MATLAB DISTRIBUTED COMPUTING SERVER 4 - SYSTEM ADMINISTRATORS GUIDE Betriebsanweisung PDF herunterladen (Seite 25)

Access Cloud Cluster from MATLAB

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With your cloud cluster profile set as your default, you can now run parallel computing

applications on the cloud with functions such as parpool (and therefore parfor and

spmd), batch, createJob, etc.

Create Job on Cloud Cluster Using Command-Line Access

Find Clusters on Cloud

As an alternative to downloading a profile and importing it through the Profile Manager,

you can use the fetchCloudClusters function to create cluster objects in MATLAB for

your own clusters on the cloud. A pop-up dialog box might require you to log in to your

MathWorks account when you execute this command. If you have more than one cluster

running on the cloud, fetchCloudClusters returns an array of cluster objects; if you

have only one cluster running, it returns just a single object:

c = fetchCloudClusters

MJSComputeCloud Cluster Information

===================================

Profile:

Modified: true

Host: ec2-107-21-71-51.compute-1.amazonaws.com

NumWorkers: 32

JobStorageLocation: Database on [email protected]

ClusterMatlabRoot: /mnt/matlab

OperatingSystem: unix

- Assigned Jobs

Number Pending: 0

Number Queued: 0

Number Running: 0

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MATLAB DISTRIBUTED COMPUTING SERVER 4 - SYSTEM ADMINISTRATORS GUIDE Betriebsanweisung Seite 25