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Scientific Computing // Wissenschaftliches Rechnen

The group Scientific Computing conducts research and development on high performance storage systems. We develop HPC concepts and apply them to simulation software with a focus on earth system models.

The group offers products for research and teaching, and contributes to third-party projects.

News

Lehre im Wintersemester 2019/2020

Recent publications

Recent theses

  • Modelling MPI Communication using Colored Petri Nets (Tronje Krabbe), Master's Thesis, 2023-07-24, ThesisPublication details
  • A Multi-purpose Framework for Efficient Parallelized Execution of Charged Particle Tracking (Georgiana Mania), PhD Thesis, 2023-07-12, ThesisPublication detailsURL
  • System profiling and data aggregation for smart compression in Lustre (Pablo Correa Gómez), Master's Thesis, 2022-08-17, ThesisPublication details
  • Vecpar OpenMP Prototype for Particle Physics Example (Henning Lindemann), Bachelor's Thesis, 2023-08-10, ThesisPublication details
  • Data-Aware Compression for HPC using Machine Learning (Julius Plehn), Master's Thesis, 2022-05-09, ThesisPublication details

Ongoing projects

start.1585647834.txt.gz · Last modified: 2020-03-31 11:43 by Michael Kuhn

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