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DTSTAMP:20260711T131902Z
UID:c55cef92-fcb7-450c-83f2-969654297c78
DTSTART:20151208T070000Z
DTEND:20151210T150000Z
DESCRIPTION:Description\n\nThis course will give a short introduction to NV
 idia GPU's and Intel Xeon Phis\, which are currently the two most popular 
 accelerator architectures in HPC. In addition to the basic  pragma-based 
 programming models some performance considerations and limitations to the 
 memory traffic between the host and the accelerator will be discussed. Las
 t part of the course will give a short one-day introduction to the lower l
 evel approach for GPU programming using CUDA.\n\nAgenda\n\nDay 1\nIntroduc
 tion to Xeon Phi\, offloading\, data access and performance\, more advance
 d topics\n\nDay 2\nIntroduction to GPUs\, OpenACC basics\, data access and
  performance\, more advanced topics\n\nDay 3\nIntroduction to CUDA program
 ming\, kernels\, memory model\, events and streams\n\nLearning outcome\nTh
 e students will learn the strengths and weaknesses of accelerators and kno
 w how to utilize them for simple tasks with pragma-based programming tools
 . In addition\, students will also learn the basics of low-level GPU progr
 amming using CUDA.\n\nPre-requisites\nGood knowledge on C programming lang
 uage is needed for the CUDA part. Some basic knowledge about parallel prog
 ramming is beneficial\, but no prior knowledge on GPUs is needed.\n\nLectu
 rers: Sebastian von Alfthan (CSC)\, Mikko Byckling (Intel)\, Sami Ilvonen
  (CSC)\n\nLanguage: EnglishPrice:         Free of charge\n \n\nht
 tps://events.prace-ri.eu/event/413/
SUMMARY:Introduction to Accelerators @ CSC
URL;VALUE=URI:https://events.prace-ri.eu/event/413/
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