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PRACE Summer of HPC 2016

July 4, 2016 to August 31, 2016
CET timezone

Contribution List

29 out of 29 displayed
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  1. 22. Tour of the JSC Supercomputer Facility
    Dr Willi Homberg (JSC)
    7/4/16, 4:30 PM
  2. 23. Supercomputer HowTo
    Dr Ivo Kabadshow (JSC)
    7/4/16, 5:30 PM
    hands-on. Login, ssh, remote editor etc.
    Go to contribution page
  3. 8. Introduction to parallel architectures, algorithms design and performance parameters
    7/5/16, 9:00 AM
  4. 9. Introduction to the MPI programming model
    7/5/16, 9:45 AM
  5. 10. MPI (Non-)Blocking P2P communication
    7/5/16, 11:00 AM
  6. 24. MPI: Blocking collective communication
    7/5/16, 1:30 PM
  7. 25. MPI: Outlook (derived data types, communicators and groups, MPI I/O)
    7/5/16, 4:30 PM
  8. 15. Introduction to OpenMP
    7/6/16, 8:30 AM
  9. 18. OpenMP: parallel loops and regions, worksharing constructs
    7/6/16, 11:00 AM
  10. 26. MPI+OpenMP Training + Hands-On
    7/6/16, 1:30 PM
  11. 27. Introduction to ParaView
    Dr Herwig Zilken (JSC)
    7/7/16, 9:00 AM
  12. 28. In-Situ Visualization
    Dr Jens Henrik Goebbert (JSC)
    7/7/16, 1:30 PM
  13. 4. A look into accelerators: CUDA advanced examples
    Practical
  14. 1. CUDA: task dependencies
    Practical
  15. 21. CUDA: understanding and predicting the potential of task decomposition strategies
  16. 3. Hybrid MPI/OpenMP: practical matrix computation code
    Lecture
  17. 11. Introduction to 3D Scientific Visualisation
    Dr Leon Kos (University of Ljubljana)
    Lecture
  18. 19. Introduction to CUDA and GPUs
    Lecture
  19. 6. MPI: Blocking and non-blocking communications
    Lecture
  20. 5. MPI: Point-to-point communication, collective communication
    Lecture
  21. 13. Open Foam and ParaView
    Dr Marijo Telenta (UL)
    Practical
  22. 14. OpenGL programming
    Dr Leon Kos (University of Ljubljana)
    Practical
  23. 16. OpenMP: Parallel regions and work sharing constructs
    Lecture
  24. 17. OpenMP: Synchronization mechanisms
    Lecture
  25. 20. Practical: CUDA through some very simple examples
    Practical
  26. 2. Practical: divide-and-conquer with Multisort in OpenMP
    Practical
  27. 7. Practical: Simple matrix computations in MPI
    Practical
  28. 0. Shared-Memory Programming with OpenMP
    Lecture
  29. 12. VisIt overview
    Dr Leon Kos (University of Ljubljana)
    Lecture