1 citations · 1 across the 4 of their papers we have counts for
4 papers
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…
HEP-BNN: A Framework for Finding Low-Latency Execution Configurations of BNNs on Heterogeneous Multiprocessor Platforms
Leonard David Bereholschi, Ching-Chi Lin, Mikail Yayla +1
Binarized Neural Networks (BNNs) significantly reduce the computation and memory demands with binarized weights and activations compared to full-precision NNs. Executing a layer in…
Parallel Path Progression DAG Scheduling
Niklas Ueter, Mario Günzel, Georg von der Brüggen +1
To satisfy the increasing performance needs of modern cyber-physical systems, multiprocessor architectures are increasingly utilized. To efficiently exploit their potential paralle…
AuNa: Modularly Integrated Simulation Framework for Cooperative Autonomous Navigation
Harun Teper, Anggera Bayuwindra, Raphael Riebl +3
In the near future, the development of autonomous driving will get more complex as the vehicles will not only rely on their own sensors but also communicate with other vehicles and…