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BEGIN:VEVENT
DTSTAMP:20260706T024015Z
UID:70445132-e587-49bf-92c6-942c665258d8
DTSTART:20180618T070000Z
DTEND:20180619T143000Z
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\nI
 nteractive parallel programming with IPython\n	Profiling and optimization\
 n	High-performance NumPy\n	Just-in-time compilation with numba\n	Distribut
 ed-memory parallel programming with Python and MPI\n	Bindings to other pro
 gramming languages and HPC libraries\n	Interfaces to GPUs\nThis course is 
 aimed at scientists who wish to explore the productivity gains made possib
 le by Python for HPC.\n\nPrerequisites: Good working knowledge of Python a
 nd NumPy\n\nApplication \nRegistrations are only considered until 31 May 2
 018 due to available space\, the maximal number of participants is limited
 . Applicants will be notified\, whether they are accepted for participitat
 ion.\n\nInstructors: Dr. Jan Meinke\, Dr. Olav Zimmermann\, JSC\n\nContact
  \nFor any questions concerning the course please send an e-mail to j.mein
 ke@fz-juelich.de\n\nhttps://events.prace-ri.eu/event/707/
SUMMARY:High-performance computing with Python @ JSC
URL;VALUE=URI:https://events.prace-ri.eu/event/707/
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