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HIGHLIGHTER:
Friday, 19 Apr 2019
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Training Course "GPU Programming"
From Monday 15 April 2013 -  08:00
To Wednesday 17 April 2013 - 17:00
by  This e-mail address is being protected from spambots. You need JavaScript enabled to view it Hits : 675

Many-core programming is a very dynamic research area. Many scientific applications have been ported to GPU architectures during the past four years. We will give an introduction to CUDA, OpenCL, and multi-GPU programming using examples of increasing complexity. After introducing the basics the focus will be on optimization and tuning of scientific applications. Topics covered will include:

  1. CUDA programming model and language extension
  2. Partitioning and granularity of parallel applications
  3. Debugging and profiling of CUDA kernels
  4. Impact of memory access patterns on performance
  5. Multi-GPU programming using MPI
  6. OpenCL programming model and API

 

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Location : Jülich Supercomputing Centre, Ausbildungsraum 1, building 16.3, room 021

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