From Andreas.Schreiber at dlr.de Thu Jul 21 19:31:20 2016 From: Andreas.Schreiber at dlr.de (Andreas.Schreiber at dlr.de) Date: Thu, 21 Jul 2016 23:31:20 +0000 Subject: [python-hpc] Call for Papers: PyHPC2016: 6th Workshop on Python for High-Performance and Scientific Computing Message-ID: CALL FOR PAPERS 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.htm l 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 at dlr.de Twitter: @PythonHPC