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Institut f�r Parallele und Verteilte Systeme (IPVS)

Publikationen

Eine �bersicht der Publikationen des Instituts f�r Parallele und Verteilte Systeme

Mayer, Christian; Mayer, Ruben; Bhowmik, Sukanya; Epple, Lukas; Rothermel, Kurt: HYPE: Massive Hypergraph Partitioning with Neighborhood Expansion. In: Proceedings of the 2018 IEEE International Conference on Big Data (BigData '18); Seattle, WA, USA, December 10-13, 2018.

Mayer, Christian; Mayer, Ruben; Abdo, Majd: StreamLearner: Distributed Incremental Machine Learning on Event Streams: Grand Challenge. In: Proceedings of the 11th ACM International Conference on Distributed and Event-based Systems, 2017.

Mayer, Christian; Tariq, Muhammad Adnan; Li, Chen; Rothermel, Kurt: GrapH: Heterogeneity-Aware Graph Computation with Adaptive Partitioning. In: Proceedings of the 2016 IEEE 36th International Conference on Distributed Computing Systems (ICDCS).
Mayer, Ruben; Mayer, Christian; Tariq, Muhammad Adnan; Rothermel, Kurt: GraphCEP - Real-time Data Analytics Using Parallel Complex Event and Graph Processing. In: Proceedings of the 10th ACM International Conference on Distributed Event-Based Systems, DEBS'16, 2016.

Bach, Thomas; Tariq, Muhammad Adnan; Mayer, Christian; Kurt Rothermel: Utilizing the Hive Mind - How to Manage Knowledge in Fully Distributed Environments. In: OTM 2015 Conferences.

Mayer, Ruben; Mayer, Christian; Laich, Larissa: The TensorFlow Partitioning and Scheduling Problem: It�s the Critical Path!. In: Proceedings of DIDL'17: Workshop on Distributed Infrastructures for Deep Learning (DIDL'17), 2017.

Mayer, Christian: Scalable Graph Partitioning for Distributed Graph Processing, Dissertation, 2019.

Mayer, Christian: Scalable data retrieval in a mobile environment, Diplomarbeit Nr. 3636, 2014.

Mayer, Christian: Design and Implementation of a Coordination Service for Distributed Applications (In-memory Paxos), Studienarbeit Nr. 2412, 2013.

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