3 papers
cs.DC2020
SOL: Effortless Device Support for AI Frameworks without Source Code Changes
Nicolas Weber, Felipe Huici
Modern high performance computing clusters heavily rely on accelerators to overcome the limited compute power of CPUs. These supercomputers run various applications from different…
cs.DC2018
BrainSlug: Transparent Acceleration of Deep Learning Through Depth-First Parallelism
Nicolas Weber, Florian Schmidt, Mathias Niepert +1
Neural network frameworks such as PyTorch and TensorFlow are the workhorses of numerous machine learning applications ranging from object recognition to machine translation. While…
cs.CV2018
Detail-Preserving Pooling in Deep Networks
Faraz Saeedan, Nicolas Weber, Michael Goesele +1
Most convolutional neural networks use some method for gradually downscaling the size of the hidden layers. This is commonly referred to as pooling, and is applied to reduce the nu…