hpc:hpc_tubit:clust_conf:partitions

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hpc:hpc_tubit:clust_conf:partitions [2019/05/10 16:35] – angelegt kraushpc:hpc_tubit:clust_conf:partitions [2019/07/23 16:19] (aktuell) – kraus
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 +====== Available computing partitions ======
  
 +<html> <span style="font-family:monospace;font-size:150%;color:red;font-weight:bold">Preliminary Remark: The SLURM scheduler obeys fair-share rules and applies scoring to each user account. Actually, depending on the amount of resources (wall clock and CPU time, main memory usage, generic resources) allocated by a user within the last seven days, the scheduler calculates the priority of the jobs being scheduled. </span> </html>
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 +  * <html> <span style="font-family:monospace;font-size:130%">smp (3 nodes):  3 TB DDR3/DDR4 main memory and 64 cores Intel Xeon E7-4850 v4 at 2.10GHz (AVX2); two nodes (smp002 and smp003) with 2 Nvidia Tesla P100 with 16 GB GPU memory <==</span> </html> 
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 +  * <html> <span style="font-family:monospace;font-size:130%">standard (159 nodes): 250GB DDR4 main memory and 20 cores Intel Xeon E5-2630 v4 at 2.20GHz (AVX2)</span> </html>
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 +  * <html> <span style="font-family:monospace;font-size:130%">gpu: (22 nodes): 500GB DDR4 main memory, 2 Nvidia Tesla P100 with 16 GB GPU memory and 20 cores Intel Xeon E5-2630 v4 at 2.20GHz (AVX2)</span> </html>
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 +<html> <span style="font-family:monospace;font-size:140%;color:black;font-weight:bold;font-style:italic">Remarks:</span> </html>
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 +<html> <span style="font-family:monospace;font-size:130%"> <span style="color:red;font-weight:bold">==> SMP nodes allow massive parallel intra-node shared memory calculations!!!<==</span><br/> <span style="color:blue;font-weight:bold">Alles Nodes have benn interconnected by Omni-Path switched fabric from Intel (based on Infiniband, but augmented by advanced QOS and package handling).</span> </span> </html> 
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 +<WRAP rightalign>
 +date of revision: 09-23-2019 © kraus
 +</WRAP>