Start: Monday, 17 June 2019 @ 07:00

End: Wednesday, 19 June 2019 @ 14:30

Description:

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 is aimed at scientists who wish to explore the productivity gains made possible by Python for HPC.

Prerequisites: Good working knowledge of Python and NumPy

Application
Registrations are only considered until 15 May 2019 due to available space, the maximal number of participants is limited. Applicants will be notified, whether they are accepted for participitation.

Instructors: Dr. Jan Meinke, Dr. Olav Zimmermann, JSC

Contact
For any questions concerning the course please send an e-mail to j.meinke@fz-juelich.de
https://events.prace-ri.eu/event/825/

Event type:
  • Workshops and courses
High-performance computing with Python @ JSC https://tess.elixir-europe.org/events/high-performance-computing-with-python-jsc-c53f1e62-685c-4f81-b928-50588f42c5b8 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 is aimed at scientists who wish to explore the productivity gains made possible by Python for HPC. Prerequisites: Good working knowledge of Python and NumPy Application Registrations are only considered until 15 May 2019 due to available space, the maximal number of participants is limited. Applicants will be notified, whether they are accepted for participitation. Instructors: Dr. Jan Meinke, Dr. Olav Zimmermann, JSC Contact For any questions concerning the course please send an e-mail to j.meinke@fz-juelich.de https://events.prace-ri.eu/event/825/ 2019-06-17 07:00:00 UTC 2019-06-19 14:30:00 UTC [] [] [] workshops_and_courses [] []