Author

Christian Mayr

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Preprint Oct 2026

Synapse Loss Estimation for the BrainScaleS Wafer-scale Neuromorphic System

Neuromorphic hardware combines memory (synapses) and computation (neurons) into the same silicon substrate to avoid the von-Neumann bottleneck. This way, neuromorphic computing aims to make computational neuroscience simulations and AI processing faster and more energy-efficient. The common crossbar architecture integr...

B. Vogginger, Christian Mayr · 0 citations

Jul 2026

A Low-Power Sparse Convolution Accelerator with Idle-First-Task-Assignment for Edge Vision

This paper presents a low-power sparse convolution accelerator for edge devices, fabricated and validated in a 16 nm process that adopts a bitmap-based format for compression in both data transmission and computation, effectively reducing memory and bandwidth overhead.

Jingyue Zhuge, Johannes Partzsch, Christian Mayr · arXiv.org · 0 citations