https://docs.snic.se/w/index.php?action=history&feed=atom&title=OpenMP_%28Lunarc%2C_December_2014%29 2026-07-09T19:17:15Z Revision history for this page on the wiki MediaWiki 1.31.10 https://docs.snic.se/w/index.php?title=OpenMP_(Lunarc,_December_2014)&diff=5928&oldid=prev 2014-10-10T09:18:37Z

<p>Created page with &quot;{{training event info |description=An introduction to shared memory parallel programming using OpenMP |fields=Parallel programming |event type=Course |location=Lund |start date=2...&quot;</p> <p><b>New page</b></p><div>{{training event info<br /> |description=An introduction to shared memory parallel programming using OpenMP<br /> |fields=Parallel programming<br /> |event type=Course<br /> |location=Lund<br /> |start date=2014-12-03<br /> |end date=2014-12-05<br /> }}<br /> <br /> == Course overview ==<br /> OpenMP provides an efficient method to write parallel programs in C, C++ and Fortran. OpenMP programs are suitable for execution on shared memory architectures such as modern multi core systems or a single compute node of the SNIC HPC clusters.<br /> <br /> This course will introduce participants to the shared-memory model for parallel programming and the OpenMP application-programming interface. In many cases OpenMP allows an existing serial program to be upgraded incrementally, starting with the parallelisation of the most time-consuming parts of the code. Typically OpenMP programs are easily ported from one shared memory multi processor system to another one.<br /> <br /> == Pre-requisites ==<br /> Participants should be able to program in either of C, C++ or Fortran at an intermediate level.<br /> <br /> == Course web page and registration ==<br /> For more information and registration refer to the [http://www.lunarc.lu.se/Courses/an-introduction-to-shared-memory-parallel-programming-using-openmp-3-5-december-2014 Lunarc webpages]. Registration is now open.</div>

Joachim Hein (LUNARC)