Parallel and Cloud - MATLAB & Simulink (original) (raw)

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Scale up deep learning with multiple GPUs locally or in the cloud and train multiple networks interactively or in batch jobs

Train deep networks on multiple GPUs, clusters, and clouds, using Parallel Computing Toolbox™. Scale up deep learning with multiple GPUs locally or on clusters, and train multiple networks interactively or in batch jobs. To learn about options, seeScale Up Deep Learning in Parallel, on GPUs, and in the Cloud.

Topics

Parallel, GPU, and Cloud Fundamentals

• Scale Up Deep Learning in Parallel, on GPUs, and in the Cloud
  Explore options for deep learning with MATLAB® in parallel and using multiple GPUs, locally or in the cloud.
• Deep Learning with MATLAB on Multiple GPUs
  Speed up deep neural network training using multiple GPUs locally or in the cloud.
• Run Experiments in Parallel
  Run multiple simultaneous trials or one trial at a time on multiple workers. (Since R2020b)
• Deep Learning with Big Data
  Train deep neural networks using large amounts of data.
• Resolve GPU Memory Issues
  Troubleshoot errors when MATLAB cannot allocate the requested GPU memory.

Training in the Cloud

• Deep Learning in the Cloud
  Access MATLAB in the cloud for deep learning.
• Work with Deep Learning Data in the Cloud
  Example workflows for uploading data to the cloud.
  • Work with Deep Learning Data in AWS
  • Work with Deep Learning Data in Azure
  • Use Amazon S3 Buckets with MATLAB Deep Learning Container
• Cloud AI Workflow Using MathWorks Cloud Center
  Example workflows for training, importing data, and optimizing a deep neural network in the cloud using MathWorks Cloud Center.
  • Train Network on Amazon Web Services Using MathWorks Cloud Center
  • Use Experiment Manager in the Cloud with MathWorks Cloud Center
• Cloud AI Workflow Using the Deep Learning Container
  Example workflows for training, importing data, and optimizing a deep neural network in the cloud using the Deep Learning Container.
  • Train Network on Amazon Web Services Using MATLAB Deep Learning Container
  • Use Amazon S3 Buckets with MATLAB Deep Learning Container
  • Use Experiment Manager in the Cloud with MATLAB Deep Learning Container

Custom Training Loops

• Run Custom Training Loops on a GPU and in Parallel
  Speed up custom training loops by running on a GPU, in parallel using multiple GPUs, or on a cluster.
• 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.

Featured Examples