Difference between revisions of "Usage statistics 2020"

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m (→‎Number of support requests*,**: grammar: in English there is no dot after the day => 15 May not 15. May)
 
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|-
 
|-
 
|Euler
 
|Euler
−
| style="text-align:right;" |  
+
| style="text-align:right;" | 67,670,319
 
|-
 
|-
 
|Leonhard Open
 
|Leonhard Open
−
| style="text-align:right;" |  
+
| style="text-align:right;" | 7,702,728
 
|}
 
|}
  
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|-
 
|-
 
| Euler
 
| Euler
−
| style="text-align:right;" |  
+
| style="text-align:right;" | 2,663
 
|-
 
|-
 
| Leonhard Open
 
| Leonhard Open
−
| style="text-align:right;" |
+
| style="text-align:right;" | 794
 +
|-
 +
| CLC Genomics Server
 +
| style="text-align:right;" | 13
 +
|-
 +
| Matlab Distributed Computing Server
 +
| style="text-align:right;" | 129
 
|}
 
|}
  
 
<span style="font-size:70%;"><font color="red">* </font>Only users that submitted at least one job were counted.</span><br />
 
<span style="font-size:70%;"><font color="red">* </font>Only users that submitted at least one job were counted.</span><br />
  
−
===Number of support requests<font color="red">*,**</font>===
+
===Number of support requests<font color="red">*</font>,<font color="red">**</font>===
  
 
{| class="wikitable" style="width: 33%;"
 
{| class="wikitable" style="width: 33%;"
Line 39: Line 45:
  
 
<span style="font-size:70%;"><font color="red">*</font>Tickets from the SIS top-level and from the SIS::Leonhard Med queue are not included, even if they were handled by the HPC group</span><br />
 
<span style="font-size:70%;"><font color="red">*</font>Tickets from the SIS top-level and from the SIS::Leonhard Med queue are not included, even if they were handled by the HPC group</span><br />
−
<span style="font-size:70%;"><font color="red">**</font>After the cyber attack from 15. May 2020, we temporarily stopped using the ticket system and got more than 1000 email requests between 15. May 2020 and 22. June 2020 that were not moved to the ticket system</span><br />
+
<span style="font-size:70%;"><font color="red">**</font>After the cyber attack of 15 May 2020, we temporarily stopped using the ticket system and got around 1000 email requests between 15 May 2020 and 22 June 2020 (39 days) that were not moved to the ticket system</span><br />
  
 
==Euler statistics==
 
==Euler statistics==
Line 46: Line 52:
 
!style="width:34%;" |Number of cores
 
!style="width:34%;" |Number of cores
 
!style="width:33%;" |Number of jobs
 
!style="width:33%;" |Number of jobs
−
!style="width:33%;" |Percentage of total CPU time in 2019
+
!style="width:33%;" |Percentage of total CPU time in 2020
 
|-
 
|-
 
|1
 
|1
−
| style="text-align:right;" |  
+
| style="text-align:right;" | 57,346,732
−
| style="text-align:right;" | %
+
| style="text-align:right;" | 19.18%
 
|-
 
|-
 
|2-3
 
|2-3
−
| style="text-align:right;" |  
+
| style="text-align:right;" | 3,054,034
−
| style="text-align:right;" | %
+
| style="text-align:right;" | 1.97%
 
|-
 
|-
 
|4-7
 
|4-7
−
| style="text-align:right;" |  
+
| style="text-align:right;" | 1,788,671
−
| style="text-align:right;" | %
+
| style="text-align:right;" | 3.30%
 
|-
 
|-
 
|8-15
 
|8-15
−
| style="text-align:right;" |  
+
| style="text-align:right;" | 3,690,006
−
| style="text-align:right;" | %
+
| style="text-align:right;" | 8.13%
 
|-
 
|-
 
|16-31
 
|16-31
−
| style="text-align:right;" |  
+
| style="text-align:right;" | 1,074,259
−
| style="text-align:right;" | %
+
| style="text-align:right;" | 14.53%
 
|-
 
|-
 
|32-63
 
|32-63
−
| style="text-align:right;" |  
+
| style="text-align:right;" | 477,044
−
| style="text-align:right;" | %
+
| style="text-align:right;" | 11.56%
 
|-
 
|-
 
|64-127
 
|64-127
−
| style="text-align:right;" |  
+
| style="text-align:right;" | 127,676
−
| style="text-align:right;" | %
+
| style="text-align:right;" | 11.50%
 
