7 citations · 23 across the 4 of their papers we have counts for
4 papers
Constructive community race: full-density spiking neural network model drives neuromorphic computing
Johanna Senk, Anno C. Kurth, Steve Furber +18
The local circuitry of the mammalian brain is a focus of the search for generic computational principles because it is largely conserved across species and modalities. In 2014 a mo…
EDEA: Efficient Dual-Engine Accelerator for Depthwise Separable Convolution with Direct Data Transfer
Yi Chen, Jie Lou, Malte Wabnitz +2
Depthwise separable convolution (DSC) has emerged as a crucial technique, especially for resource-constrained devices. In this paper, we propose a dual-engine for the DSC hardware…
Towards Hardware Supported Domain Generalization in DNN-Based Edge Computing Devices for Health Monitoring
Johnson Loh, Lyubov Dudchenko, Justus Viga +1
Deep neural network (DNN) models have shown remarkable success in many real-world scenarios, such as object detection and classification. Unfortunately, these models are not yet wi…
Merits of Time-Domain Computing for VMM -- A Quantitative Comparison
Florian Freye, Jie Lou, Christian Lanius +1
Vector-matrix-multiplication (VMM) accel-erators have gained a lot of traction, especially due to therise of convolutional neural networks (CNNs) and the desireto compute them on t…