PRACE Summer of HPC 2016

Contribution List

22. Tour of the JSC Supercomputer Facility

Dr Willi Homberg (JSC)

7/4/16, 4:30 PM

23. Supercomputer HowTo

Dr Ivo Kabadshow (JSC)

7/4/16, 5:30 PM

hands-on. Login, ssh, remote editor etc.

8. Introduction to parallel architectures, algorithms design and performance parameters

7/5/16, 9:00 AM

Lecture

Ideas and Basics of Parallel Computing MPI: Introduction

9. Introduction to the MPI programming model

7/5/16, 9:45 AM

Lecture

Ideas and Basics of Parallel Computing MPI: Introduction

10. MPI (Non-)Blocking P2P communication

7/5/16, 11:00 AM

Practical

Ideas and Basics of Parallel Computing MPI: Introduction

24. MPI: Blocking collective communication

7/5/16, 1:30 PM

Ideas and Basics of Parallel Computing MPI: Introduction

25. MPI: Outlook (derived data types, communicators and groups, MPI I/O)

7/5/16, 4:30 PM

Ideas and Basics of Parallel Computing MPI: Introduction

15. Introduction to OpenMP

7/6/16, 8:30 AM

Lecture

Introduction to OpenMP

18. OpenMP: parallel loops and regions, worksharing constructs

7/6/16, 11:00 AM

Practical

Introduction to OpenMP

26. MPI+OpenMP Training + Hands-On

7/6/16, 1:30 PM

Introduction to OpenMP

27. Introduction to ParaView

Dr Herwig Zilken (JSC)

7/7/16, 9:00 AM

Visualization (Paraview, Rotunda)

28. In-Situ Visualization

Dr Jens Henrik Goebbert (JSC)

7/7/16, 1:30 PM

Visualization (Paraview, Rotunda)

4. A look into accelerators: CUDA advanced examples

Practical

1. CUDA: task dependencies

Practical

21. CUDA: understanding and predicting the potential of task decomposition strategies

3. Hybrid MPI/OpenMP: practical matrix computation code

Lecture

11. Introduction to 3D Scientific Visualisation

Dr Leon Kos (University of Ljubljana)

Lecture

19. Introduction to CUDA and GPUs

Lecture

6. MPI: Blocking and non-blocking communications

Lecture

5. MPI: Point-to-point communication, collective communication

Lecture

13. Open Foam and ParaView

Dr Marijo Telenta (UL)

Practical

14. OpenGL programming

Dr Leon Kos (University of Ljubljana)

Practical

16. OpenMP: Parallel regions and work sharing constructs

Lecture

17. OpenMP: Synchronization mechanisms

Lecture

20. Practical: CUDA through some very simple examples

Practical

2. Practical: divide-and-conquer with Multisort in OpenMP

Practical

7. Practical: Simple matrix computations in MPI

Practical

0. Shared-Memory Programming with OpenMP

Lecture

12. VisIt overview

Dr Leon Kos (University of Ljubljana)

Lecture