Institute of Theoretical Informatics, Algorithmics II

M.Sc. Daniel Funke

Research Interests

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


Die folgenden Softwarepakete sind im Zusammenhang mit meiner Forschung entstanden:


Communication-free massively distributed graph generation.
Funke, D.; Lamm, S.; Meyer, U.; Penschuck, M.; Sanders, P.; Schulz, C.; Strash, D.; von Looz, M.
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
Titel Autoren Quelle Datum

Daniel Funke, Peter Sanders und Vincent Winkler


Februar 2019

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


October 2017