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DTSTAMP:20260704T115936Z
UID:9fa63b1a-71d1-439a-b261-cbc232c65387
DTSTART:20160613T070000Z
DTEND:20160614T143000Z
DESCRIPTION:Python is being 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.\n\nTh
 is course combines lectures and hands-on session. We will show how Python 
 can be used on parallel architectures and how performance critical parts o
 f the kernel can be optimized using various tools.\n\nDay 1: Using Python 
 productively for parallel computing\n\nInteractive parallel programming wi
 th IPython\n	High-performance NumPy and SciPy\n	Distributed-memory paralle
 l programming with Python and MPI\nDay 2: Python in concert with other pro
 gramming languages and accelerators\n\nCython\n	f2py\n	PyCUDA\n	PyOpenCL\n
 	Numba\nThis course is aimed at scientists who wish to explore the product
 ivity gains made possible by Python for HPC.\n\nPrerequisites: Experience 
 with Python and NumPy\n\nApplication \nRegistrations are only considered u
 ntil 31 May 2016 due to available space\, the maximal number of participan
 ts is limited. Applicants will be notified\, whether they are accepted for
  participitation.\n\nInstructors: Dr. Jan Meinke\, Dr. Olav Zimmermann\, J
 SC\n\nContact \nFor any questions concerning the course please send an e-m
 ail to j.meinke@fz-juelich.de\n\nhttps://events.prace-ri.eu/event/465/
SUMMARY:High-performance computing with Python @ JSC
URL;VALUE=URI:https://events.prace-ri.eu/event/465/
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