Difference between revisions of "HPCEnvironment"

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<td style="border:1px solid black;"> >10: <strong>0</strong><br />3-10: <strong>100</strong><br />0-3: <strong>0</strong> </td>
<td style="border:1px solid black;"> No warranty </td>
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<td style="border:1px solid black;"> N </td>
<td style="border:1px solid black;"> 14 </td>
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<td style="border:1px solid black;"> No warranty </td>
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<td style="border:1px solid black;"> N </td>
<td style="border:1px solid black;"> 14 </td>
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<td style="border:1px solid black;"> >10: <strong>0</strong><br />3-10: <strong>0</strong><br />0-3: <strong>100</strong> </td>
<td style="border:1px solid black;"> Under warranty </td>
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<td style="border:1px solid black;"> Y </td>
<td style="border:1px solid black;"> Boats </td>
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Revision as of 17:26, 28 January 2019

Research computing environment overview

HPC Environmer Overview
Category Sub-category Genersl
Access
Node Age [1]
(years: %)
Warranty (Y/N) [1] DMS-only
Access
Node Age [1]
(years: %)
Warranty (Y/N) [1} Private
Access
Node Age [1]
(years: %)
Warranty (Y/N) [1] Notes
CPU
Nodes 240 >10: 7
3-10: 90
0-3: 3
N
N
Y
31 >10: 0
3-10: 100
0-3: 0
N 21 >10: 0
3-10: 34
0-3: 76
N
N
Y
About 1000 Kong cores are permanently out of service due-hardware failure
Cores 1,896 380 168
RAM, TB 10.5 3.6 4.7
CPU with GPU
Nodes 2 >10: 0
3-10: 100
0-3: 0
N 2 >10: 0
3-10: 100
0-3: 0
N 8 >10: 0
3-10: 0
0-3: 100
Y
GPU Cores 9,984 72,320 72,320 Motes
CPU Cores 40 204 204 GPU nodes are often used for CPU SMP jobs due to the large number of cores on the node
RAM, TB 0.25 2.7 3.8 Coats
Node interconnect 13 of 10Gb/sec, 12 of 56 Gb/sec, remainder 1Gb/sec 40 Gb/sec 100 Gb/sec Groats
Parallel file system None None None Traditionally used for temporary files, PFS are now used for all kinds of storage. Researcher request s for storage are routinely 10 to 20TB, compared to 50 to 100GB two to three years ago

[1] = Applies also to Cores and RAM

High-speed node interconnect and parallel file system

Roles of inetrnal network and PFS

HPC cluster storage

Storage accessible to HPC clusters