DLR Portal
Home|Textversion|Impressum|Sitemap|Kontakt Impressum Datenschutz |English
Sie sind hier: Home:Aktuelles:Veranstaltungen:PyHPC 2015
Erweiterte Suche
Aktuelles
Veranstaltungen
DLR Workshop on Quantum Computing for Applications in Science and Industry (QSI)
TiGL Workshop 2018
PyHPC 2011
CPACS/RCE2012
PyHPC 2012
PyHPC 2013
IPAW 2014
SECESA 2014
PyHPC 2014
PyHPC 2015
PyHPC 2016
PyHPC 2017
PyHPC 2018
Archiv
Institut
Abteilungen
Themen
Projekte
Software
Veröffentlichungen
Karriere
Call for Papers
Drucken

Call for Papers - 5th Workshop on Python for High-Performance and Scientific Computing



Introduction

Python is an established, high-level programming language with a large community in academia and industry. It is a general-purpose language adopted by many scientific applications such as computational fluid dynamics, biomolecular simulation, artificial intelligence, statistics, data analysis, scientific visualization etc. The use of Python for scientific, high-performance parallel, and distributed computing has increased in recent years. Especially, the use of Python rises for data analysis and Big Data processing. Traditionally, system administrators are using Python a lot for automating tasks. Since Python is extremely easy to learn with a very clean syntax, it is well-suited for education in scientific computing, mathematics, and other disciplines. Programmers are much more productive using Python.

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 goal is to present Python applications from mathematics, science, and engineering, 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.

The main focus areas of the workshop will be on hybrid programming where Python is combined with traditional HPC languages (e.g., Fortran or C/C++) and on comparison with other dynamic languages that are used for HPC and technical computing (e.g., Julia, MATLAB, or R). Another focus area is on Python programming for modern multi-core processors and accelerators (e.g., GPUs or Intel Xeon Phi) and for quantum computers.

 

Call for Papers

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.

  • Hybrid programming and integration with other programming languages
  • Comparison of Python with other dynamic languages for HPC
  • Python for multi-core processors and quantum computers
  • Interactive parallel computing
  • High-performance computing applications with Python
  • Performance analysis, profiling, and debugging of Python code
  • System administration
  • Scientific visualization
  • Problem solving environments and frameworks
  • Education in scientific computing
  • Big data and data analytics

Submissions

We invite you to submit a paper of up to 10 pages via the submission site (https://www.easychair.org/conferences/?conf=pyhpc2015). All papers will be published in cooperation with SIGHPC through ACM Digital Library and IEEE Xplore. The formatting instructions are available here: http://www.ieee.org/conferences_events/conferences/publishing/templates.html

Important Dates

Full paper submission: September 4, 2015
Notification of acceptance: September 25, 2015
Camera-ready papers: October 10, 2015
Workshop: November 15, 2015 (concurrent with SC15)

Program Committee

  • Lorena A. Barba, The George Washington University, USA
  • Achim Basermann, German Aerospace Center, Germany
  • Ian Bush, The Numerical Algorithms Group Ltd, UK
  • Yung-Yu Chen, Synopsys, Inc., Taiwan
  • Samantha Foley, University of Wisconsin, USA
  • Cyrus Harrison, Lawrence Livermore National Laboratory, USA
  • William E. Hart, Sandia National Laboratories, USA
  • Konrad Hinsen, Centre de Biophysique Moléculaire, CNRS Orléans, France
  • Michael Klemm, Intel GmbH, Germany
  • Andreas Klöckner, University of Illinois at Urbana-Champaign, USA
  • Guy K. Kloss, Mega Ltd., New Zealand
  • Maurice Ling, Nanyang Technological University, Singapore
  • Stuart Mitchell, The University of Auckland, New Zealand
  • Mike Müller, Python Academy, Germany
  • Marc Poinot, ONERA, France
  • Kurt Smith, Enthought, Inc., USA
  • Matthew Turk, Columbia University, USA

Workshop Co-Chairs

  • Andreas Schreiber, German Aerospace Center (DLR), Germany
  • William Scullin, Argonne National Laboratory, USA
  • Bill Spotz, Sandia National Laboratories, USA
  • Andy R. Terrel, Continuum Analytics, Inc., USA

PyHPC 2015
Call for Papers
Program
Keynote
Links
SC15
SIGHPC
Proceedings (ACM Digital Library)
Submission page (EasyChair)
Twitter @PythonHPC
PyHPC Workshop Series
PyHPC 2011 (Seattle, USA)
PyHPC 2012 (Salt Lake City, USA)
PyHPC 2013 (Denver, USA)
PyHPC 2014 (New Orleans, USA)
PyHPC 2015 (Austin, USA)
PyHPC 2016 (Salt Lake City, USA)
PyHPC 2017 (Denver, USA)
Verwandte Themen im DLR
Fluidmechanik und Thermodynamik
Einrichtungen und Anlagen (Raumfahrt)
Kybernetik, künstliche Intelligenz und Robotik
Copyright © 2021 Deutsches Zentrum für Luft- und Raumfahrt e.V. (DLR). Alle Rechte vorbehalten.