001029404 001__ 1029404
001029404 005__ 20241218210659.0
001029404 0247_ $$2doi$$a10.5281/ZENODO.10561696
001029404 037__ $$aFZJ-2024-05111
001029404 1001_ $$0P:(DE-Juel1)132268$$aSpeck, Robert$$b0$$eCorresponding author
001029404 245__ $$aParallel-in-Time/pySDC (v5.4.0)
001029404 250__ $$a5.4
001029404 260__ $$c2024
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001029404 520__ $$aThe pySDC project is a Python implementation of the spectral deferred correction (SDC) approach and its flavors, esp. the multilevel extension MLSDC and PFASST. It is intended for rapid prototyping and educational purposes. New ideas like e.g. sweepers or predictors can be tested and first toy problems can be easily implemented.
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001029404 536__ $$0G:(EU-Grant)955701$$aTIME-X - TIME parallelisation: for eXascale computing and beyond (955701)$$c955701$$fH2020-JTI-EuroHPC-2019-1$$x1
001029404 536__ $$0G:(DE-Juel-1)RG-RSE$$aRGRSE - RG Research Software Engineering for HPC (RG RSE) (RG-RSE)$$cRG-RSE$$x2
001029404 588__ $$aDataset connected to DataCite
001029404 650_7 $$2Other$$aparallel-in-time
001029404 650_7 $$2Other$$aspectral deferred corrections
001029404 650_7 $$2Other$$aparallel full approximation scheme in space and time
001029404 650_7 $$2Other$$amultigrid
001029404 650_7 $$2Other$$acollocation
001029404 7001_ $$00000-0003-1745-0780$$aLunet, Thibaut$$b1
001029404 7001_ $$0P:(DE-Juel1)190575$$aBaumann, Thomas$$b2
001029404 7001_ $$00000-0001-8829-0978$$aWimmer, Lisa$$b3
001029404 7001_ $$00000-0002-8869-0784$$aAkramov, Ikrom$$b4
001029404 773__ $$a10.5281/ZENODO.10561696
001029404 8564_ $$uhttps://parallel-in-time.org/pySDC/
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001029404 9101_ $$0I:(DE-588b)5008462-8$$6P:(DE-Juel1)190575$$aForschungszentrum Jülich$$b2$$kFZJ
001029404 9131_ $$0G:(DE-HGF)POF4-511$$1G:(DE-HGF)POF4-510$$2G:(DE-HGF)POF4-500$$3G:(DE-HGF)POF4$$4G:(DE-HGF)POF$$9G:(DE-HGF)POF4-5112$$aDE-HGF$$bKey Technologies$$lEngineering Digital Futures – Supercomputing, Data Management and Information Security for Knowledge and Action$$vEnabling Computational- & Data-Intensive Science and Engineering$$x0
001029404 9141_ $$y2024
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