3-4 July 2017
HLRS (High-Performance Computing Center Stuttgart)
Europe/Berlin timezone

Overview

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.

For further information and registration please visit the HLRS course page.

Starts 3 Jul 2017 09:00
Ends 4 Jul 2017 15:30
Europe/Berlin
HLRS (High-Performance Computing Center Stuttgart)
University of Stuttgart D-70569 Stuttgart Germany