PyHPC 2016: 6th Workshop on Python for High-Performance and Scientific Computing
Event Type
Workshop
Applications
Programming Systems
SIGHPC Workshop
Scientific Computing
TimeMonday, November 14th9am - 5:30pm
Location155-E
DescriptionThe 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, biomolecular simulation, machine learning, data analysis, and 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 writing 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.
More at: http://www.dlr.de/sc/pyhpc2016
This workshop will produce a refereed proceedings that will be available through the ACM Digital Library and IEEE Xplore (free of charge during and immediately after SC, and free after that to SIGHPC members).
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.
More at: http://www.dlr.de/sc/pyhpc2016
This workshop will produce a refereed proceedings that will be available through the ACM Digital Library and IEEE Xplore (free of charge during and immediately after SC, and free after that to SIGHPC members).
Links
Proceedings
