In this tutorial we present an asynchronous data flow programming model for Partitioned Global Address Spaces (PGAS) as an alternative to the programming model of MPI. GASPI, which stands for Global Address Space Programming Interface, is a partitioned global address space API (PGAS). The GASPI API is designed as a C/C++/Fortran library and focused on three key objectives: scalability, flexibility and fault tolerance. In order to achieve its much improved scaling behaviour, GASPI aims at asynchronous dataflow with remote completion, rather than bulk-synchronous message exchanges. GASPI follows a single/multiple program multiple data (SPMD/MPMD) approach and offers a small, yet powerful API (see also http://www.gaspi.de and http://www.gpi-site.com). GASPI is successfully used in academic and industrial simulation applications.
Hands-on sessions (in C) will allow users to immediately test and understand the basic constructs of GASPI.
This course provides scientific training in Computational Science, and in addition, the scientific exchange of the participants among themselves.
Online course Organizer: HLRS, University of Stuttgart, Germany
Jun 20, 2022
Jun 21, 2022
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Learn more about course curricula and content levels.
Dr. Daniel Gruenewald, Dr. Dirk Merten (Fraunhofer ITWM) Co-author: Dr. Valeria Bartsch (Fraunhofer ITWM)
Monday, June 20: 08:45 log in to zoom 09:00-13:00 Lectures and exercises 14:00-17:30 Lectures and exercises
Tuesday, June 21: 09:00-13:00 Lectures and exercises 14:00-15:30 Lectures and exercises
Register via the button at the top of this page. We encourage you to register to the waiting list if the course is full. Places might become available.
Registration closes on June 1st, 2022 (extended deadline).
Late registrations after the deadline might still be possible (according to the course capacity).
Students without Diploma/Master: None Members of German universities and public research institutes: None Members of universities and public research institutes within EU or PRACE member countries: None Members of other universities and public research institutes: 180 EUR Others: 420 EUR
Our course fees include coffee breaks (in classroom courses only).
Lucienne Dettki, phone 0711 685 63894, dettki(at)hlrs.de Lorenzo Zanon, phone 0711 685 63824, zanon(at)hlrs.de
HLRS is part of the Gauss Centre for Supercomputing (GCS), which is one of the six PRACE Advanced Training Centres (PATCs) that started in Feb. 2012.
This course is a PATC course, see also the PRACE Training Portal and Events. For participants from public research institutions in PRACE countries, the course fee is sponsored through the PRACE PATC program.
HLRS is also member of the Baden-Württemberg initiative bwHPC.
This course is also provided within the framework of the bwHPC training program.
https://www.hlrs.de/training/2022/GASPI and PRACE course web page https://events.prace-ri.eu/event/HLRS-2022-GASPI
See the training overview and the Supercomputing Academy pages.
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High-Performance Computing Center Stuttgart
Nobelstraße 19, 70569 Stuttgart, Germany
+49 711 685-87209
A member of the Gauss Centre for Supercomputing, HLRS is one of three German national centers for high-performance computing.
HLRS is a central unit of the University of Stuttgart.