Publications database

Spiking neural networks mimic the way the human brain processes data and excel in efficiency. With the advent of the memristor, foundations are laid for scalable and low-power integrated electronic implementations. [...]

For self-triggered readout of SiPM sum signals, a waveform classification can aid a simple threshold trigger to reliably extract calorimetric particle hit information online at an early stage and thus reduce the volume of transmitted data. Typically, the ADC data acquisition is based on FPGAs for edge data processing. [...]

Memristors are promising devices for scalable and low power, in-memory computing to improve the energy efficiency of a rising computational demand. The crossbar array architecture with memristors is used for vector matrix multiplication (VMM) and acts as kernels in neuromorphic computing. [...]

Chiplet-based processor design, which combines small dies called chiplets to form a larger chip, enables scalable designs at economical costs. This trend has received high attention such that standards for chiplet design have rapidly established, including packaging, protocols, and Chiplet-to-Chiplet (C2C) interfaces. [...]

Integrated circuit implementations of coupled oscillator networks have recently gained increased attention. The focus is usually on using these networks for analogue computing, for example for solving computational optimization tasks. [...]