Thursday, July 10

MS81
Python and Sage: Open Source Scientific Computing - Part III of III

10:30 AM - 12:30 PM
Room: San Diego

For Part II, see MS73

This minisymposium will cover both infrastructure and applications of the Python language in scientific computing.

Python is an open source, high level language that is rapidly growing as an alternative to proprietary systems for scientific computing. Based on Python, the Sage project (http://sagemath.org) unifies both Python libraries and interfaces to other non-python projects. With this approach, Sage offers a comprehensive and growing set of mathematical capabilities, from number theory to symbolic computing.

Organizer: Randall J. LeVeque
University of Washington
Fernando Perez
University of Colorado at Boulder

10:30-10:55 Interactive Parallel Computing and Distributed Arrays in Python

Brian E. Granger, Tech-X Corporation; Fernando Perez, University of Colorado at Boulder; Benjamin Ragan-Kelley, University of California, Berkeley; Dan Karipides, Tech-X Corporation

Cancelled 11:00-11:25 Distributed Computing with Sage

Yi Qiang, University of Washington

11:30-11:55 PyTrilinos: A Python Interface to Parallel, Object-Oriented Solver Packages for Scientific Computing

William F. Spotz and Alfred Lorber, Sandia National Laboratories

12:00-12:25 Software Components for Scientific Computing

Michel F. Sanner, Scripps Research Institute