Overcoming Memory Limitations with Distributed Arrays

Work with data that exceeds single machine memory using distributed arrays and overloaded functions across multiple machines.

Parallel Computing Toolbox™ supports distributed arrays to partition large arrays across multiple MATLAB^® workers. Simultaneous execution is supported by the single program multiple data (spmd) language construct to facilitate communication between workers. You can use distributed arrays in Parallel Computing Toolbox to run big data applications using the combined memory of your cluster.

Prior to R2019a, MATLAB Parallel Server was called MATLAB Distributed Computing Server.

Learn more about Parallel Computing Toolbox