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doku:seriell2par [2017/09/01 10:31]
ir [Open Multi-Processing (Open MP)]
doku:seriell2par [2021/05/14 13:35] (current)
goldenberg [Message Passing Interface (MPI)]
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 Most common languages to work with MPI are **Fortran**, **C**, or **C++**. However, there are also bindings to other languages, e.g., Perl, Python, R, Ruby, Java, or CL. Most common languages to work with MPI are **Fortran**, **C**, or **C++**. However, there are also bindings to other languages, e.g., Perl, Python, R, Ruby, Java, or CL.
  
-The parallel version of **Rstat** is [[rstat&#example|Rmpi]] which is installed on VSC-and VSC-3.+The parallel version of **Rstat** is [[rstat&#example|Rmpi]] which is installed on VSC-and VSC-4.
  
 [[http://de.mathworks.com/help/distcomp|Matlab]] provides a parallel computing toolbox using MPI and PVM.  [[http://de.mathworks.com/help/distcomp|Matlab]] provides a parallel computing toolbox using MPI and PVM. 
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 Contrary to MPI, the threads have access to the same memory and therefore no message passing between the threads is necessary. Contrary to MPI, the threads have access to the same memory and therefore no message passing between the threads is necessary.
  
-===== Further information and training ===== +<html><h1><font color=#cc3300>Further information and training </font> </h1></html>  
-For further information and training please contact the [[http://typo3.vsc.ac.at/research/vsc-research-center/vsc-school-seminar/|VSC Website]]+For further information and training please look at the [[http://typo3.vsc.ac.at/research/vsc-research-center/vsc-school-seminar/|VSC Website]] 
  
 +Continuously, the VSC-Team organises courses on beginners and intermediate level in the field of high performance computing. If you have specialised questions concerning your code that cannot be tackled in one of these courses, you can directly [[doku:contact|contact our team]] in order to individually solve your question.
  • doku/seriell2par.1504261887.txt.gz
  • Last modified: 2017/09/01 10:31
  • by ir