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Workshop Python for High Performance and Scientific Computing

26. Juli 2011

November 18, 2011, Seattle, USA

in conjunction with the International Conference for High Performance Computing, Networking, Storage and Analysis (SC11)

See the PyHPC2011 page

 PyHPC2011
zum Bild PyHPC2011

Python is an accepted high-level programming language with a growing community in academia and industry. Beside its original use as a scripting language for web applications, today Python is a general-purpose language adopted by many scientific applications like CFD, bio molecular simulation, AI, scientific visualization etc. More and more industrial domains are turning towards it as well, such as robotics, semiconductor manufacturing, automotive solutions, telecommunication, computer graphics, and games. In all fields, the use of Python for scientific, high performance parallel, and distributed computing, as well as general scripted automation is increasing. Moreover, Python is well-suited for education in scientific computing.

The workshop aims at bringing together researchers and practitioners from industry and academia using Python for all aspects of high performance and scientific computing. The goal is to present Python-based scientific applications and libraries, to 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.

Topics

  • Python-based scientific applications and libraries
  • High performance computing
  • Parallel Python-based programming languages
  • Scientific visualization
  • Scientific computing education
  • Python performance and language issues
  • Problem solving environments with Python
  • Performance analysis tools for Python application

Program Committee

  • Achim Basermann, German Aerospace Center, Germany
  • David Beazley, Dabeaz, LLC, USA
  • William E. Hart, Sandia National Laboratories, USA
  • Konrad Hinsen, Centre de Biophysique Moléculaire, CNRS Orléans, France
  • Andreas Klöckner, New York University, USA
  • Guy K. Kloß, Auckland University of Technology, New Zealand
  • Maurice Ling, Singapore Polytechnic, Singapore
  • Stuart Mitchell, The University of Auckland, New Zealand
  • Mike Müller, Python Academy, Germany
  • Travis Oliphant, Enthought, Inc., USA
  • Fernando Pérez, University of California, Berkeley, USA
  • Massimo Di Pierro, DePaul University, USA
  • Marc Poinot, ONERA, France
  • William Scullin, Argonne National Laboratory, USA
  • Andy R. Terrel, Enthought, Inc., USA
  • Gaël Varoquaux, INRIA, France

Workshop Organizers

  • Chair: Andreas Schreiber, German Aerospace Center (DLR), Germany
  • E-Mail: pyhpc2011@dlr.de

Weitere Informationen
SC11
Workshop Python for High Performance and Scientific Computing (SC11)
Facebook event page
Twitter @PyHPC2011
Birds of a Feather Python for High Performance Computing (SC11)
Open Source im DLR
DLR Software
Artikel zum Thema
Verteilte Systeme und Komponentensoftware
Workshop Python for High Performance and Scientific Computing
Downloads
PyHPC2011-CfP (0,33 MB)
Verwandte Themen im DLR
Kybernetik, künstliche Intelligenz und Robotik
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