Hosted by CCS, U. Tsukuba
Co-hosted by SIG HPC, IPSJ
Sponsored by

6th International Workshop on OpenMP, June 14-16, 2010, Tsukuba, Japan
Key dates
Call for Posters
Poster Submission
Social Events
Authors Information
Previous IWOMPs
Related Links:
Center for Computational Sciences, Univ. of Tsukuba
HPCS Lab., Univ. of Tsukuba
Information Processing Society of Japan
Special Interest Group on High Performance Computing, IPSJ
Any questions or requests, contact to iwomp2010 at
Agenda of OpenMP Tutorial (text version)

OpenMP Tutorial: An Overview of OpenMP

Ruud van der Pas
Senior Staff Engineer
Oracle Solaris Studio
Menlo Park, CA, USA

OpenMP is a widely accepted and used shared memory parallel programming model ( Over time it has evolved and adapted to both hardware trends and the needs of software developers. This makes it very suitable to develop parallel applications for multicore based systems, ranging from a small laptop to a very large server.

The tutorial presents a practical overview of OpenMP. Other than some programming experience in C, C++ or Fortran, no background in parallel computing is assumed. Most OpenMP constructs will be introduced and explained by means of an example.


Opening talk [ slides ]

13:30-14:30 Basic Concepts in Parallelization

This talk covers the most important basic concepts in parallel computing. Topics covered are threads, parallelization, speed up, efficiency, Amdahl's Law and parallel overheads.

[ slides ]

14:30-15:30 Getting Started with OpenMP

In this talk we demonstrate how OpenMP can be used to parallelize the most common and straightforward types of computations. Several live demos will be given.

15:30 - 16:00 Tea/Coffee Break
16:00 - 17:00 Using OpenMP

Now that the basics of OpenMP have been covered, it is time to look at certain constructs in more detail, as well as introduce some powerful, but more specialized features OpenMP offers.

[ slides (Getting Started with OpenMP + Using OpenMP) ]

17:00-18:00 OpenMP and Performance

The goal of parallelization is to improve performance. Unfortunately, there are many misconceptions regarding OpenMP and performance. In this talk these will be addressed, as well as tips and tricks how to obtain good performance using OpenMP.

[ slides ]