MATLAB PARALLEL COMPUTING TOOLBOX - S Guida Utente Scaricare il pdf (Pagina 81)

100

101

Execute Simultaneously on Multiple Data Sets

3-3

Define an spmd Statement

The general form of an spmd statement is:

spmd

end

Note If a parallel pool is not running, spmd creates a pool using your default cluster

profile, if your parallel preferences are set accordingly.

The block of code represented by <statements> executes in parallel simultaneously

on all workers in the parallel pool. If you want to limit the execution to only a portion of

these workers, specify exactly how many workers to run on:

spmd (n)

end

This statement requires that n workers run the spmd code. n must be less than or equal

to the number of workers in the open parallel pool. If the pool is large enough, but n

workers are not available, the statement waits until enough workers are available. If n

is 0, the spmd statement uses no workers, and runs locally on the client, the same as if

there were not a pool currently running.

You can specify a range for the number of workers:

spmd (m,n)

end

In this case, the spmd statement requires a minimum of m workers, and it uses a

maximum of n workers.

If it is important to control the number of workers that execute your spmd statement, set

the exact number in the cluster profile or with the spmd statement, rather than using a

range.

For example, create a random matrix on three workers:

spmd (3)

1 2 ... 76 77 78 79 80 81 82 83 84 85 86 ... 655 656

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MATLAB PARALLEL COMPUTING TOOLBOX - S Guida Utente Pagina 81

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