cluster:103
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cluster:103 [2011/12/21 14:41] hmeij [Submit 2] |
cluster:103 [2011/12/21 15:31] hmeij [Best Practices] |
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| * -R reserves memory, for example, reserve 200 MB of memory on target compute node | * -R reserves memory, for example, reserve 200 MB of memory on target compute node | ||
| * scheduler creates unique dirs in scratch by JOBPID for you, so we'll stage the job there | * scheduler creates unique dirs in scratch by JOBPID for you, so we'll stage the job there | ||
| - | * but now we must copy relevant to scratch dir and results back to home dir | + | * but now we must copy relevant |
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| ==== Best Practices ==== | ==== Best Practices ==== | ||
| + | * You may submit as many SAS jobs as you like, just leave enough resources available for others to also get work done | ||
| + | * Because SAS submission are serial, non-parallel jobs your -n flag is always 1 | ||
| + | * Reserve resources if you know what you need, especially memory | ||
| + | * Use /sanscratch for large data jobs with heavy read/write operations | ||
| + | * Queue ehwfd is preferentially for Gaussian users and stay off the stata and matlab queues please | ||
| + | * Write smart SAS code, for example, use data set indexes and PROC SQL (this can be your best friend) | ||
| + | * ... suggestions will be added to this page | ||
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| **[[cluster: | **[[cluster: | ||
cluster/103.txt ยท Last modified: 2011/12/22 14:34 by hmeij
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