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DTSTAMP:20260702T010043Z
UID:42c57605-8bc1-44f0-ab99-42fd1437c818
DTSTART:20220620T070000Z
DTEND:20220621T133000Z
DESCRIPTION:Overview\n\nThis course will be provided as ONLINE course (usin
 g Zoom).\n\nIn this tutorial we present an asynchronous data flow programm
 ing model for Partitioned Global Address Spaces (PGAS) as an alternative t
 o the programming model of MPI.\nGASPI\, which stands for Global Address S
 pace Programming Interface\, is a partitioned global address space (PGAS) 
 API. The GASPI API is designed as a C/C++/Fortran library and focused on t
 hree key objectives: scalability\, flexibility and fault tolerance. In ord
 er to achieve its much improved scaling behaviour GASPI aims at asynchrono
 us dataflow with remote completion\, rather than bulk-synchronous message 
 exchanges. GASPI follows a single/multiple program multiple data (SPMD/MPM
 D) approach and offers a small\, yet powerful API (see also http://www.gas
 pi.de and http://www.gpi-site.com).\nGASPI is successfully used in academi
 c and industrial simulation applications.\nHands-on sessions (in C) will a
 llow users to immediately test and understand the basic constructs of GASP
 I.\nThis course provides scientific training in Computational Science\, an
 d in addition\, the scientific exchange of the participants among themselv
 es.\n\n \n\nFor further information and registration please visit the HLR
 S course page.\nhttps://events.prace-ri.eu/event/1330/
SUMMARY:[ONLINE] Efficient Parallel Programming with GASPI @ HLRS
URL;VALUE=URI:https://events.prace-ri.eu/event/1330/
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