24 citations · 25 across the 5 of their papers we have counts for
5 papers
First Demonstration of 28 nm Fabricated FeFET-Based Nonvolatile 6T SRAM
Albi Mema, Simon Thomann, Narendra Singh Dhakad +1
With the staggering increase of edge compute applications like Internet-of-Things (IoT) and artificial intelligence (AI), the demand for fast, energy-efficient on-chip memory is gr…
Energy-Efficient Cryogenic Ternary Content Addressable Memory using Ferroelectric SQUID
Shamiul Alam, Simon Thomann, Shivendra Singh Parihar +4
Ternary content addressable memories (TCAMs) are useful for certain computing tasks since they allow us to compare a search query with a whole dataset stored in the memory array. T…
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…
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…
HW/SW Co-design for Reliable TCAM-based In-memory Brain-inspired Hyperdimensional Computing
Simon Thomann, Paul R. Genssler, Hussam Amrouch
Brain-inspired hyperdimensional computing (HDC) is continuously gaining remarkable attention. It is a promising alternative to traditional machine-learning approaches due to its ab…