Python is an established, high-level programming language with a large following in research and industry. It is a general-purpose language adopted by many scientific applications in fields including computational fluid dynamics, biomolecular 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.
Call for Papers
Please submit papers covering the usage of Python in any of the following topics and application areas as well as on broader topics that span multiple of these areas. Feel free to submit papers on any other application of Python in business, science, technology, engineering, mathematics or any other domain.
- 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
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
Full paper submission: September 20, 2013
Notification of acceptance: October 5, 2013
Camera-ready papers: November 1, 2013
Workshop: November 18, 2013