The Swiss National Supercomputing Centre is pleased to announce that the "High-Performance Computing with Python" course will be held from October 09-11, 2018 at CSCS in Lugano, Switzerland.
Python is increasingly used in high-performance computing projects. It can be used either as a high-level interface to existing HPC applications and libraries, as embedded interpreter, or directly.
This course combines lectures and hands-on sessions. We will show how Python can be used on parallel architectures and how to optimize critical parts of the kernel using various tools.
The following topics will be covered:
- Interactive parallel programming with IPython
- Profiling and optimization
- High-performance NumPy
- Just-in-time compilation with Numba
- Distributed-memory parallel programming with Python and MPI
- Bindings to other programming languages and HPC libraries
- Interfaces to GPUs
This course addresses scientists who wish to explore the productivity gains made possible by Python for HPC.
- Dr. Jan Meinke, Jülich Supercomputing Centre
- Dr. Olav Zimmermann, Jülich Supercomputing Centre
Jan H. Meinke is a staff scientist at the Jülich Supercomputing Centre (JSC) and a member of the Simulation Laboratory Biology. He received his PhD in Physics in 2002 from Michigan State University and has been working at Forschungszentrum Jülich since 2005. His research interests include protein folding and finding ways to make efficient use of HPC hardware for solving scientific problems. He has been teaching Scientific Python courses since 2011.
Olav Zimmermann is a staff scientist at the Jülich Supercomputing Centre (JSC) and head of the Simulation Laboratory Biology. He received a diploma in experimental molecular genetics and a Ph.D. on a topic in structural bioinformatics from the University of Cologne and was a co-founder and director of the bioinformatics start-up Science Factory. Since 2005 he is at Forschungszentrum Jülich and has been teaching Scientific Python courses since 2011. Olav's main interests are synergies between machine learning and physics-based simulations, efficient analysis algorithms for biological data, and synthetic biology.
The agenda will be available closer to the course dates. The meeting will start at 10:30 on the first day and end at 16:30 on the last day.
All participants must register for the course. The registration fee includes coffee breaks and lunches throughout the three day course.
Course Fee: 240 CHF
Deadline for registration: Monday, October 01, 2018
Kindly note that the course can take place only if there are sufficient confirmed registrations received by the deadline. The minimum number of participants is 8.
Please contact Guilherme Peretti-Pezzi (firstname.lastname@example.org) for questions related to the course content and email@example.com for questions related to the event logistics.
Kindly note that no parking space is available at the Swiss National Supercomputing Centre. The closest bus stop to the centre is Lugano, Stadio. From Lugano railway station, you should take bus number 4 or 6.
Suggestions regarding travels and accommodation are available here.
You are encouraged to travel by public transportation. There is a Park & Ride Resega parking lot, within five minutes walk from CSCS.
We look forward to welcoming you at CSCS!