(Room changed to Rühle Saal, Nobelstr. 19, 70569 Stuttgart, modified on April 4, 2017)
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 (PGAS) API. 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 and Fortran) 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.
09:30-13:00 Lectures and exercises
14:00-17:30 Lectures and exercises
09:00-13:00 Lectures and exercises
14:00-15:30 Lectures and exercises
Unix / C or Fortran
Dr. Christian Simmendinger, T-Systems Solutions for Research GmbH
Dr. Mirko Rahn, Fraunhofer ITWM
Dr. Daniel Gruenewald, Fraunhofer ITWM
Each participant will get a paper copy of all slides.
for registration is June 18, 2017 (extended deadline).
Late registrations after the deadline are still possible but maybe with reduced quality of the handouts.
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.
(includes coffee breaks)
see our How to find us page.
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. The mandate for the PATCs is as follows: "The PRACE Advanced Training Centres will serve as European hubs of advanced, world-class training for researchers working in the computational sciences." (see D3.2.3)
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.