Kull is a massively parallel simulation code developed to model high energy density physics applications. Kull can be steered using the Python programming language but its computational kernels are written predominantly in C++.
Keywords for this software
References in zbMATH (referenced in 8 articles )
Showing results 1 to 8 of 8.
- Starinshak, D. P.; Owen, J. M.: A multimaterial extension to subzonal reconstruction (2016)
- Starinshak, D. P.; Owen, J. M.: A subzone reconstruction algorithm for efficient staggered compatible remapping (2015)
- Kucharik, Milan; Shashkov, Mikhail: Conservative multi-material remap for staggered multi-material arbitrary Lagrangian-Eulerian methods (2014)
- Owen, J. Michael; Shashkov, Mikhail: Arbitrary Lagrangian eulerian remap treatments consistent with staggered compatible total energy conserving Lagrangian methods (2014)
- Waltz, J.; Morgan, N. R.; Canfield, T. R.; Charest, M. R. J.; Risinger, L. D.; Wohlbier, J. G.: A three-dimensional finite element arbitrary Lagrangian-Eulerian method for shock hydrodynamics on unstructured grids (2014)
- Waltz, Jacob: Operator splitting and time accuracy in Lagrange plus remap solution methods (2013)
- Kucharik, Milan; Shashkov, Mikhail: One-step hybrid remapping algorithm for multi-material arbitrary Lagrangian-Eulerian methods (2012)
- Berndt, Markus; Breil, Jérôme; Galera, Stéphane; Kucharik, Milan; Maire, Pierre-Henri; Shashkov, Mikhail: Two-step hybrid conservative remapping for multimaterial arbitrary Lagrangian-Eulerian methods (2011)