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PyHPC 2013 : Python for High Performance and Scientific Computing

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Link: http://www.dlr.de/sc/pyhpc2013
 
When Nov 18, 2013 - Nov 18, 2013
Where Denver, CO
Submission Deadline Sep 6, 2013
Notification Due Sep 30, 2013
Final Version Due Nov 1, 2013
Categories    python   scientific computing   HPC   big data
 

Call For Papers

===============
Call for Papers
===============

Workshop Python for High Performance and Scientific Computing (PyHPC 2013)


November 18, 2013, Denver, USA

in conjunction with the International Conference for High Performance
Computing, Networking, Storage and Analysis (SC13)

http://www.dlr.de/sc/pyhpc2013


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, bio molecular simulation, artificial intelligence, statistics,
data analysis, scientific visualization etc. More and more industrial
domains are turning towards it as well, such as aeronautics, robotics,
semiconductor manufacturing, automotive solutions, telecommunication,
finance, and games. The use of Python for scientific, high performance
parallel, and distributed computing in increasing since 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.

The workshop will bring 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 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.


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


Papers/Submission
-----------------
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 SC 2013 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 6, 2013
Notification of acceptance: September 30, 2013
Camera-ready papers: November 1, 2013




Workshop Organizers
-------------------
* Chairs: Andreas Schreiber, German Aerospace Center (DLR), Germany
William Scullin, Argonne National Laboratory, USA
E-Mail: pyhpc2013@dlr.de

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