并行计算

在 CPU 和/或 GPU 上并行执行 MATLAB^® 程序和 Simulink^® 仿真

使用 MATLAB 的并行计算通过桌面、集群和云中的 CPU 和 GPU 提供帮助您利用更多硬件资源的语言及工具。

Workflow for Parallel computing from desktop to compute clusters

适用产品：并行计算

Perform parallel computations on multicore computers, GPUs, and computer clusters

Perform MATLAB and Simulink computations on clusters and clouds

Run MATLAB Functions with Automatic Parallel Support (Parallel Computing Toolbox)
Take advantage of parallel computing resources without requiring any extra coding.
Interactively Run Loops in Parallel Using parfor (Parallel Computing Toolbox)
Convert a for-loop into a scalable parfor-loop.
Plot During Parameter Sweep with parfor (Parallel Computing Toolbox)
Perform a parameter sweep in parallel and plot progress during parallel computations.

Running Multiple Simulations (Simulink)
Run multiple simulations from the parsim and batchsim commands, and the Multiple Simulations panel in Simulink Editor.

Run MATLAB Functions on a GPU (Parallel Computing Toolbox)
Supply a gpuArray argument to automatically run functions on a GPU.

Scale Up from Desktop to Cluster (Parallel Computing Toolbox)
Develop your parallel MATLAB® code on your local machine and scale up to a cluster.
Use Parallel Computing Toolbox with Cloud Center Cluster in MATLAB Online (Parallel Computing Toolbox)
Run parallel code in MATLAB Online™.

Scale Up Deep Learning in Parallel, on GPUs, and in the Cloud (Deep Learning Toolbox)
Explore options for deep learning with MATLAB in parallel and using multiple GPUs, locally or in the cloud.
Minimizing an Expensive Optimization Problem Using Parallel Computing Toolbox (Optimization Toolbox)
Example showing how to use parallel computing in both Global Optimization Toolbox and Optimization Toolbox™ solvers.