Parallel Computing Toolbox

Scaling Up to Clusters, Grids, and Clouds Using MATLAB Distributed Computing Server

Parallel Computing Toolbox provides the ability to run MATLAB workers locally on your multicore desktop to execute your parallel applications allowing you to fully use the computational power of your desktop. Using the toolbox in conjunction with MATLAB Distributed Computing Server, you can run your applications on large scale computing resources such as computer clusters or grid and cloud computing resources

Running a gene regulation model on a cluster using MATLAB Distributed Computing Server. The server enables applications developed using Parallel Computing Toolbox to harness computer clusters for large problems. Compiled parallel MATLAB applications can also use the server.

Running a gene regulation model on a cluster using MATLAB Distributed Computing Server. The server enables applications developed using Parallel Computing Toolbox to harness computer clusters for large problems.

Listening to the World's Oceans: Searching for Marine Mammals by Detecting and Classifying Terabytes of Bioacoustic Data in Clouds of Noise 51:32
This session describes how Cornell University Bioacoustics Research Program data scientists use MATLAB® to develop high-performance computing software to process and analyze terabytes of acoustic data.

Next: Large Data Applications

Try Parallel Computing Toolbox

Get trial software

Machine Learning with MATLAB

View webinar