MATLAB DISTRIBUTED COMPUTING SERVER 4 - SYSTEM ADMINISTRATORS GUIDE Instrukcja Użytkownika Pobierz pdf (Strona 15)

Toolbox a nd Server Components

scheduler, PBS Pro scheduler, TORQUE schedu ler, m p iexec, or a generic

scheduler.

Choosing Between a Scheduler and MJS

You should consider the following when deciding to use a scheduler or the

MJS for distributing your tasks:

• Does your cluster already have a scheduler?

If you already have a scheduler, you may be required to use it as a means

of controlling access to the cluster. Your ex isting scheduler might be

justaseasytouseasanMJS,sotheremightbenoneedfortheextra

administration involved.

• Is the handling of parallel computing jobs the only cluster scheduling

management you need?

The MJS is designed specifically for MathW orks parallel computing

applications. If other scheduling tasks are not needed, a third-party

scheduler might not offer any advantages.

• Is there a file sharing configuration on your cluster already?

The MJS can handle all file and data sharing necessary for your parallel

computing applications. T his might be helpful in configurations whe re

shared access is limited.

• Are you interested in batch or interactive processing?

When you use an M JS, worker processes usually remain running at all

times, dedicated to their MJS. With a third-party scheduler, workers are

run as applications that are started for the evaluation of tasks, a nd stopped

when their tasks are complete. If tasks are small or take l ittle time,

starting a worker for each one might involve too much overhead time.

• Are there security concerns?

Your scheduler may be configured to accommodate your particular security

requirements.

• How many nodes are on your cluster?

Ifyouhavealargecluster,youprobably already have a scheduler. Consult

your MathWorks representative if you have questions about cluster size

and the MJS.

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MATLAB DISTRIBUTED COMPUTING SERVER 4 - SYSTEM ADMINISTRATORS GUIDE Instrukcja Użytkownika Strona 15