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.If you use this software, please cite it using these metadata
I will give a brief overview of iterative methods based on Spectral Deferred Corrections and highlig...
While many ideas and proofs of concept for parallel-in-time integration methods exists, the number o...
The PFASST algorithm is a time-parallel algorithm for solving ODEs and PDEs. The PFASST project is a...
The pySDC project is a Python implementation of the spectral deferred correction (SDC) approach and ...
In this article, we present the Python framework pySDC for solving collocation problems with spectra...
The efficient use of modern supercomputers has become one of the key challenges in computational sci...
The parallel full approximation scheme in space and time (PFASST) allows to integrate multiple time-...
This release marks the version used to produce all results of the paper "pySDC - Prototyping spectra...
This release contains the code for generating the results for the publication "Parallelizing SDC acr...
MotivationWith growing interest in parallel-in-time methods many different and new solvers for ordin...
This release marks some improvements and in particular some breaking changes of the API. See the cha...
This release contains major changes to the code and its structure: Complete redesign of code struct...
Version 2.4 adds support for petsc4py! You can now use PETSc data types (pySDC ships with DMDA for d...
The PFASST algorithm is a time-parallel algorithm for solving ODEs and PDEs. The PFASST project is a...
Spectral deferred corrections is a time-marching scheme that is employed in parallel-in-time algorit...
I will give a brief overview of iterative methods based on Spectral Deferred Corrections and highlig...
While many ideas and proofs of concept for parallel-in-time integration methods exists, the number o...
The PFASST algorithm is a time-parallel algorithm for solving ODEs and PDEs. The PFASST project is a...
The pySDC project is a Python implementation of the spectral deferred correction (SDC) approach and ...
In this article, we present the Python framework pySDC for solving collocation problems with spectra...
The efficient use of modern supercomputers has become one of the key challenges in computational sci...
The parallel full approximation scheme in space and time (PFASST) allows to integrate multiple time-...
This release marks the version used to produce all results of the paper "pySDC - Prototyping spectra...
This release contains the code for generating the results for the publication "Parallelizing SDC acr...
MotivationWith growing interest in parallel-in-time methods many different and new solvers for ordin...
This release marks some improvements and in particular some breaking changes of the API. See the cha...
This release contains major changes to the code and its structure: Complete redesign of code struct...
Version 2.4 adds support for petsc4py! You can now use PETSc data types (pySDC ships with DMDA for d...
The PFASST algorithm is a time-parallel algorithm for solving ODEs and PDEs. The PFASST project is a...
Spectral deferred corrections is a time-marching scheme that is employed in parallel-in-time algorit...
I will give a brief overview of iterative methods based on Spectral Deferred Corrections and highlig...
While many ideas and proofs of concept for parallel-in-time integration methods exists, the number o...
The PFASST algorithm is a time-parallel algorithm for solving ODEs and PDEs. The PFASST project is a...
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