This program has been imported from the CPC Program Library held at Queen's University Belfast (1969-2018) Abstract We present an easy to use and flexible grid library for developing highly scalable parallel simulations. The distributed cartesian cell-refinable grid (dccrg) supports adaptive mesh refinement and allows an arbitrary C++ class to be used as cell data. The amount of data in grid cells can vary both in space and time allowing dccrg to be used in very different types of simulations, for example in fluid and particle codes. Dccrg transfers the data between neighboring cells on different processes... Title of program: DCCRG Catalogue Id: AEOM_v1_0 Nature of problem Grid library supporting arbitrary data in grid cells, parallel...
This paper covers a description of the algorithms and data-structures used in the parallel DLR TAU-c...
No separate or additional fees are collected for access to or distribution of the work.In this paper...
A framework for parallel unstructured grid generation targeting both shared memory multi-processors ...
A large number of algorithms across the field of computational physics are formulated on grids with ...
We introduce Dynamic Constrained Grid (DCGrid), a hierarchical and adaptive grid structure for fluid...
Grid-based fluid simulations are often limited in resolution by their high memory usage and computat...
I present a method for developing extensible and modular computational models without sacrificing se...
Exploiting parallelism in the solution of scientific and computational engineering problems requires...
In this tutorial review paper, we present our minimally invasive approach for integrating dynamicall...
Improvements in the performance of processors and networks make it both feasible and interesting to ...
Abstract: This preprint addresses generalization of the technology of nested-type Locally ...
Improvements in the performance of processors and networks make it both feasible and interesting to ...
Many numerical solutions of large scale simulation models require finer discretizations in some regi...
implementation of a parallel multiscale fluid dynamics solver on octree-like adaptive Cartesian grid
In highly adaptive irregular problems such as many Particle-In-Cell (PIC) codes and Direct Sim-ulati...
This paper covers a description of the algorithms and data-structures used in the parallel DLR TAU-c...
No separate or additional fees are collected for access to or distribution of the work.In this paper...
A framework for parallel unstructured grid generation targeting both shared memory multi-processors ...
A large number of algorithms across the field of computational physics are formulated on grids with ...
We introduce Dynamic Constrained Grid (DCGrid), a hierarchical and adaptive grid structure for fluid...
Grid-based fluid simulations are often limited in resolution by their high memory usage and computat...
I present a method for developing extensible and modular computational models without sacrificing se...
Exploiting parallelism in the solution of scientific and computational engineering problems requires...
In this tutorial review paper, we present our minimally invasive approach for integrating dynamicall...
Improvements in the performance of processors and networks make it both feasible and interesting to ...
Abstract: This preprint addresses generalization of the technology of nested-type Locally ...
Improvements in the performance of processors and networks make it both feasible and interesting to ...
Many numerical solutions of large scale simulation models require finer discretizations in some regi...
implementation of a parallel multiscale fluid dynamics solver on octree-like adaptive Cartesian grid
In highly adaptive irregular problems such as many Particle-In-Cell (PIC) codes and Direct Sim-ulati...
This paper covers a description of the algorithms and data-structures used in the parallel DLR TAU-c...
No separate or additional fees are collected for access to or distribution of the work.In this paper...
A framework for parallel unstructured grid generation targeting both shared memory multi-processors ...