Parallel programming with OpenMP (Hybrid Course)

Topics covered

OpenMP is the de facto standard for shared memory programming in a scientific context. Using annotations, the C/C++/Fortran programmer can parallelize his code step by step. However, to obtain efficient code, it is mandatory to have a thorough understanding of the features and pitfalls of  OpenMP. This course deals with those in detail. This course covers the OpenMP 3.1 standard, and gives an overview of the new features in OpenMP 4.0.

• Overview and execution model
• Work sharing directives
• Data environment
• Pitfalls
• Verification of OpenMP applications
• OpenMP 4.0 overview

Target audience

This info session is primarily targeted at VSC-users, although other interested parties are welcome as well.

Previous knowledge

Good working knowledge of C/C++ or Fortran programming is expected. Basic knowledge of Linux usage and HPC systems helps. Level: Intermediate

Result/Objectives

• Participants are able to start developing multicore applications  using OpenMP.
• Good understanding of the semantics of OpenMP features
• Awareness of potential pitfalls
• Familiarity with the new features in the OpenMP 4 standard

Remark This course is based on a PATC course developed by dr. Rolf Rabenseifner (HLRS, Stuttgart).