PyHPC2016

6th Workshop on Python for High-Performance and Scientific Computing

November 14, 2016, Salt Lake City, UT, USA

In cooperation with SIGHPC

Held in conjunction with SC16: The International Conference on High
Performance Computing, Networking, Storage and Analysis


http://www.dlr.de/sc/pyhpc2016


INTRODUCTION

The high-level programming language Python is well established with a large
community in academia and industry. It is a general-purpose language adopted
by many scientific applications. Examples are computational fluid dynamics,
bio molecular simulation, machine learning, data analysis, or scientific
visualization. Scientists, engineers, and educators use Python for scientific
computing, high-performance computing, and distributed computing.
Traditionally, system administrators use Python for system management and
automating administration tasks. Python is extremely easy to learn due to its
very clean syntax and great readability. Therefore developers love Python as
it facilitates to write sustainable and maintainable software systems. For the
same reasons, Python is well suited for education at all levels.

The overarching theme of the workshop is productivity vs. performance in HPC
and scientific programming. While Python is extremely strong in supporting
human productivity, it still lacks in computational performance compared to
‘traditional’ HPC languages such as Fortran or C. For the workshop, we
encourage authors to submit novel research in improving performance of Python
applications as well as research on productivity of development with Python.

The workshop will bring together researchers and practitioners 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, and to share experiences
using Python in scientific computing 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, or education:

* 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
* Machine learning and data analytics
* Problem solving environments and frameworks
* Diversity and education in HPC and scientific computing


SUBMISSION

We invite you to submit a paper of up to 10 pages via the submission site
(https://www.easychair.org/conferences/?conf=pyhpc2016). 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 5, 2016
* Notification of acceptance: September 26, 2016
* Camera-ready papers: October 10, 2016
* Workshop: November 14, 2016 (Concurrent with SC16)


WORKSHOP ORGANIZERS

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


CONTACT

E-Mail: pythonhpc@dlr.de
Twitter: @PythonHPC