BEGIN:VCALENDAR
VERSION:2.0
PRODID:icalendar-ruby
CALSCALE:GREGORIAN
BEGIN:VEVENT
DTSTAMP:20260704T062009Z
UID:b159b3c9-7c81-45f0-83af-6d8a85534e4e
DTSTART:20161011T080000Z
DTEND:20161012T120000Z
DESCRIPTION:Please note: this course is now full.  Any further registratio
 ns will be added to a waiting list and we will let you know right away if 
 a place becomes available.\n\nPlease note: change of venue due to building
  works.\n\nGraphics Processing Units (GPUs) were originally developed for 
 computer gaming and other graphical tasks\, but for many years have been e
 xploited for general purpose computing across a number of areas. They offe
 r advantages over traditional CPUs because they have greater computational
  capability\, and use high-bandwidth memory systems (where memory bandwidt
 h is the main bottleneck for many scientific applications).\n\nThis introd
 uctory course will describe GPUs\, and the advantages they offer. It will 
 teach participants how to get started with programming GPUs\, which cannot
  be used in isolation but as "accelerators" in conjunction with CPUs\, and
  how to get good performance.\n\nThe course focuses on NVIDIA GPUs\, and t
 he CUDA programming language (an extension to C/C++ or Fortran).\n\nHands-
 on practical sessions are included.\n\nYou will require to bring your lapt
 op.  The training will be run on a web-based system so all you will need 
 is a relatively recent web browser (Firefox or Chrome work best).\n\nThe c
 ourse format will be:\n\nTuesday 11th Oct - Mixture of lectures and practi
 cal activities\n	Wednesday 12th Oct - Morning Only - Seminar on tutor\, Al
 an Gray's\, own work with GPUs\, and a chance to follow up any issues with
  course participants. Room TBC\nDetailed course timetable and materials.\n
 \nhttps://events.prace-ri.eu/event/548/
SUMMARY:GPU Programming with CUDA 11-12 Oct @ EPCC at UCL
URL;VALUE=URI:https://events.prace-ri.eu/event/548/
END:VEVENT
END:VCALENDAR