HLRS High Performance Computing Center Stuttgart: Introduction to MPI @ IT4I

These two courses (introduction & advanced MPI) are organized by IT4I in cooperation with HLRS and VSC Vienna.
Both courses are also a PRACE training courses.

Introduction to MPI

Message Passing Interface (MPI) is a dominant programming model on clusters and distributed memory architectures. This course is focused on its basic concepts. In particular, exchanging data by point-to-point and collective operations. Attendees will be able to immediately test and understand these constructs in hands-on sessions.

Content level: 75% for beginners, 25% for intermediate

May 25 (8:45-15:15), May 26 (8:45-15:15), and May 27 (8:45-13:15), for details and registration see here @IT4I or here @PRACE

Advanced MPI (see other webpage)

Message Passing Interface (MPI) is a dominant programming model on clusters and distributed memory architectures. This course is focused on users with some experience with MPI that want to deepen their knowledge. The course briefly recapitulates basic concepts and describes them in more detail. Then, more advanced concepts will be described (e.g., one-sided communication, parallel file I/O). Attendees will be able to immediately test and understand all these constructs in hands-on sessions.

Content level: 40% for beginners, 40% for intermediate, and 20% for advanced users

Oct 19 (8:45-15:15), Oct 20 (8:45-15:15), and Oct 21 (8:45-13:15),, for details and registration see here @IT4I or here @PRACE

Location

Online course
Organizer: IT4Innovations National Supercomputing Center, Ostrava, Czech Republic

Start date

May 25, 2021
08:45

End date

May 27, 2021
13:15

Language

English

Entry level

Basic

Course subject areas

Parallel Programming

Topics

MPI

Back to list

Introduction to MPI @ IT4I

Location

Content levels

Language

Shortcut-URL & Course number

Further courses

Related training

All training

Hackathon: Porting and Optimization for Hunter

Hybrid Programming in HPC – MPI+X

Parallel Programming with MPI, OpenMP and Tools

Efficient Parallel Programming with GASPI