July 2017
Intermediate to advanced
244 pages
6h 33m
English
Content preview from Mastering C++ Multithreading
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MPI communication
At this point, we have a functional MPI cluster, which can be used to execute MPI-based applications (and others, as well) in a parallel fashion. While for some tasks it might be okay to just send dozens or hundreds of processes on their merry way and wait for them to finish, very often it is crucial that these parallel processes are able to communicate with each other.
This is where the true meaning of MPI (being "Message Passing Interface") comes into play. Within the hierarchy created by an MPI job, processes can communicate and share data in a variety of ways. Most fundamentally, they can share and receive messages.
An MPI message has the following properties:
- A sender
- A receiver
- A message tag (ID)
- A count of the elements ...
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