Suche

zur Hauptseite

Institute for Advanced Simulation (IAS)

Navigation und Service


Tutorial "Efficient Parallel Programming with GASPI"

Anfang
19.05.2014 13:30 Uhr
Ende
19.05.2014 17:00 Uhr
Veranstaltungsort
Jülich Supercomputing Centre, Ausbildungsraum 2, Geb. 16.3, R. 004
Inhalt:

In this tutorial we present an asynchronous dataflow 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.

Agenda:
13:15-13:30 Registration
13:30-14:15 General introduction to GASPI
14:15-14:30 One sided communication in GASPI
14:30-14:45 Coffee Break
14:45-15:00 Memory segments in GASPI
15:00-16:30 Data Flow in GASPI
16:30-16:45 Collectives and Passive Communication
16:45-17:00 Questions and Answers

Sprache:
Der Kurs wird auf Englisch gehalten.
Zeit:
19. Mai 2014, 13:30-17:00 Uhr
Ort:
Jülich Supercomputing Centre, Ausbildungsraum 2, Geb. 16.3, R. 004
Teilnehmerzahl:
maximal 24
Referenten:
Dr. Christian Simmendinger, T-Systems Solutions for Research GmbH,
Dr. Mirko Rahn and Dr. Daniel Gruenewald, Fraunhofer ITWM
Anmeldung:
Bitte melden Sie sich bei Rene Halver an, Tel. +49 2461 61 6424,
E-Mail: jsc-gaspi@fz-juelich.de
Ankündigung als pdf-Datei:
 Tutorial "Efficient Parallel Programming with GASPI" (PDF, 32 kB)



Servicemenü

Homepage