Scaling up MATLAB and Simulink Applications with Clusters and Clouds

Using MathWorks parallel computing tools, you can accelerate computationally intensiveMATLABprograms and金宝appmodels by running them in large scale high-performance computing resources such as computer clusters and cloud computing services (e.g. Amazon EC2).

You useParallel Computing Toolboxto enable your MATLAB application to take advantage of desktop resources (multicore processors and GPUs) with only minor modifications to your code. To solve larger problems, you scale up usingMATLAB Parallel Serverrunning in a high-performance computing environment.

16:31
Cluster Computing for MATLAB Users
51:32
Listening to the World's Oceans: Searching for Marine Mammals by Detecting and Classifying Terabytes of Bioacoustic Data in Clouds of Noise

Choose Compute Resource and Licensing Option to Match Computing Needs

MathWorks parallel computing products help you harness a variety of high-performance computing resources for your computing requirements. You can use dedicated computing resources available through your organization’s cluster. Alternatively, using Amazon EC2 or other cloud services, you can get virtually instant access to the latest high-performance computers with minimum upfront and maintenance costs.

MATLAB Parallel Server provides several licensing options whether you perform computations on your organization’s computer cluster or on your cloud: perpetual and annual licensing options, as well as on-demand (hourly) licensing, are available.
Parallel Computing on the Cloud with MATLAB