no code implementations • 10 Oct 2024 • Elias Trommer, Bernd Waschneck, Akash Kumar
QoS-Nets achieves this by reassigning the selected approximate multiplier instances to layers at runtime.
no code implementations • 12 Mar 2024 • Max Sponner, Lorenzo Servadei, Bernd Waschneck, Robert Wille, Akash Kumar
These findings highlight the importance of considering temporal correlation in sensor data to improve the termination decision.
no code implementations • 12 Mar 2024 • Max Sponner, Lorenzo Servadei, Bernd Waschneck, Robert Wille, Akash Kumar
For an ECG classification task, it was able to terminate all samples early, reducing the mean inference energy by 74. 9% and computations by 78. 3%.
no code implementations • 11 Sep 2023 • Max Sponner, Julius Ott, Lorenzo Servadei, Bernd Waschneck, Robert Wille, Akash Kumar
Radar sensors offer power-efficient solutions for always-on smart devices, but processing the data streams on resource-constrained embedded platforms remains challenging.
no code implementations • 30 Sep 2022 • Binyi Wu, Bernd Waschneck, Christian Georg Mayr
It has been proven that, compared to using 32-bit floating-point numbers in the training phase, Deep Convolutional Neural Networks (DCNNs) can operate with low precision during inference, thereby saving memory space and power consumption.
1 code implementation • 15 Aug 2022 • Elias Trommer, Bernd Waschneck, Akash Kumar
We further demonstrate that our error model can predict the parameters of an approximate multiplier in the context of the commonly used additive Gaussian noise (AGN) model with high accuracy.
no code implementations • 8 Mar 2021 • Max Sponner, Bernd Waschneck, Akash Kumar
As the usage of deep learning becomes increasingly popular in mobile and embedded solutions, it is necessary to convert the framework-specific network representations into executable code for these embedded platforms.
1 code implementation • 5 Nov 2019 • Simon Mittermaier, Ludwig Kürzinger, Bernd Waschneck, Gerhard Rigoll
Keyword Spotting (KWS) enables speech-based user interaction on smart devices.