M.Sc. Daniel Seemaier

Research Interests

  • Graph Partitioning
  • Shared-memory algorithms
  • Distributed algorithms

Publications


Deep multilevel graph partitioning
Gottesbüren, L.; Heuer, T.; Sanders, P.; Schulz, C.; Seemaier, D.
2021. 29th Annual European Symposium on Algorithms (ESA 2021): 6-8 September 2021, online. Ed.: P. Mutzel, Art.-Nr.: 48, Schloss Dagstuhl - Leibniz-Zentrum für Informatik GmbH (LZI). doi:10.4230/LIPIcs.ESA.2021.48
Multilevel acyclic hypergraph partitioning
Popp, M.; Schlag, S.; Schulz, C.; Seemaier, D.
2021. 2021 Proceedings of the Symposium on Algorithm Engineering and Experiments (ALENEX). Ed.: M. Farach-Colton, Society for Industrial and Applied Mathematics (SIAM)
Scalable Edge Partitioning
Schlag, S.; Schulz, C.; Seemaier, D.; Strash, D.
2019. Proceedings of the 21st Workshop on Algorithm Engineering and Experiments (ALENEX 2019), San Diego, CA, January 7-8, 2019, 211–225. doi:10.1137/1.9781611975499.17
Technical Reports
Titel Autor Quelle Datum

Ümit V. Çatalyürek, Karen D. Devine, Marcelo Fonseca Faraj, Lars Gottesbüren, Tobias Heuer, Henning Meyerhenke, Peter Sanders, Sebastian Schlag, Christian Schulz, Daniel Seemaier, Dorothea Wagner

arXiv:2205.13202

Mai 2022

Lars Gottesbüren, Tobias Heuer, Peter Sanders, Christian Schulz, Daniel Seemaier

arXiv:2105.02022

Mai 2021

Merten Popp, Sebastian Schlag, Christian Schulz, Daniel Seemaier

arXiv:2002.02962

February 2020

Sebastian Schlag, Christian Schulz, Daniel Seemaier, Darren Strash

arXiv:1808.06411

August 2018

Teaching

Lectures
Title Type Semester
Vorlesung (V) SS 2021
Vorlesung (V) WS 20/21
Vorlesung (V) WS 21/22
Praxis der Softwareentwicklung WS 22/23
Seminar (S) SS 2022
Praxis der Softwareentwicklung WS 22/23
Abgeschlossene Abschlussarbeiten
Title Subject Supervisor Student
Graph Partitioning

Lars Gottesbüren

Tobias Heuer

Daniel Seemaier

Cedrico Knoesel

Graph Partitioning, Initial Partitioning, Local Search Algorithms

Christian Schulz

Daniel Seemaier

Tobias Heuer

 

Manuel Haag

Hypergraph Partitioning, Machine Learning, Coarsening Algorithms

Christian Schulz

Daniel Seemaier

Tobias Heuer

Tobias Fuchs