This image shows Gregor Daiß

M.Sc.

Gregor Daiß

Researcher
IPVS
Scientific Computing

Contact

+49 711 685 88365
+49 711 685 78365

Universitätsstraße 38
70569 Stuttgart
Deutschland
Room: 2.106

Office Hours

on appointment

  1. Pfander, D., Daiß, G., & Pflüger, D. (2019). Heterogeneous Distributed Big Data Clustering on Sparse Grids. Algorithms, 12(3), 60. http://dblp.uni-trier.de/db/journals/algorithms/algorithms12.html#PfanderDP19
  2. Daiß, G., Amini, P., Biddiscombe, J., Diehl, P., Frank, J., Huck, K., Kaiser, H., Marcello, D., Pfander, D., & Pflüger, D. (2019). From Piz Daint to the Stars: Simulation of Stellar Mergers Using High-level Abstractions. Proceedings of the International Conference for High Performance Computing, Networking, Storage and Analysis, 62:1--62:37. https://doi.org/10.1145/3295500.3356221
  3. Daiß, G. (2018). Octo-Tiger: Binary Star Systems with HPX on Nvidia P100 [Mathesis].
  4. Pfander, D., Daiß, G., Marcello, D., Kaiser, H., & Pflüger, D. (2018). Accelerating Octo-Tiger : Stellar Mergers on Intel Knights Landing with HPX. In T. Deakin (Ed.), IWOCL’18 : Proceedings of the International Workshop on OpenCL (pp. 68–75). ACM. https://doi.org/10.1145/3204919.3204938
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