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matlab parallel server documentation -凯发k8网页登录

perform matlab and simulink computations on clusters and clouds

matlab® parallel server™ lets you scale matlab programs and simulink® simulations to clusters and clouds. you can prototype your programs and simulations on the desktop and then run them on clusters and clouds without recoding. matlab parallel server supports batch jobs, interactive parallel computations, and distributed computations with large matrices.

all cluster-side licensing is handled by matlab parallel server. your desktop license profile is dynamically enabled on the cluster, so you do not need to supply matlab licenses for the cluster. the licensing model includes features to support unlimited scaling.

matlab parallel server runs your programs and simulations as scheduled applications on your cluster. you can use the matlab optimized scheduler provided with matlab parallel server or your own scheduler. a plugin framework enables direct communication with popular cluster scheduler submission clients.

get started

learn the basics of matlab parallel server

cluster configuration

set up nodes and start processes to support parallel computing according to scheduler type

matlab job scheduler cluster customization

customize optional settings for clusters that use a matlab job scheduler

running code on clusters and clouds

scale up and run computationally intensive code in your existing cluster

troubleshooting in matlab parallel server

resolve unexpected issues in matlab parallel server

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