activity
20132019
most citedBrainSlug: Transparent Acceleration of Deep Learning Through Depth-First Parallelism

7 citations · 22 across the 5 of their papers we have counts for

collaborators

5 papers

cs.NI2019

Application-Agnostic Offloading of Packet Processing

Oliver Hohlfeld, Helge Reelfs, Jan Rüth +4

As network speed increases, servers struggle to serve all requests directed at them. This challenge is rooted in a partitioned data path where the split between the kernel space ne…

cs.DC2018★ 7 cited

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.DC2018★ 7 cited

Representation Learning for Resource Usage Prediction

Florian Schmidt, Mathias Niepert, Felipe Huici

Creating a model of a computer system that can be used for tasks such as predicting future resource usage and detecting anomalies is a challenging problem. Most current systems rel…

cs.NI2014★ 6 cited

HotBox: Testing Temperature Effects in Sensor Networks

Florian Schmidt, Matteo Ceriotti, Niklas Hauser +1

Low-power wireless networks, especially in outside deployments, are exposed to a wide range of temperatures. The detrimental effect of high temperatures on communication quality is…

cs.NI2013★ 2 cited

Support for Error Tolerance in the Real-Time Transport Protocol

Florian Schmidt, David Orlea, Klaus Wehrle

Streaming applications often tolerate bit errors in their received data well. This is contrasted by the enforcement of correctness of the packet headers and payload by network prot…