Training Course "GPU Programming" |
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From Monday 19 March 2012 - 08:00 To Wednesday 21 March 2012 - 17:00
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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:
- CUDA programming model and language extension
- Partitioning and granularity of parallel applications
- Debugging and profiling of CUDA kernels
- Impact of memory access patterns on performance
- Multi-GPU programming using MPI
- OpenCL programming model and API
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Location : Forschungszentrum Jülich, Jülich Supercomputing Centre |
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