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PyHPC 2014 : 4th Workshop on Python for High Performance and Scientific Computing


When Nov 17, 2014 - Nov 17, 2014
Where New Orleans, United States
Submission Deadline Sep 5, 2014
Notification Due Sep 29, 2014
Final Version Due Oct 31, 2014
Categories    python   scientific computing   HPC   big data

Call For Papers

*Call for Papers*

4th Workshop on Python for High Performance and Scientific Computing (PyHPC)

November 17, 2014, New Orleans, USA

in conjunction with the International Conference for High Performance
Computing, Networking, Storage and Analysis (SC14)


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

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

**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


We invite you to submit a paper of up to 10 pages via the submission site
( 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:

**Important Dates**

* Full paper submission: September 5, 2014
* Notification of acceptance: September 29, 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
* 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
* Fernando Pérez, University of California, Berkeley, USA
* Marc Poinot, ONERA, France
* Kurt Smith, Enthought, Inc., USA
* Matthew Turk, Columbia University, USA

Workshop Organizers

* Andreas Schreiber, German Aerospace Center (DLR), Germany
* William Scullin, Argonne National Laboratory, USA
* Andy R. Terrel, Continuum Analytics, Inc., USA


Related Resources

HPDC 2017   The 26th International ACM Symposium on High-Performance Parallel and Distributed Computing
IJE 2016   International Journal of Education
HPC 2017   High Performance Computing Symposium
PyHPC 2016   6th Workshop on Python for High-Performance and Scientific Computing
ISC HPC 2017   ISC High Performance 2017
ParCo 2017   Parallel Computing Conference
IEEE BigComp 2017   [Deadline Extension Oct 21, 2016] 2017 IEEE International Conference on Big Data and Smart Computing
ESANN 2017   25th European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning
IEEE-HP3C 2017   IEEE-International Conference on High Performance Compilation, Computing and Communications (HP3C-2017)
BigData-FAB 2016   Special Issue on “Big Data and Machine Learning in Finance, Accounting and Business” in Electronic Commerce Research (Springer)