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Efficient Parallel Programming with GASPI

Universitätsrechenzentrum (URZ), Universität Heidelberg, Im Neuenheimer Feld 293, 69120 Heidelberg

Reiter

IMPORTANT: Due to the small number of participants the course has to be canceled.

Abstract:
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 www.gaspi.de and 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.

Date:
24. + 25. November 2016

Registration:
Please register by sending an e-mail to hpc-support (at) urz.uni-heidelberg.de , registering via login to this webpage is currently not available.

More information:
For more information on prequisites, language or travel, please click on the tab "Info".