========================================================== Python for Scientific Computing at SIAM CSE 2011: Slides ========================================================== At the `2011 SIAM CSE meeting`_ held in Reno on February 28-March 6, Randy LeVeque from U. Washington, Hans-Petter Langtangen from the Simula Research Laboratory in Norway and I co-organized a 2-part minisymposium entitled *Python for Scientific Computing*. This was done partly as a followup to the successful one we had `in 2009`_, and we had again good attendance and lively discussions. .. _2011 SIAM CSE meeting: http://www.siam.org/meetings/cse11 .. _in 2009: http://fdoperez.blogspot.com/2009/03/python-at-siam-cse09-meeting.html Our minisymposium was divided in two parts, and I am posting here links to the original program pages as well as all the slides I have so far from the speakers, along with any links they may have provided to their personal or project pages. A `short narrative is my blog `_ and I also put `some pictures `_ up. As a sign of the healthy growth of the scientific python ecosystem, this year there were also other python-focused minisymposia at this conference, as well as several python talks in other MS; those slides are below_. MS: `Python in Scientific Computing - Part I of II `_ `Capabilities and Recent Developments of NumPy for Scientific Computing`__ Travis E. Oliphant, Enthought, Inc., USA .. __: http://www.slideshare.net/enthought/numpy-talk-at-siam `Cython: Compiled Code meets Dynamic Python `_ Lisandro Dalcin, Centro Int. de Métodos Computacionales en Ingeniería, Argentina; Robert Bradshaw, University of Washington, Seattle, USA `Matplotlib - from Interactive Exploration to Publication Graphics `_ John Hunter, Tradelink Securities, Inc., USA `Why Modern, High-performance Networking Matters for Interactive Computing <1102_siam_cse_ipython.pdf>`_ Fernando Perez, University of California, Berkeley, USA; Brian Granger, California Polytechnic State University, San Luis Obispo, USA; Evan Patterson, California Institute of Technology, USA MS: `Python in Scientific Computing - Part II of II `_ `Interactive Parallel Python with ZeroMQ `_ Min Ragan-Kelley and Fernando Perez, University of California, Berkeley, USA; Brian Granger, California Polytechnic State University, San Luis Obispo, USA `Real-time Classification of Astronomical Events with Python `_ Joshua Bloom, Dan Starr, Joseph Richards, Nathaniel Butler, and Dovi Poznanski, University of California, Berkeley, USA `SymPy: Symbolic Mathematics in Pure Python `_ Mateusz Paprocki, University of Nevada, Reno, USA FEMhub Online Numerical Methods Laboratory Pavel Solin and Ondrej Certik, University of Nevada, Reno, USA; Mateusz Paprocki, University of Wroclaw, Poland; Aayush Poudel, University of Nevada, Reno, USA .. _below: Other Python talks ================== There were a number of other sessions dedicated to Python tools, as well as talks based on Python elsewhere. Here is a summary of the ones for which I have slides (a few are pending review by National Labs for public release): MS: `Python-based Software for Solving Partial Differential Equations - Part I of II `_ `Lessons Learned and Open Issues from the Development of the Proteus Toolkit for Coastal and Hydraulics Modeling `_ Chris Kees and Matthew Farthing, U.S. Army Engineer Research and Development Center, USA `FEniCS: An Attempt to Combine Simplicity, Generality, Efficiency and Reliability `_ Kent-Andre Mardal, University of Oslo, Norway; Hans Petter Langtangen, Simula Research Laboratory and University of Oslo, Norway; Anders Logg, Simula Research Laboratory, Norway; Garth N. Wells, University of Cambridge, United Kingdom MS: `Python-based Software for Solving Partial Differential Equations - Part II of II `_ `Making a Python based PDE Solver Work Efficiently in Parallel with the Available Open Source Interfaces to MPI `_ Daniel Wheeler and Jonathan Guyer, National Institute of Standards and Technology, USA; James O'Beirne, George Mason University, USA `Python, Clawpack, and PyClaw `_ Randall J. LeVeque and Kyle T. Mandli, University of Washington, USA `Mpi4py and Petsc4py: Using Python to develop Scalable PDE Solvers `_ Lisandro Dalcin, Centro Int. de Métodos Computacionales en Ingeniería, Argentina; Chris Kees, U.S. Army Engineer Research and Development Center, USA `Paper to GPU: Optimizing and Executing Discontinuous Galerkin Operators in Python `_ Andreas Kloeckner, Courant Institute of Mathematical Sciences, New York University, USA MS: `Python Software for Numerical Optimization `_ `A Flexible Python Environment for PDE-Constrained Optimization `_ `Dominique Orban`_, École Polytechnique de Montréal, Canada; Nick Gould and Sue Thorne, Rutherford Appleton Laboratory, United Kingdom .. _dominique orban: www.gerad.ca/~orban Analyzing Optimization Models Developed with the Pyomo Modeling Software (*slides pending review by Sandia NL for release*) William E. Hart and Jean-Paul Watson, Sandia National Laboratories, USA; David Woodruff, University of California, Davis, USA Stochastic Nonlinear Programming with Pyomo (*slides pending review by Sandia NL for release*) Carl Laird, Texas A&M University, USA; Jean-Paul Watson, Sandia National Laboratories, USA `Algorithmic Differentiation in Python `_ Sebastian F. Walter, Humboldt University Berlin, Germany; Bradley M. Bell, University of Washington, USA MS: `FEniCS: Automated Solution of Differential Equations `_ `On the Construction of Preconditioners for Systems of PDEs `_ Kent-Andre Mardal, University of Oslo, Norway `Automated Goal-Oriented Error Control `_ Marie E. Rognes and Anders Logg, Simula Research Laboratory, Norway MS: `CSE Education `_ `Sculpture, Geometry and Computer Science `_ `Randy Heiland `_, Indiana University, USA; Charles Perry, www.charlesperry.com, USA; Barbara Ream, International School of Columbus, USA; Andrew Lumsdaine, Indiana University, USA MS: `Verifiable, Reproducible Research and Computational Science `_ `Reproducible Research, Lessons from the Madagascar Project `_ Sergey Fomel, University of Texas at Austin, USA (lead of the Magadascar_ project). .. _magadascar: http://ahay.org MS: `Kinetic Plasma Modeling `_ `Design and Preliminary Results for PIC on GPUs with Python `_ Min Ragan-Kelley, University of California, Berkeley, USA; John Verboncoeur, University of California, USA MS: `Advanced Algorithms on GPUs `_ `A Case Study of GPUs in Scientific Computing: Low-Order FEM `_ `Matthew G. Knepley`_, Argonne National Laboratory, USA .. _matthew g. knepley: http://www.cs.uchicago.edu/~knepley `High-Order Discontinuous Galerkin Methods by GPU Metaprogramming `_ Andreas Kloeckner, Courant Institute of Mathematical Sciences, New York University, USA; Timothy Warburton, Rice University, USA; Jan S. Hesthaven, Brown University, USA .. include:: links.txt