Perform MATLAB and Simulink computations on clusters, clouds, and grids

Run computationally intensive MATLAB programs and Simulink models on computer clusters, clouds, and grids. You develop your program or model on a multicore desktop computer using Parallel Computing Toolbox and then scale up to many computers by running it on MATLAB Distributed Computing Server. The server supports batch jobs, parallel computations, and distributed large data. The server includes a built-in cluster job scheduler and provides support for commonly used third-party schedulers.

MATLAB Distributed Computing Server provides licenses for all MathWorks toolboxes and blocksets, so you can run your MATLAB programs on a cluster without having to separately acquire additional product-specific licenses for each computer in the cluster.

See the list of products ineligible for use with MATLAB Distributed Computing Server.

MATLAB Distributed Computing Server for Amazon EC2 - Early Adopter Program

Perform parallel computations on multicore computers, GPUs, and computer clusters

Solve computationally and data-intensive problems using multicore processors, GPUs, and computer clusters. High-level constructs—parallel for-loops, special array types, and parallelized numerical algorithms—let you parallelize MATLAB applications without CUDA or MPI programming. You can use the toolbox with Simulink to run multiple simulations of a model in parallel.

The toolbox provides twelve workers (MATLAB computational engines) to execute applications locally on a multicore desktop. Without changing the code, you can run the same application on a computer cluster or a grid computing service (using MATLAB Distributed Computing Server). You can run parallel applications interactively or in batch.

Built-in Parallel Computing Support in MathWorks Products

MATLAB Distributed Computing Server for Amazon EC2 - Early Adopter Program