在并行计算过程中并行进行参数扫描和绘图进度。您可以使用Dataqueue在平行池上的计算过程中监视结果。您还可以使用具有并行语言功能的数据类型，例如Parfor，Parfeval和SPMD。

Uses Parallel Computing Toolbox™ to perform a two-dimensional Fast Fourier Transform (FFT) on a GPU. The two-dimensional Fourier transform is used in optics to calculate far-field diffraction patterns. These diffraction patterns are observed when a monochromatic light source passes through a small aperture, such as in Young's double-slit experiment.

分布式阵列非常适合大型装置建立matical computations, such as large problems of linear algebra. This example shows how you can solve a system of linear equations of the form Ax=b in parallel with a direct method using distributed arrays. In the same way as for arrays stored in the client memory, you can use mldivide to solve can systems of linear equations defined using distributed arrays, so you do not need to change your code.

Develop your parallel MATLAB® code on your local machine and scale up to a cluster. Clusters provide more computational resources to speed up and distribute your computations. You can run your code interactively in parallel on your local machine, then on a cluster, without changing your code. When you are done prototyping your code on your local machine, you can offload your computations to the cluster using batch jobs. So, you can close MATLAB and retrieve the results later.

访问云中的大数据集，并使用MATLAB功能在云集群中处理大数据。

使用MATLAB自动支持进行并行训练培训卷积神经网络。金宝app深度学习训练通常需要数小时或数天。通过并行计算，您可以在本地或云中的集群中使用多个图形处理单元（GPU）加快训练。如果您可以访问具有多个GPU的计算机，则可以在数据的本地副本上完成此示例。如果您想使用更多的资源，则可以将深度学习培训扩展到云中。要了解有关并行培训的选择的更多信息，请参阅并行和云中的深度学习。此示例可以指导您使用MATLAB自动并行支持的步骤来训练云中的深度学习网络。金宝app