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DTSTAMP:20260706T024014Z
UID:85e34d3d-573a-4bed-8f53-6196c01fd1df
DTSTART:20201116T080000Z
DTEND:20201120T120000Z
DESCRIPTION:Python is increasingly used in high-performance computing proje
 cts. It can be used either as a high-level interface to existing HPC appli
 cations and libraries\, as embedded interpreter\, or directly.\n\nThis cou
 rse combines lectures and hands-on sessions. We will show how Python can b
 e used on parallel architectures and how to optimize critical parts of the
  kernel using various tools.\n\nThe following topics will be covered:\n\n\
 n	Interactive parallel programming with IPython\n	Profiling and optimizati
 on\n	High-performance NumPy\n	Just-in-time compilation with numba\n	Distri
 buted-memory parallel programming with Python and MPI\n	Bindings to other 
 programming languages and HPC libraries\n	Interfaces to GPUs\n\n\nThis cou
 rse is aimed at scientists who wish to explore the productivity gains made
  possible by Python for HPC.\n\nPrerequisites: Good working knowledge of P
 ython and NumPy\n\nApplication \nRegistration has ended. Applicants will b
 e notified\, whether they are accepted for participitation.\n\nInstructors
 : Dr. Jan Meinke\, Dr. Olav Zimmermann\, JSC\n\nContact \nFor any question
 s concerning the course please send an e-mail to j.meinke@fz-juelich.de\nh
 ttps://events.prace-ri.eu/event/982/
SUMMARY:[ONLINE] High-performance computing with Python @ JSC
URL;VALUE=URI:https://events.prace-ri.eu/event/982/
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