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| Hauptseite > Publikationsdatenbank > Parallel-in-Time/pySDC (v5.3.0) > print |
| 001 | 1018553 | ||
| 005 | 20241218210658.0 | ||
| 024 | 7 | _ | |a 10.5281/ZENODO.8192500 |2 doi |
| 037 | _ | _ | |a FZJ-2023-04881 |
| 100 | 1 | _ | |a Speck, Robert |0 P:(DE-Juel1)132268 |b 0 |e Corresponding author |
| 245 | _ | _ | |a Parallel-in-Time/pySDC (v5.3.0) |
| 250 | _ | _ | |a 5.3.0 |
| 260 | _ | _ | |c 2023 |
| 336 | 7 | _ | |a Software |2 DCMI |
| 336 | 7 | _ | |a Software |b sware |m sware |0 PUB:(DE-HGF)33 |s 1734522321_24847 |2 PUB:(DE-HGF) |
| 336 | 7 | _ | |a MISC |2 BibTeX |
| 336 | 7 | _ | |a Computer Program |0 6 |2 EndNote |
| 336 | 7 | _ | |a OTHER |2 ORCID |
| 336 | 7 | _ | |a Software |2 DataCite |
| 520 | _ | _ | |a The pySDC project is a Python implementation of the spectral deferred correction (SDC) approach and its flavors, esp. the multilevel extension MLSDC and PFASST. It is intended for rapid prototyping and educational purposes. New ideas like e.g. sweepers or predictors can be tested and first toy problems can be easily implemented. - In this release a lot of cleanup happened, including much better documentation. pySDC learned about new time-steppers and now has even more projects to play with. Thanks to @brownbaerchen, @tlunet, @lisawim, @ikrom96git. |
| 536 | _ | _ | |a 5112 - Cross-Domain Algorithms, Tools, Methods Labs (ATMLs) and Research Groups (POF4-511) |0 G:(DE-HGF)POF4-5112 |c POF4-511 |f POF IV |x 0 |
| 536 | _ | _ | |a TIME-X - TIME parallelisation: for eXascale computing and beyond (955701) |0 G:(EU-Grant)955701 |c 955701 |f H2020-JTI-EuroHPC-2019-1 |x 1 |
| 536 | _ | _ | |a Helmholtz Platform for Research Software Engineering - Preparatory Study (HiRSE_PS-20220812) |0 G:(DE-Juel-1)HiRSE_PS-20220812 |c HiRSE_PS-20220812 |x 2 |
| 536 | _ | _ | |a RGRSE - RG Research Software Engineering for HPC (RG RSE) (RG-RSE) |0 G:(DE-Juel-1)RG-RSE |c RG-RSE |x 3 |
| 588 | _ | _ | |a Dataset connected to DataCite |
| 650 | _ | 7 | |a parallel-in-time |2 Other |
| 650 | _ | 7 | |a spectral deferred corrections |2 Other |
| 650 | _ | 7 | |a parallel full approximation scheme in space and time |2 Other |
| 650 | _ | 7 | |a multigrid |2 Other |
| 650 | _ | 7 | |a collocation |2 Other |
| 700 | 1 | _ | |a Lunet, Thibaut |0 0000-0003-1745-0780 |b 1 |
| 700 | 1 | _ | |a Baumann, Thomas |0 P:(DE-Juel1)190575 |b 2 |
| 700 | 1 | _ | |a Wimmer, Lisa |0 0000-0001-8829-0978 |b 3 |
| 700 | 1 | _ | |a Akramov, Ikrom |0 0000-0002-8869-0784 |b 4 |
| 773 | _ | _ | |a 10.5281/ZENODO.8192500 |
| 856 | 4 | _ | |u https://zenodo.org/records/8192500 |
| 909 | C | O | |o oai:juser.fz-juelich.de:1018553 |p openaire |p VDB |p ec_fundedresources |
| 910 | 1 | _ | |a Forschungszentrum Jülich |0 I:(DE-588b)5008462-8 |k FZJ |b 0 |6 P:(DE-Juel1)132268 |
| 910 | 1 | _ | |a Forschungszentrum Jülich |0 I:(DE-588b)5008462-8 |k FZJ |b 2 |6 P:(DE-Juel1)190575 |
| 913 | 1 | _ | |a DE-HGF |b Key Technologies |l Engineering Digital Futures – Supercomputing, Data Management and Information Security for Knowledge and Action |1 G:(DE-HGF)POF4-510 |0 G:(DE-HGF)POF4-511 |3 G:(DE-HGF)POF4 |2 G:(DE-HGF)POF4-500 |4 G:(DE-HGF)POF |v Enabling Computational- & Data-Intensive Science and Engineering |9 G:(DE-HGF)POF4-5112 |x 0 |
| 914 | 1 | _ | |y 2023 |
| 920 | 1 | _ | |0 I:(DE-Juel1)JSC-20090406 |k JSC |l Jülich Supercomputing Center |x 0 |
| 980 | _ | _ | |a sware |
| 980 | _ | _ | |a VDB |
| 980 | _ | _ | |a I:(DE-Juel1)JSC-20090406 |
| 980 | _ | _ | |a UNRESTRICTED |
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