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DTSTAMP:20260629T074648Z
UID:c4547f4c-f73d-42f2-a043-19c6e181b922
DTSTART:20140508T060000Z
DTEND:20140509T160000Z
DESCRIPTION:This course gives an overview on GPGPU computing techniques to
  accelerate computational demanding tasks of HPC applications.\nThe cours
 e is mainly focused on the CUDA (Compute Unified Device Architecture) pro
 gramming language\, but some introductory notes on OpenCL\, OpenACC as we
 ll as brief overview on other types of accelerators (Intel MIC) will be g
 iven. The attendees will be introduced to the basic concepts of the langu
 age\, the main features of this programming model and to the performance 
 tuning.Target Audience\nResearchers and programmers interested in scientif
 ic programming and in efficient use of GPGPU in HPC context.Topics\nGPU NV
 IDIA architecture\, CUDA programming and execution model\, CUDA libraries\
 , performance tuning\, new Kepler GPU features\, introductory notes on Ope
 nCL\, OpenACC\, Intel MIC.Prerequisites\nA basic knowledge on C programmin
 g and Linux or Unix. A basic knowledge of any parallel programming is recc
 omended.\n\nhttps://events.prace-ri.eu/event/264/
SUMMARY:Introduction to scientific programming using GPGPU and CUDA @ CINEC
 A
URL;VALUE=URI:https://events.prace-ri.eu/event/264/
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