Parallelization with MPI

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

On clusters and distributed memory architectures, parallel programming with the Message Passing Interface (MPI) is the dominating programming model. This 4 half-days course teaches parallel programming with MPI starting from a beginners level. Hands-on sessions (in C, Fortran, and Python (NEW)) will allow users to immediately test and understand the basic constructs of the Message Passing Interface (MPI).

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).

 

 

 

 

Veranstaltungsort

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

Veranstaltungsbeginn

17. Mai 2022
08:15

Verstaltungsende

20. Mai 2022
13:00

Sprache

Englisch

Einstiegslevel

Basis

Themenbereiche

Paralleles Programmieren

Programmiersprachen für wissenschaftliches Rechnen

Themen

MPI

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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

Claudia Blaas-Schenner (VSC Research Center, TU Wien),
David Fischak (tutor; VSC Research Center, TU Wien)

Agenda

1st day – 17 May 2022

  • 08:15   Join online
  • 08:30       Welcome (talk)
  • 08:35       MPI overview (talk+demo)
  • 10:00   Breakout-Rooms - meet your exercise group
  • 10:15       Process model and language bindings (talk+demo+practical)
  • 11:30   Break
  • 11:40       Messages and point-to-point communication (talk+practical)
  • 13:00   End of first day

2nd day – 18 May 2022

  • 08:15   Join online
  • 08:30       Ping pong benchmark - solution and results (talk+discussion)
  • 08:40       Nonblocking communication (talk+demo+practical)
  • 10:00   Break
  • 10:15       Collective communication (talk+demo+practical)
  • 11:30   Break
  • 11:45       Optimizing MPI communication - a real world example (talk+discussion)
  • 12:00       Short Tour: other MPI topics (talk)
  • 12:30       Fortran and MPI - only for Fortran participants (talk)
  • 13:00   End of second day

3rd day – 19 May 2022

  • 08:15   Join online
  • 08:30       Groups & Communicators (talk+practical)
  • 09:30   Break
  • 09:45       Virtual topologies (talk+practical)
  • 11:30   Break
  • 11:45       Derived datatypes (talk+demo+practical)
  • 13:00   End of third day

4th day – 20 May 2022

  • 08:15   Join online
  • 08:30       One-sided Communication (talk+practical)
  • 10:00   Break
  • 10:15       Shared Memory One-sided Communication (talk+practical)
  • 11:30   Break
  • 11:45       Short Tour: MPI I/O (talk)
  • 12:15       Best practice, Summary, Q&A (talk+discussion)
  • 13:00   End of fourth 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/1360/registrations/1007/

Registration period is from 25 February 2022 to 3 May 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

See the training overview and the Supercomputing Academy pages.

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

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