Mathematics – Numerical Analysis
Scientific paper
2011-11-27
Mathematics
Numerical Analysis
Scientific paper
Development of scientific software involves tradeoffs between ease of use, generality, and performance. We describe the design of a general hyperbolic PDE solver that can be operated with the convenience of MATLAB yet achieves efficiency near that of hand-coded Fortran and scales to the largest supercomputers. This is achieved by using Python for most of the code while employing automatically-wrapped Fortran kernels for computationally intensive routines, and using Python bindings to interface with a parallel computing library and other numerical packages. The software described here is PyClaw, a Python-based structured grid solver for general systems of hyperbolic PDEs. PyClaw provides a powerful and intuitive interface to the algorithms of the existing Fortran codes Clawpack and SharpClaw, simplifying code development and use while providing massive parallelism and scalable solvers via the PETSc library. The package is further augmented by use of PyWENO for generation of efficient high-order WENO code. The simplicity, capability, and performance of this approach are demonstrated through application to example problems in shallow water flow, compressible flow and elasticity.
Ahmadia Aron
Alghamdi Amal
Emmett Matthew
Ketcheson David I.
Knepley Matthew G.
No associations
LandOfFree
Accessible, Extensible, Scalable Tools for Wave Propagation Problems does not yet have a rating. At this time, there are no reviews or comments for this scientific paper.
If you have personal experience with Accessible, Extensible, Scalable Tools for Wave Propagation Problems, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and Accessible, Extensible, Scalable Tools for Wave Propagation Problems will most certainly appreciate the feedback.
Profile ID: LFWR-SCP-O-687505