Parallel Computing Fundamentals

Choose a parallel computing solution

Parallel computing can help you to solve big computing problems in different ways. MATLAB^®并行计算工具箱™提供了一个交互式编程环境，以帮助解决您的计算任务。如果您的代码运行得太慢，则可以对其进行介绍，对其进行矢量化并使用内置的MATLAB并行计算支持。万博1manbetx然后，您可以尝试通过使用parforon multiple MATLAB workers in a parallel pool. If you have big data, you can scale up using distributed arrays or数据存储. You can also execute a task without waiting for it to complete, usingparfeval，以便您可以继续执行其他任务。您可以使用不同类型的硬件来解决并行计算问题，包括台式计算机，GPU，簇和云。

Functions

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Key functions in Parallel Computing Toolbox

`parfor`	执行`for`-loop iterations in parallel on workers
`parfeval`	Run function on parallel pool worker
`gpuArray`	Array stored on GPU
`distributed`	Access elements of distributed arrays from client
`batch`	RunMATLABscript or function on worker
`parpool`	Create parallel pool on cluster
`ticBytes`	Start counting bytes transferred within parallel pool
`tocBytes`	Read how many bytes have been transferred since calling`ticBytes`

Topics

基础知识

Choose a Parallel Computing Solution
Discover the most important functionalities offered by MATLAB and Parallel Computing Toolbox to solve your parallel computing problem.
Run MATLAB Functions with Automatic Parallel Support
Take advantage of parallel computing resources without requiring any extra coding.
Interactively Run a Loop in Parallel Using parfor
Convert a slowfor-loop into a fasterparfor-loop.
Plot During Parameter Sweep with parfor
This example shows how to perform a parameter sweep in parallel and plot progress during parallel computations.
从桌面到群集扩展
This example shows how to develop your parallel MATLAB® code on your local machine and scale up to a cluster.
Run Batch Parallel Jobs
使用批处理从MATLAB会话中卸载工作，以在后台运行。
Process Big Data in the Cloud
此示例显示了如何在云中访问云中的大数据集并使用MATLAB功能在云群集中处理大数据。
Evaluate Functions in the Background Using parfeval
Break out of a loop early and collect results as they become available.
Run MATLAB Functions on a GPU
Hundreds of functions in MATLAB and other toolboxes run automatically on a GPU if you supply agpuArrayargument.
Train Network in the Cloud Using Automatic Parallel Support(Deep Learning Toolbox)
This example shows how to train a convolutional neural network using MATLAB automatic support for parallel training.

Learn More

What Is Parallel Computing?
Learn about MATLAB and Parallel Computing Toolbox.
Run Code on Parallel Pools
了解有关启动和停止并行池，池尺寸和群集选择的信息。
Choose Between Thread-Based and Process-Based Environments
使用并行计算工具箱，您可以在不同的并行环境（例如基于线程或基于过程的环境）中运行并行代码。
Run MATLAB Functions in Thread-Based Environment
检查支持您要万博1manbetx在后台运行的MATLAB功能。
Set Environment Variables on Workers
Copy system environment variables from the client to workers in a cluster.
Write Portable Parallel Code
Write parallel code that can use parallel resources if you have Parallel Computing Toolbox and that still runs if you do not have Parallel Computing Toolbox.

Related Information

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Featured Examples

说明GPU计算的三种方法：Mandelbrot集

如何用MATLAB®代码表示简单，众所周知的数学问题，即Mandelbrot集。然后，使用并行计算工具箱™此代码进行调整以通过三种方式使用GPU硬件：

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Use parfor to Speed Up Monte-Carlo Code

Useparfor-loops to speed up Monte-Carlo code.

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