Spectral deferred corrections is a time-marching scheme that is employed in parallel-in-time algorithms, but it can also be parallelized by itself on a smaller scale. Since this is an active area of research at JSC as well as TUHH, this presentation is aimed at summarising what has been done and published from the Jülich side in order to foster collaboration
To extend prevailing scaling limits when solving time-dependent partial differential equations, the ...
This release contains the code for generating the results for the publication "Parallelizing SDC acr...
The spectral deferred correction method is an iterative solver for time-dependent partial differenti...
Spectral deferred corrections (SDC) are an easy way to construct higher-order time integration schem...
I will give a brief overview of iterative methods based on Spectral Deferred Corrections and highlig...
Advancement in computational speed is nowadays gained by using more processing units rather than fas...
Advancement in computational speed is nowadays gained by using more processing units rather than fas...
In this paper we present two strategies to enable “parallelization across the method” for spectral d...
In this article, we present the Python framework pySDC for solving collocation problems with spectra...
Spectral deferred corrections (SDC) is an iterative approach for constructing higher-order-accurate ...
The spectral deferred correction (SDC) method is an iterative scheme for computing a higher-order co...
Spectral deferred correction (SDC) methods are an attractive approach to iteratively computing collo...
While many ideas and proofs of concept for parallel-in-time integration methods exists, the number o...
In this work we discuss a class of defect correctio n methods which is easily adapted to create para...
The pySDC project is a Python implementation of the spectral deferred correction (SDC) approach and ...
To extend prevailing scaling limits when solving time-dependent partial differential equations, the ...
This release contains the code for generating the results for the publication "Parallelizing SDC acr...
The spectral deferred correction method is an iterative solver for time-dependent partial differenti...
Spectral deferred corrections (SDC) are an easy way to construct higher-order time integration schem...
I will give a brief overview of iterative methods based on Spectral Deferred Corrections and highlig...
Advancement in computational speed is nowadays gained by using more processing units rather than fas...
Advancement in computational speed is nowadays gained by using more processing units rather than fas...
In this paper we present two strategies to enable “parallelization across the method” for spectral d...
In this article, we present the Python framework pySDC for solving collocation problems with spectra...
Spectral deferred corrections (SDC) is an iterative approach for constructing higher-order-accurate ...
The spectral deferred correction (SDC) method is an iterative scheme for computing a higher-order co...
Spectral deferred correction (SDC) methods are an attractive approach to iteratively computing collo...
While many ideas and proofs of concept for parallel-in-time integration methods exists, the number o...
In this work we discuss a class of defect correctio n methods which is easily adapted to create para...
The pySDC project is a Python implementation of the spectral deferred correction (SDC) approach and ...
To extend prevailing scaling limits when solving time-dependent partial differential equations, the ...
This release contains the code for generating the results for the publication "Parallelizing SDC acr...
The spectral deferred correction method is an iterative solver for time-dependent partial differenti...