High-Performance Computing Center Stuttgart

Shared memory parallelization with OpenMP

This course will be provided as ONLINE course (using Zoom).

The focus of this 2 days course is on shared memory parallelization with OpenMP for dual-core, multi-core, shared memory, and ccNUMA platforms. This course teaches OpenMP starting from a beginners level. Hands-on sessions (in C and Fortran) will allow users to immediately test and understand the OpenMP directives, environment variables, and library routines. Race-condition debugging tools are also presented.

This course is a PRACE training event. It is organized by the VSC Research Center, TU Wien, in cooperation with the High-Performance Computing-Center Stuttgart (HLRS). This course has been originally developed by Rolf Rabenseifner (HLRS).

 

Location

Online course
Organizer: ASC Research Center, TU Wien, Austria

Start date

Apr 28, 2022
08:45

End date

Apr 29, 2022
16:30

Language

English

Entry level

Basic

Course subject areas

Parallel Programming

Programming Languages for Scientific Computing

Topics

OpenMP

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Prerequisites and content levels

Prerequisites:
  • Familiarity with Linux and Linux editors is recommended.
  • Basics/principles of programming (in C, C++ or Fortran).
  • For doing the hands-on labs all you need is a C/C++ or Fortran compiler and a recent MPI library. Participants can choose between using their own laptops or any system they have access to that provides these, it's even possible to do the exercises in Google Colab. Alternatively, participants can ask for a training user account at the VSC for the duration of the course.
Content levels:
  • Basic: 6 hours
  • Intermediate: 4 hours
  • Advanced: 2 hours

Learn more about course curricula and content levels.

 

Instructors

Lukas Einkemmer and Philipp Gschwandtner (lectures+practicals; University of Innsbruck),
Claudia Blaas-Schenner and David Fischak (practicals only; VSC Research Center, TU Wien)

Agenda

1st day

  • 08:45  Join online
  • 09:00    Welcome
  • 09:10    Introduction to modern hardware (talk)
  • 10:10    An overview of OpenMP (talk)
  • 10:35   Coffee
  • 10:50    OpenMP programming and execution model (talk+practical)
  • 12:30   Lunch
  • 13:30    OpenMP worksharing directives (talk+practical) 
  • 15:00   Coffee
  • 15:15    More OpenMP (talk+practical)
  • 16:00    Summary (talk) + Q & A
  • 16:30   End of first day

2nd day

  • 08:45  Join online
  • 09:00    How to write correct OpenMP programs (talk)
  • 09:30    Intel Inspector XE (demo+practical)
  • 10:30   Coffee
  • 10:45    How to write efficient OpenMP programs (talk)
  • 11:00    Heat equation (talk+practical)
  • 12:30   Lunch
  • 13:30    Heat equation (practical — continued)
  • 14:00    Vectorization with OpenMP (talk)
  • 14:25    Thread affinity in OpenMP (talk)
  • 15:00   Coffee
  • 15:15     The taskloop directive (talk+practical)
  • 16:30   End of second day (course)

Handout

A link to the course material (slides and exercises) will be available at course start

Registration Information

Please register via the PRACE registration page with your official e-mail address to prove your affiliation.

events.prace-ri.eu/event/1350/registrations/997/

Registration period is from 15 February 2022 to 7 April 2022, and follows the "first come – first served" principle. For the online course we can take a maximum of 40 persons. Additional registrations will be added to a waiting list.

 

Contact

Claudia Blaas-Schenner, training(at)vsc.ac.at

 

Further courses and training team

See the training overview and the Supercomputing Academy pages.
See also information about the HLRS training department and staff.

https://vsc.ac.at/training (at the VSC Research Center, TU Wien)

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High-Performance Computing Center Stuttgart Nobelstraße 19, 70569 Stuttgart, Germany

Contact & Location

+49 711 685-87269 info(at)hlrs.de

A member of the Gauss Centre for Supercomputing, HLRS is one of three German national centers for high-performance computing.

www.gauss-centre.eu

HLRS is a central unit of the University of Stuttgart.

www.uni-stuttgart.de/en/

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