Parallel for-Loops (`parfor`)

通过运行使用并行处理parforon workers in a parallel pool

Parallel Computing Toolbox™ supports interactive parallel computing and enables you to accelerate your workflow by running on multiple workers in a parallel pool. Useparforto executefor-loop iterations in parallel on workers in a parallel pool. When you have profiled your code and identified slowfor-loops, tryparforto increase your throughput. Developparfor-loops on your desktop and scale up to a cluster without changing your code.

Frequently Viewed Topics

Functions

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Functions and Classes

`parfor`	执行`for`-loop iterations in parallel on workers
`parforptions.`	Options set for`parfor`
`parpool`	Create parallel pool on cluster
`parfeval`	Run function on parallel pool worker
`ticBytes`	Start counting bytes transferred within parallel pool
`tocBytes`	Read how many bytes have been transferred since calling`ticBytes`
`发送`	Send data from worker to client using a data queue
`afterEach`	Define a function to call when new data is received on a DataQueue
`parallel.Pool`	平行的工人游泳池
`parallel.pool.DataQueue`	Send and listen for data between client and workers

Topics

Getting Started with`parfor`

决定何时使用律程

Discover basic concepts of aparfor-loop, and decide when to use it.

将循环转换为循环循环

诊断和修复常见parfor问题。

Ensure That parfor-Loop Iterations are Independent

Unlike afor-loop,parfor-Loop迭代没有保证订单。

Nested parfor and for-Loops and Other parfor Requirements

Learn how to deal with parallel nested loops.

在ParfoS循环中排除丢失的变量

Discover variable requirements and classification inparfor-loops.

Running`parfor`-Loops

Interactively Run a Loop in Parallel Using parfor

Convert a slowfor-loop into a fasterparfor-loop.

Improve parfor Performance

在内部或外部创建阵列parfor- 速度加快代码。

Run Code on Parallel Pools

了解开始和停止并行池，池大小和群集选择。

Specify Your Parallel Preferences

Specify your preferences, and automatically create a parallel pool.

Use Objects and Handles in parfor-Loops

Discover how to use objects, handles, and sliced variables inparfor-loops.

Ensure Transparency in parfor-Loops or spmd Statements

All references to variables inparfor-loops must be visible in the body of the program.

扩展到群集和云的循环循环

Developparfor-loops on your desktop, and scale up to a cluster without changing your code.

使用parfor-Loops减少一个ssignments

You can useparfor- 计算每次迭代更新的累积值。

在ParfoS循环中重复随机数

Control random number generation inparfor-loops by assigning a particular substream for each iteration.

使用parcom来加速Monte-Carlo代码

This example shows how to useparfor-loops to speed up Monte-Carlo code.

深度学习

Use parfor to Train Multiple Deep Learning Networks(Deep Learning Toolbox)

This example shows how to use aparforloop to perform a parameter sweep on a training option.

Featured Examples

Plot During Parameter Sweep with parfor

Perform a parameter sweep in parallel and plot progress during parallel computations. You can use a DataQueue to monitor results during computations on a parallel pool. You can also use a DataQueue with parallel language features such as parfor, parfeval and spmd.

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