24 citations · 25 across the 5 of their papers we have counts for
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cs.AR2023
HW/SW Codesign for Robust and Efficient Binarized SNNs by Capacitor Minimization
Mikail Yayla, Simon Thomann, Ming-Liang Wei +3
Using accelerators based on analog computing is an efficient way to process the immensely large workloads in Neural Networks (NNs). One example of an analog computing scheme for NN…
cs.ET2023★ 1 cited
Compact and High-Performance TCAM Based on Scaled Double-Gate FeFETs
Liu Liu, Shubham Kumar, Simon Thomann +3
Ternary content addressable memory (TCAM), widely used in network routers and high-associativity caches, is gaining popularity in machine learning and data-analytic applications. F…