Clusters and Clouds
If your computing task is too big or too slow for your local computer, you can offload your calculation to a cluster onsite or in the cloud to run your MATLAB® code with minimal changes. Try Parallel > Discover Clusters in the MATLAB toolstrip to find out if you already have a cluster available.
If you already have a cluster with a scheduler, you can integrate MATLAB with it using MATLAB Parallel Server™. Alternatively, if you do not have an existing scheduler, then MATLAB Parallel Server provides MATLAB Job Scheduler.
Functions
Classes
Examples and How To
Cluster Setup
Discover Clusters and Use Cluster Profiles
Find out how to work with cluster profiles and discover cloud clusters running on Amazon EC2.
Scale Up from Desktop to Cluster
This example shows how to develop your parallel MATLAB® code on your local machine and scale up to a cluster.
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.
Benchmark Your Cluster with the HPC Challenge
This example shows how to evaluate the performance of a compute cluster with the HPC Challenge Benchmark.
Deep Learning
Scale Up Deep Learning in Parallel and in the Cloud (Deep Learning Toolbox)
Options for deep learning with MATLAB using multiple GPUs, locally or in the cloud.
Deep Learning with MATLAB on Multiple GPUs (Deep Learning Toolbox)
Specify multiple GPUs to use locally or in the cloud for training.
Train Network Using Automatic Multi-GPU Support
This example shows how to use multiple GPUs on your local machine for deep learning training using automatic parallel support.
Use parfor to Train Multiple Deep Learning Networks
This example shows how to use a parfor loop to perform a parameter sweep on a training option.
Use parfeval to Train Multiple Deep Learning Networks
This example shows how to use parfeval to perform a parameter sweep on the depth of the network architecture for a deep learning network and retrieve data during training.
Train Deep Learning Networks in Parallel
This example shows how to run multiple deep learning experiments on your local machine.
Train Network in Parallel with Custom Training Loop
This example shows how to set up a custom training loop to train a network in parallel.
Upload Deep Learning Data to the Cloud
This example shows how to upload data to an Amazon S3 bucket.
Send Deep Learning Batch Job to Cluster
This example shows how to send deep learning training batch jobs to a cluster so that you can continue working or close MATLAB during training.
Concepts
Specify Your Parallel Preferences
Specify your preferences, and automatically create a parallel pool.
Plugin Scripts for Generic Schedulers
How to use plugin scripts to set up generic schedulers.
Related Information
Deep Learning in Parallel and in the Cloud (Deep Learning Toolbox)
Get Started with MATLAB Parallel Server (MATLAB Parallel Server)
