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Author Topic: Parallelization with multiple Academic licenses  (Read 6201 times)

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Offline DSarkar

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Parallelization with multiple Academic licenses
« on: March 21, 2016, 03:15 »
Hi,

I was wondering if it is possible to parallelize a job on multiple nodes with different Academic licenses installed on each node. If so, how may it be done? Also, my cluster nodes each have 2 processors with 8 cores each. While running the job, if I change the machine settings to Multiprocess, choose No. of processors=2, Enable threading, enable auto-threading, it would take longer than if I run on a single core.  How can I check the actual resources that I used? I appreciate your replies very much.

Regards,

Debarghya
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Offline Jess Wellendorff

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Re: Parallelization with multiple Academic licenses
« Reply #1 on: March 22, 2016, 15:52 »
No, this is not possible. The slave nodes must have have same license configuration as the master node does.
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Offline Anders Blom

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Re: Parallelization with multiple Academic licenses
« Reply #2 on: March 23, 2016, 04:14 »
Having such a license configuration would be highly unusual... If you have a trial license, it's valid on any machine (so, it's not "different" on the different nodes).
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Offline DSarkar

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Re: Parallelization with multiple Academic licenses
« Reply #3 on: March 23, 2016, 07:26 »
Okay thanks for the clarification.
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