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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. 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. The GASPI API works especially well for complex network topologies like the 7D enhanced hypercube of Salomon. (See e.g. https://github.com/PGAS-community-benchmarks/Pipelined-Transpose/wiki.)
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.
basic-intermediate
English
Dr. Christian Simmendinger is working as a Senior HPC consultant for T-Systems - Solutions for Research. In 1998 he received a Ph.D in Theoretical Physics at the University of Stuttgart. He currently wears the hat of an innovation manager for the H2020 INTERTWinE project, which develops efficient interoperability practices and technology between market-leading APIs (including GASPI). In 2013 – together with Rui Machado and Carsten Lojewski - Christian Simmendinger was awarded the Joseph-von-Fraunhofer Preis for his contributions to GASPI/GPI.