34 citations · 37 across the 2 of their papers we have counts for
3 papers
cs.DC2018
HYPE: Massive Hypergraph Partitioning with Neighborhood Expansion
Christian Mayer, Ruben Mayer, Sukanya Bhowmik +2
Many important real-world applications-such as social networks or distributed data bases-can be modeled as hypergraphs. In such a model, vertices represent entities-such as users o…
cs.DC2017★ 34 cited
The TensorFlow Partitioning and Scheduling Problem: It's the Critical Path!
Ruben Mayer, Christian Mayer, Larissa Laich
State-of-the-art data flow systems such as TensorFlow impose iterative calculations on large graphs that need to be partitioned on heterogeneous devices such as CPUs, GPUs, and TPU…
cs.DC2017★ 3 cited
StreamLearner: Distributed Incremental Machine Learning on Event Streams: Grand Challenge
Christian Mayer, Ruben Mayer, Majd Abdo
Today, massive amounts of streaming data from smart devices need to be analyzed automatically to realize the Internet of Things. The Complex Event Processing (CEP) paradigm promise…