BrainSlug: Transparent Acceleration of Deep Learning Through Depth-First Parallelism 01.05.2018 Paper Nicolas Weber, Florian Schmidt, Mathias Niepert and Felipe Huici International Workshop on Embedded and Mobile Deep Learning
Detail-Preserving Pooling in Deep Networks 01.05.2018 Paper Faraz Saeedan, Nicolas Weber, Michael Goesele and Stefan Roth ArXiv, Source Code
Sol: Transparent Neural Network Acceleration Platform 01.01.2018 Poster Nicolas Weber SuperComputing (SC), Poster
MATOG: Array Access Auto-Tuning 01.01.2017 Paper Nicolas Weber and Michael Goesele ACM Transactions on Architecture and Code Optimization (TACO), Source Code
Prospect for Knowledge in Survey Data: An Artificial Neural Network Sensitivity Analysis 01.01.2017 Paper Patrick Weber, Nicolas Weber, Michael Goesele and Rüdiger Kabst
Adaptive GPU Array Layout Auto-Tuning 01.01.2016 Paper Nicolas Weber and Michael Goesele Software Engineering Methods for Parallel and High Performance Applications (SEM4HPC), Source Code
Rapid, Detail-Preserving Image Downscaling 01.01.2016 Paper Nicolas Weber, Michael Waechter, Sandra C. Amend, Stefan Guthe and Michael Goesele ACM Transactions on Graphics (TOG), SIGGRAPH Asia, Supplemental Material, Source Code
