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.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 12, 2023
Jun 13, 2023
Performance Optimization & Debugging
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Learn more about course curricula and content levels.
Dr. Daniel Gruenewald (Fraunhofer ITWM and NHR-SW) and Dr. Dirk Merten (Fraunhofer ITWM)
Monday, June 12: 08:45-09:00 Login into Zoom 09:00-13:00 Lectures and exercises 14:00-17:30 Lectures and exercises
Tuesday, June 13: 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 May 28, 2023 (extended registration phase).
Late registrations are possible according to the course capacity. We also cannot guarantee cluster access for the exercises in case of registration after the deadline.
Link to the EU and EU-associated (Horizon Europe), and PRACE countries.
Our course fees include coffee breaks (in classroom courses only).
Lorenzo Zanon, phone 0711 685 63824, zanon(at)hlrs.de
HLRS is part of the Gauss Centre for Supercomputing (GCS), together with JSC in Jülich and LRZ in Garching near Munich. EuroCC@GCS is the German National Competence Centre (NCC) for High-Performance Computing. HLRS is also a member of the Baden-Württemberg initiative bwHPC.
This course is provided within the framework of the bwHPC training program.
See the training overview and the Supercomputing Academy pages.
Hybrid Event - Stuttgart, Germany
October 18, 2024
December 06, 2024
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High-Performance Computing Center Stuttgart
Nobelstraße 19, 70569 Stuttgart, Germany
+49 711 685-87269
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.