主要内容

Create and Manage Cloud Center Clusters

Create and manage cloud clusters

Create and manage cloud clusters. Before you create a cluster, see AWS Identity and Access Management (IAM).

Cluster Operations

Create and Discover Clusters

Create and discover cloud clusters.

View, Edit, Start, or Stop Clusters

Find detailed information about your clusters, change your cluster characteristics, or shut down clusters.

Configure AWS VPC for Cloud Center

Create VPC and subnets, and connect to MATLAB® Parallel Server™ running on Amazon® Web Services (AWS®).

Cluster Attributes

Manage Cluster Access

Manage cluster access manually or enable Auto-Manage Cluster Access to allow Cloud Center to manage your cluster’s inbound firewall rules on a cluster-by-cluster basis.

Choose Supported EC2 Instance Machine Types

Learn which instance types are supported.

Resize Clusters Automatically

How to allow cluster to resize automatically based on workload.

Cluster File System and Storage

How to access shared folders on your cluster.

Cluster Examples

Scale Up from Desktop to Cluster (Parallel Computing Toolbox)

Develop your parallel MATLAB® code on your local machine and scale up to a cluster.

Process Big Data in the Cloud (Parallel Computing Toolbox)

This example shows how to access a large data set in the cloud and process it in a cloud cluster using MATLAB® capabilities for big data.

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

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

Optimize CSI Feedback Autoencoder Training Using MATLAB Parallel Server and Experiment Manager (Communications Toolbox)

Accelerate determination of the optimal training hyperparameters for a channel state information (CSI) autoencoder by using a Cloud Center cluster and Experiment Manager. (Since R2024a)