MATLAB Parallel Server
Perform MATLAB and Simulink computations on clusters and clouds
Prototype and debug applications on the desktop with Parallel Computing Toolbox™, and easily scale to clusters or clouds without recoding. Develop interactively and move to production with batch workflows.
Run on Multiple Machines Without Algorithm Changes
Develop a prototype on your desktop, and scale to a compute cluster without recoding. Access different execution environments from your desktop just by changing your cluster profile.
Access CPUs and GPUs on Centralized Resources
Take advantage of high-end hardware in your organization’s cluster without leaving the MATLAB desktop environment.
Automate Management of Multiple Simulink Simulations
Easily set up multiple runs and parameter sweeps, manage model dependencies and build folders, and transfer base workspace variables to cluster processes. Use the Simulation Manager user interface to visualize and manage multiple runs of Simulink models on a cluster.
Process Big Data from Windows, Mac, or Linux
Use the same MATLAB analytics on small or large volumes of data. From your Windows®, Mac®, or Linux® desktop, you can process big data on Spark™ enabled Hadoop® clusters or on traditional clusters with standard file systems.
Overcome Memory Barriers
Execute calculations that won’t fit in the memory of a single machine without needing to recode your algorithm or use a shared-memory architecture.
Use Your Desktop Toolboxes on the Cluster
MATLAB Parallel Server is the only license required on the cluster. Dynamic licensing enables each user’s specific desktop license profile on the cluster.
Use Your Existing Hardware and Infrastructure
Create a cluster from a few dedicated machines and manage jobs with MATLAB Job Scheduler, or integrate with your existing cluster and manage jobs with your third-party scheduler. Users can manage their jobs without leaving MATLAB.
Scale Applications to the Cloud
Integrate with public and private clouds. Access specialized and more powerful hardware in the cloud. Use preconfigured options from both MathWorks and MathWorks hosting providers, or build the infrastructure yourself.