Execute function asynchronously on all workers in parallel pool
F = parfevalOnAll(p,fcn,numout,in1,in2,...)
F = parfevalOnAll(fcn,numout,in1,in2,...)
F = parfevalOnAll(p,fcn,numout,in1,in2,...) requests the
asynchronous execution of the function fcn on all workers in the
parallel pool p. parfevalOnAll evaluates
fcn on each worker with input arguments
in1,in2,..., and expects
numout output arguments. F is a parallel.FevalOnAllFuture object,
from which you can obtain the results when all workers have completed executing
fcn.
F = parfevalOnAll(fcn,numout,in1,in2,...) requests
asynchronous execution on all workers in the current parallel pool. If no pool
exists, it starts a new parallel pool, unless your parallel preferences disable
automatic creation of pools.
Use parfevalOnAll instead of
parfor or spmd if you want to use
clear. This preserves workspace
transparency. See Ensure Transparency in parfor-Loops or spmd Statements.
Unload a mex file before deleting temporary folders for
distributing simulations, using the clear function. Because clear has 0
output arguments, specify 0 in the numout
input argument of
parfevalOnAll.
parfevalOnAll(@clear,0,'mex');
Close all Simulink models on all workers:
p = gcp(); % Get the current parallel pool f = parfevalOnAll(p,@bdclose,0,'all'); % No output arguments, but you might want to wait for completion wait(f);
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