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DTSTAMP:20260707T214815Z
UID:e07110d6-add1-474a-b707-aa2c44359ed6
DTSTART:20200203T080000Z
DTEND:20200204T164500Z
DESCRIPTION:Scope of the course\n\nThe Python programming language has beco
 me more and more popular among researchers for its simplicity and the avai
 lability of specific programming libraries\, and at the same time the corr
 ect exploitation of heterogeneous architectures presents challenges for th
 e development of parallel applications. In order to bring these two topics
  together\, this course is focused on the use of Python on CPU and GPU pla
 tforms for scientific computing in general.\n\n \n\nGeneral description\n
 \nThe basic concepts of good programming practices in Python and general p
 arallel programming will be introduced\, and then GPU computing will be ex
 plained combining the essential theory concepts with hands-on sessions. Th
 e proposed exercises will be tested in the supercomputing facilities provi
 ded by SURFsara using Python with different programming libraries:\n\n\n  
   numba\n    PyCUDA\n    mpi4py\n\n\n \n\nIMPORTANT INFORMATION: WAITING 
 LIST\n\nIf the course gets fully booked\, no more registrations are accept
 ed through this website. However\, you can be included in the waiting list
 : for that\, please send an email to training@surfsara.nl and you'll be in
 formed when a place becomes available.\nhttps://events.prace-ri.eu/event/9
 46/
SUMMARY:Parallel and GPU Programming in Python @SURFsara
URL;VALUE=URI:https://events.prace-ri.eu/event/946/
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