M.Sc. Daniel Funke

Research Interests

  • parallel geometric algorithms
  • shared- and distributed memory parallelims
  • particle tracking for experimental physics

Software

Die folgenden Softwarepakete sind im Zusammenhang mit meiner Forschung entstanden:

Publikationen


Communication-free massively distributed graph generation
Funke, D.; Lamm, S.; Meyer, U.; Penschuck, M.; Sanders, P.; Schulz, C.; Strash, D.; Looz, M. von
2019. Journal of parallel and distributed computing, 131, 200–217. doi:10.1016/j.jpdc.2019.03.011
Communication-free Massively Distributed Graph Generation
Funke, D.; Lamm, S.; Sanders, P.; Schulz, C.; Strash, D.; Looz, M. von
2018. 32nd IEEE International Parallel & Distributed Processing Symposium (IPDPS), Vancouver, BC, Canada, 21-25 May 2018, 336–347, Institute of Electrical and Electronics Engineers (IEEE). doi:10.1109/IPDPS.2018.00043
Parallel d-D delaunay triangulations in shared and distributed memory
Funke, D.; Sanders, P.
2017. Proceedings of the Ninteenth Workshop on Algorithm Engineering and Experiments (ALENEX), Barcelona, E, January 17-18, 2017. Ed.: S. Fekete, 207–217, SIAM Publ. doi:10.1137/1.9781611974768.17
Forschungsberichte
Titel Autoren Quelle Datum

Daniel Funke, Peter Sanders und Vincent Winkler

arXiv:1902.07554

Februar 2019

Daniel Funke, Sebastian Lamm, Ulrich Meyer, Peter Sanders, Manuel Penschuck, Christian Schulz, Darren Strash, Moritz von Looz

arXiv:1710.07565

October 2017

Lehre