Create and Manage Cloud Center Clusters
Create and manage cloud clusters, and customize an Amazon® Machine Image (AMI). Before you create a cluster, see AWS Identity and Access Management (IAM).
Cluster Operations
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 the Amazon EC2® cloud.
Global Cluster Access and Security Groups
How to access your cluster and limit access for security reasons.
Cluster Attributes
Specify a cluster's Shared State to be either Personal or Shareable.
Manage Cluster Access Automatically
Auto-Manage Cluster Access allows Cloud Center to manage a cluster’s inbound firewall rules on a cluster-by-cluster basis.
Choose Supported EC2 Instance Machine Types
Learn which instance types are supported.
Use a Dedicated Headnode Instance for Management Services
How to use a dedicated machine for management services.
How to allow cluster to resize automatically based on workload.
Cluster File System and Storage
How to access shared folders on your cluster.
Create a Custom Amazon Machine Image (AMI)
How to use an AMI to install drivers, libraries, or other utilities.
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)
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