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| 001 | 1018544 | ||
| 005 | 20241218210658.0 | ||
| 024 | 7 | _ | |a 10.34734/FZJ-2023-04872 |2 datacite_doi |
| 037 | _ | _ | |a FZJ-2023-04872 |
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| 100 | 1 | _ | |a Speck, Robert |0 P:(DE-Juel1)132268 |b 0 |e Corresponding author |u fzj |
| 111 | 2 | _ | |a 12th Pint Workshop |g PinT2023 |c Harburg |d 2023-07-19 - 2023-07-19 |w Germany |
| 245 | _ | _ | |a pySDC Tutorial @ PinT12 |
| 260 | _ | _ | |c 2023 |
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| 520 | _ | _ | |a In this tutorial we will give an introduction to our Python prototyping framework pySDC, which provides various implementations of spectral deferred corrections (SDC) and its variants multi-level SDC and PFASST. pySDC is intended for rapid prototyping and educational purposes. New ideas like e.g. sweepers and preconditioners can be tested and first toy problems can be easily implemented. Time-parallel runs can be performed either in parallel using mpi4py or, in order to avoid technical or debugging issues, in serial using emulated parallelism.We will first give a brief introduction to the design, capabilities and limitations of the code. Then, if installation goes well, participants can create and run their own examples, and learn how to implement a new, time-parallel sweeper.For the hands-on session, participants need a Python installation (3.7 or above) with recent versions of the packages numpy, scipy, matplotlib, and mpi4py. We strongly recommend using a virtual environment with conda or mamba. Details can be found in the README file here: https://github.com/Parallel-in-Time/pySDC/blob/master/pySDC/playgrounds/12th_PinT_Workshop/README.rst |
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| 700 | 1 | _ | |a Baumann, Thomas |0 P:(DE-Juel1)190575 |b 1 |u fzj |
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