memory computing cores
Julian Büchel, Athanasios Vasilopoulos, Benedikt Kersting +11
The precise programming of crossbar arrays of unit-cells is crucial for obtaining high matrix-vector-multiplication (MVM) accuracy in analog in-memory computing (AIMC) cores. We pr…
cs.AR2023★ 1 cited
AnalogNAS: A Neural Network Design Framework for Accurate Inference with Analog In-Memory Computing
Hadjer Benmeziane, Corey Lammie, Irem Boybat +9
The advancement of Deep Learning (DL) is driven by efficient Deep Neural Network (DNN) design and new hardware accelerators. Current DNN design is primarily tailored for general-pu…