How to use parpool for independent expressions

1 次查看(过去 30 天)
How to evaluate independent expressions in local parpool on laptop.
When I try the code below, the parpool is idle.
How to force matlab to evaluate the expressions in parallel.
x = 1; y =2; z=3;
parpool('local',4)
s = x + y + z;
a = 2*x + z;
w = 3*y + 2*z;
f = 3*x + 2*z;
  1 个评论
Raymond Norris
Raymond Norris 2021-9-24
Let me ask you this. Using a pool of workers (i.e. processes) cancels out any implicit threadedness. So will there be any value in doing as your requesting?
To see the impact, try the following:
maxNumCompThreads(1);
tic
< run code >
toc
maxNumCompThreads('auto');
tic
< run code >
toc
Next, run your code using a parallel pool of workers and parfeval (as Mohammad has suggested) and see how close it gets to your timings with maxNumCompThreads set to 'auto'. You might see it's a wash.

请先登录,再进行评论。

采纳的回答

Mohammad Sami
Mohammad Sami 2021-9-24
You can use the parfeval function to make these calculations on a worker thread.
x = 1; y =2; z=3;
p=parpool('local',4)
Fs = parfeval(p,@(x,y,z) x + y + z,1,x,y,z);
Fa = parfeval(p,@(x,z)2*x + z,1,x,z);
Fw = parfeval(p,@(y,z)3*y + 2*z,1,y,z);
Ff = parfeval(p,@(x,z)3*x + 2*z,1,x,z);
s = Fs.fetchOutputs;
a = Fa.fetchOutputs;
w = Fw.fetchOutputs;
f = Ff.fetchOutputs;
To avoid copying of data to workers from main thread if you have large datasets, you can use thread based parpool.

更多回答(0 个)

类别

Help CenterFile Exchange 中查找有关 Parallel Computing Fundamentals 的更多信息

产品


版本

R2021a

Community Treasure Hunt

Find the treasures in MATLAB Central and discover how the community can help you!

Start Hunting!

Translated by