LIS organized SelPhyS 2019, the workshop on "Self-Awareness in Cyber-Physical Systems"

On April 15 and 16, 2019 we organized SelPhyS 2019, the 4th edition of the workshop on applying self-awareness in the design of embedded and cyber-physical systems, in the Theresianum on the TUM City Campus. The concept of...[more]

Category: Aktuelles


New paper on CNNs accepted at SAIAD workshop

Our authors A. Frickenstein, MR Vemparala, C. Unger, F. Ayar and W. Stechele got their paper titled "DSC Dense-Sparse Convolution for Vectorized Inference of Convolutional Neural Networks" accepted at the Workshop on...[more]

Category: Aktuelles


Paper accepted at Computer and Robot Vision Conference

The paper "Resource-Aware Multicriterial Optimization of DNNs for Low-Cost Embedded Applications" authored by Alexander Frickenstein, Christian Unger and Walter Stechele, has been accepted at the 16th edition of the...[more]

Category: Aktuelles


Four scientific papers of LIS staff accepted for publication at ARCS 2019

The International Conference on Architecture of Computing Systems (ARCS) has been for more than 30 years a well-established platform for presenting and discussing significant research results in computer architecture and...[more]

Category: Aktuelles


New course "Practical Training Project Integrated Systems"

Starting with the summer semester 2019, we offer the new "Practical Training Project Integrated Systems". Individual students or teams of up to 3 students have the possibility to work on varying topics / problem areas...[more]

Category: Aktuelles


Invited Talk by Prof. Herkersdorf at HiPEAC 2019

Prof. Herkersdorf gave an invited talk on self-aware MPSoC system optimization at the RAPIDO workshop of HiPEAC 2019 Conference in Valencia, Spain. The focus of the RAPIDO workshop is on methods and tools for rapid simulation and...[more]

Category: Aktuelles


New research project "Optimization of neural networks for automotive applications"

To improve traffic safety, Deep Neural Networks (DNN) are being developed worldwide for automotive applications. The challenge is that DNNs are compute- and memory-intensive, but the computing capacity in the vehicle remains...[more]

Category: Aktuelles

<< First < Previous 1-7 8-8 Next > Last >>