6-7 June 2016
Stuttgart (Germany)
CET timezone

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.

Starts 6 Jun 2016 09:00
Ends 7 Jun 2016 15:30
CET
Stuttgart (Germany)
Room 1.067 / Medienlabor
HLRS, University of Stuttgart, Nobelstr. 19, D-70569 Stuttgart, Germany
Registration For academic participants within Europe or PRACE: see Registration button on the left. After your registration, you will receive an automated "congratulations"-email about your successful registration. This email implies that you have a guaranteed seat in the course and you should organize your travel.

For other participants, please apply for the HLRS course 2016-GASPI
Deadline for registration is May 8, 2016.
Fee Members of German universities and public research institutes: none
Members of universities and public research institutes within Europe or PRACE: none
All other participants (not from academia, or from outside Europe), please apply for the HLRS course 2016-GASPI.
Further informations

For further informations see HLRS course 2016-GASPI.