[hpc-announce] CfP: Python for High Performance and Scientific Computing (PyHPC 2013) Workshop at SuperComputing/SC13

William Scullin wscullin at alcf.anl.gov
Thu Jun 27 15:47:08 CDT 2013

Call for Papers

Python for High Performance and Scientific Computing (PyHPC 2013) Workshop
November 18, 2013, Denver, USA
in conjunction with the IEEE/ACM International Conference for High
Performance Computing, Networking, Storage and Analysis (SC13)

Python is an established, general-purpose, high-level programming
language with a large following in research and industry for
applications in fields including computational fluid dynamics,
finance, biomolecular simulation, artificial intelligence, statistics,
data analysis, scientific visualization, and systems management. The
use of Python in scientific, high performance parallel, big data, and
distributed computing roles has been on the rise with the community
providing new and innovative solutions while preserving Python’s
famously clean syntax, low learning curve, portability, and ease of

The workshop will bring together researchers and practitioners from
industry, academia, and the wider community using Python in all
aspects of high performance and scientific computing. The goals are to
present Python applications from mathematics, science, and
engineering; discuss general topics regarding the use of Python - such
as language design and performance issues; and to share experience
using Python in scientific computing education.

Please submit papers related to Python usage in any of the following
topics and application areas as well as on broader topics in business,
science, technology, engineering, education, mathematics or
multidisciplinary topics.

* High performance computing with Python
* Performance analysis, profiling, and debugging of Python code
* System administration
* Integration with other programming languages
* Scientific visualization
* Problem solving environments and frameworks
* Education in scientific computing
* Computational finance applications
* Health and biosciences applications
* Big data and data analytics
* Image processing

We invite you to submit a paper of up to 10 pages via the submission
site (https://www.easychair.org/conferences/?conf=pyhpc2013). All
papers will be published published as a part of the SC13 digital
proceedings. These are IEEE digital library proceedings that will be
available online. The 10-page limit includes figures, tables, and
appendices, but does not include references, for which there is no
page limit. The formatting instructions are available here:

Important Dates
Full paper submission:	September 6, 2013
Notification of acceptance:	September 30, 2013
Camera-ready papers:	November 1, 2013
Workshop:			November 18, 2013

Program Committee
Achim Basermann, German Aerospace Center, Germany
William E. Hart, Sandia National Laboratories, USA
Konrad Hinsen, Centre de Biophysique Moléculaire, CNRS Orléans, France
Guy K. Kloss, Auckland University of Technology, New Zealand
Maurice Ling, The University of Melbourne, Australia
Stuart Mitchell, The University of Auckland, New Zealand
Mike Müller, Python Academy, Germany
Travis Oliphant, Continuum Analytics, Inc., USA
Fernando Pérez, University of California, Berkeley, USA
Massimo Di Pierro, DePaul University, USA
Marc Poinot, ONERA, France
Andy R. Terrel, TACC, University of Texas at Austin, USA
Gaël Varoquaux, INRIA, France
Aron Ahmadia, Columbia University, New York, USA
William Spotz, Sandia National Laboratory, USA
Kurt Smith, Enthought, Inc., USA
Francesc Alted, Continuum Analytics, Inc., USA
Matthew Turk, Columbia University, USA
Cyrus Harrison, Lawrence Livermore National Laboratory, USA
Samantha Foley, University of Wisconsin, USA
Emmanuelle Gouillart, Joint Unit CNRS/Saint-Gobain, France
Yung-Yu Chen, Taiwan

Workshop Organizers
Andreas Schreiber, German Aerospace Center (DLR), Germany
William Scullin, Argonne National Laboratory, USA

E-Mail: pyhpc2013 at dlr.de

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