DLR Portal
Home|Sitemap|Contact|Accessibility Imprint and terms of use Privacy |Deutsch
You are here: Home:News:Events:PyHPC 2014:Call for Papers
Advanced Search
News
Events
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
Archive
Institute
Departments
Activities
Projects
Software
Publications
Offers
Print

Call for Papers - 4th Workshop on Python for High Performance and Scientific Computing (PyHPC 2014)



Introduction

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 use.

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 special focus of this workshop will be on interactive parallel computing with IPython. The interactive shell IPython with its browser-based notebook interface provides an easy-to-use solution to develop, execute, debug, and monitor parallel Python applications. It is a convenient technology to document and distribute the application, too. Since, the use of IPython is rising rapidly in science and education, we encourage you to submit papers describing IPython-based solution for parallel computing, documentation, or education.

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.

  • Interactive parallel computing
  • High performance computing applications 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
  • 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=pyhpc2014). All papers will be published published as a part of the SC 2014 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: http://www.ieee.org/conferences_events/conferences/publishing/templates.html
 

Important Dates

Full paper submission: September 5, 2014 extended to September 12, 2014
Notification of acceptance: September 29, 2014 October 5, 2014
Camera-ready papers: October 31, 2014
Workshop: November 17, 2014 (concurrent with SC14)

Program Committee

  • Francesc Alted, Continuum Analytics, Inc., USA
  • 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
  • Andreas Klöckner, University of Illinois at Urbana-Champaign, USA
  • 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
  • Andy R. Terrel, Continuum Analytics, Inc., USA

 


PyHPC 2014
Call for Papers
Program
Links
SC14
Submission page (EasyChair)
Facebook event page
Twitter @PythonHPC
Lanyrd page
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)
Related Topics
Fluid Mechanics and Thermodynamics
Cybernetics, Artificial Intelligence and Robotics
Documentation and Information Science
Copyright © 2021 German Aerospace Center (DLR). All rights reserved.