Aktuelles

Lars Nolte presented our paper on IPC (Inter Process Communication) acceleration for Linux at this year’s Design Automation Conference (DAC). The paper is titled “HAWEN: Hardware Accelerator for Thread Wake-Ups in Linux Event Notification” and was generated in the context of a joint research project… [weiterlesen]

Our chair will actively take part in the CoC Industry Day 2023 organized by the three Centers of Competence Communication (CoC COM), Design of Electronic Circuits and Systems (DECS) and Embedded and Cyber Physical Systems (CoC ECPS) of the TUM School of Computation, Information and Technology. We… [weiterlesen]

The Graduate Center Electrical and Computer Engineering has given the PhD Supervisory Award 2022 to Prof. Walter Stechele. This award aims at rewarding extraordinary supervision of doctoral candidates in a reliable, sincere, and respectful relationship between the supervisor and the doctoral… [weiterlesen]

Digital image processing in professional applications places ever-higher demands in terms of compute power and power consumption so that FPGA devices reach their limits. Approximate Computing is an approach to tackle this challenge. It refers to a set of methods to perform calculations not exactly… [weiterlesen]

Two contributions from the joint team of LIS with BMW, PoliTorino, and KIT have been accepted to the DATE 2022 conference. Congratulation to all the members of the team for their joint effort. The first paper entitled "Mind the Scaling Factors: Resilience Analysis of Quantized Adversarially Robust… [weiterlesen]

It is our pleasure to congratulate the winners of the 2021 Xilinx Open Hardware Design Contest in the PYNQ category: Nael Fasfous, Manoj-Rohit Vemparala, and Alexander Frickenstein with their design of "Binary Neural Network-based COVID19 Face-Mask Wear and Positioning… [weiterlesen]

Efficiently deploying learning-based systems on embedded hardware is challenging for various reasons, two of which are considered in this paper: The model’s size and its robustness against attacks. Together with our partners from BMW and KIT, we combine adversarial training and model pruning in a… [weiterlesen]