Kyle T. Mandli

ICES Postdoctoral Fellow

Address:
University of Texas - Austin
Institute for Computational Engineering and Sciences
201 E 24th ST. Stop C0200
Austin, TX 78712-1229
USA
Phone: (512) 232-7783
Fax: (512) 471-8694
E-mail: kyle at ices utexas edu
Office: ACE 6.424

Research Interests

My research is primarily concerned with how to apply finite volume methods, adaptive mesh refinement, and other computational science approaches to a variety of geophysical flow problems, including storm surges and tsunamis. These flows all have shallow water characteristics, which allow us to apply the same general methods to many different flows. My research specifically revolves around two main ideas: the first is to adapt current models so they can easily be solved in a depth averaged context, and the second is to implement robust and efficient solvers for the simulation of these flows. Additionally, I work to ensure that the solvers are accessible to the people who need them, e.g. debris flow modelers, field geologists, and others who are responsible for hazard preperation and response. Consequently, I strive to adhere to good software development practices, such as literate programming, and to design frameworks that are easy to extend and maintain.

CV

Publications

A Numerical Method for the Multilayer Shallow Water Equations
Kyle T. Mandli.
Submitted to Ocean Modeling (2012).
ManyClaw: Slicing and dicing Riemann solvers for next generation highly parallel architectures
A. R. Terrel and K. T. Mandli.
TACC-Intel Symposium on Highly Parallel Architectures, 2012.
PyClaw: Accessible, Extensible, Scalable Tools for Wave Propagation Problems
David I. Ketcheson, Kyle T. Mandli, Aron J. Ahmadia, Amal Alghamdi, Manuel Quezada de Luna, Matteo Parsani, Matthew G. Knepley, and Matthew Emmet,
SIAM J. Sci. Comput., 34(4), C210–C231.
The GeoClaw software for depth-averaged flows with adaptive refinement
M. J. Berger, D. L. George, R. J. LeVeque, and K. T. Mandli.
Advancement in Water Resources, Volume 34, Issue 9, Pages 1195-1206, September 2011.
Finite Volume Methods for the Multilayer Shallow Water Equations with Applications to Storm Surges
K.T. Mandli, Ph.D. Thesis, July 2011.
PetClaw: A Scalable Parallel Nonlinear Wave Propagation Solver for Python
Amal Alghamdi, Aron Ahmadia, David I. Ketcheson, Matthew G. Knepley, Kyle T. Mandli and Lisandro Dalcin.
2011 Spring Simulation Multi-Conference, SpringSim'11, Boston, MA, USA, April 03-07, 2011. Volume 6: Proceedings fo the 19th High Performance Computing Symposium (HPC); 01/2011.

Links to Code Projects

Clawpack
Conservation Laws Package
PyClaw
Python-based solver based on Clawpack that includes bridges to multiple other packages including PETSc and SharpClaw
ManyClaw
Research into exploitation of intra-node parallelism for hyperbolic PDE solvers via Clawpack like interfaces.
GitHub Clawpack Project Pages

Presentations and Invited Talks

Note that some of the older links no longer work and I have not gotten around to fixing most of them. If there is something you would like to see send me an email and I will try to get it for you.

Addtional Links