Run Functions in the Background

If a function is supported in a thread-based environment, you can useparfevalandbackgroundPoolto run it in the background.

Use therandfunction to generate a100-by-100matrix of random numbers in the background.

f = parfeval(backgroundPool,@rand,1,100);

For more information about running code in the background, seebackgroundPool.

Run Functions on a Thread Pool

If a function is supported in a thread-based environment, you can run it on a thread pool if you have Parallel Computing Toolbox™.

parpool("threads");parfori = 1:100 A{i} = rand(100);end

关于线程池的更多信息,请参阅ThreadPool(Parallel Computing Toolbox).

Automatically Scale Up

If you have Parallel Computing Toolbox, your code that usesbackgroundPoolautomatically scales up to use more available cores.

For information about the number of cores that you can use, see theNumWorkersproperty ofBackgroundPool.

By running multiple functions in the background at the same time when you use Parallel Computing Toolbox, you can speed up the following code.

fori = 1:100 f(i) = parfeval(backgroundPool,@rand,1,100);end

Check Thread Supported Functions

If a MATLAB function has thread support, you can consult additional thread usage information on its function page. See "Thread-Based Environment" in the Extended Capabilities section at the end of the function page.

In general, functionality inGraphics,App Building,External Language Interfaces,Files and Folders, andEnvironment and Settingsis not supported.

MATLAB and several toolboxes include functions with built-in thread support. To view lists of all functions in MATLAB and these toolboxes that have thread support, use the links in the following table. Functions in the lists with warning indicators have limitations or usage notes specific to running the function on threads. You can check the usage notes and limitations in the Extended Capabilities section of the function reference page. For information about updates to individual thread-supported functions, see the release notes.