|-
 
|-
 
|128-255
 
|128-255
−
| style="text-align:right;" |  
+
| style="text-align:right;" | 92,514
−
| style="text-align:right;" | %
+
| style="text-align:right;" | 12.16%
 
|-
 
|-
 
|256-511
 
|256-511
−
| style="text-align:right;" |  
+
| style="text-align:right;" | 10,129
−
| style="text-align:right;" | %
+
| style="text-align:right;" | 8.17%
 
|-
 
|-
 
|512-1,023
 
|512-1,023
−
| style="text-align:right;" |  
+
| style="text-align:right;" | 8,862
−
| style="text-align:right;" | %
+
| style="text-align:right;" | 7.90%
 
|-
 
|-
 
| >=1,024
 
| >=1,024
−
| style="text-align:right;" |  
+
| style="text-align:right;" | 392
−
| style="text-align:right;" | %
+
| style="text-align:right;" | 1.60%
 
|-
 
|-
 
| style="font-weight: bold;" |Total
 
| style="font-weight: bold;" |Total
−
| style="text-align:right;font-weight: bold;" |  
+
| style="text-align:right;font-weight: bold;" | 67,670,319
−
| style="text-align:right;font-weight: bold;" | %
+
| style="text-align:right;font-weight: bold;" | 100.00%
 
|}
 
|}
  
 
===Distribution of jobs by CPU time used===
 
===Distribution of jobs by CPU time used===
−
<!--[[File:EulerStat2020.png]]-->
+
[[File:EulerStat2020.png]]
  
 
===Distribution of users by CPU time used===
 
===Distribution of users by CPU time used===
−
<!--[[File:EulerStat2020u.png]]-->
+
[[File:EulerStat2020u.png]]
  
 
{| class="wikitable" style="width: 50%;"
 
{| class="wikitable" style="width: 50%;"
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|-
 
|-
 
|0-1
 
|0-1
−
| style="text-align:right;" |  
+
| style="text-align:right;" | 269
−
| style="text-align:right;" | %
+
| style="text-align:right;" | 10.10%
 
|-
 
|-
 
|1-10
 
|1-10
−
| style="text-align:right;" |  
+
| style="text-align:right;" | 180
−
| style="text-align:right;" | %
+
| style="text-align:right;" | 6.76%
 
|-
 
|-
 
|10-100
 
|10-100
−
| style="text-align:right;" |  
+
| style="text-align:right;" | 268
−
| style="text-align:right;" | %
+
| style="text-align:right;" | 10.07%
 
|-
 
|-
 
|100-1,000
 
|100-1,000
−
| style="text-align:right;" |  
+
| style="text-align:right;" | 444
−
| style="text-align:right;" | %
+
| style="text-align:right;" | 16.67%
 
|-
 
|-
 
|1,000-10,000
 
|1,000-10,000
−
| style="text-align:right;" |  
+
| style="text-align:right;" | 589
−
| style="text-align:right;" | %
+
| style="text-align:right;" | 22.12%
 
|-
 
|-
 
|10,000-100,000
 
|10,000-100,000
−
| style="text-align:right;" |  
+
| style="text-align:right;" | 546
−
| style="text-align:right;" | %
+
| style="text-align:right;" | 20.50%
 
|-
 
|-
 
|100,000-1,000,000
 
|100,000-1,000,000
−
| style="text-align:right;" |  
+
| style="text-align:right;" | 299
−
| style="text-align:right;" | %
+
| style="text-align:right;" | 11.23%
 
|-
 
|-
 
|1,000,000-10,000,000
 
|1,000,000-10,000,000
−
| style="text-align:right;" |  
+
| style="text-align:right;" | 68
−
| style="text-align:right;" | %
+
| style="text-align:right;" | 2.55%
 
|}
 
|}
  
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|-
 
|-
 
|1
 
|1
−
| style="text-align:right;" |  
+
| style="text-align:right;" | 6,841,515
−
| style="text-align:right;" | %
+
| style="text-align:right;" | 34.43%
 
|-
 
|-
 
|2-3
 
|2-3
−
| style="text-align:right;" |  
+
| style="text-align:right;" | 91,412
−
| style="text-align:right;" | %
+
| style="text-align:right;" | 3.06%
 
|-
 
|-
 
|4-7
 
|4-7
−
| style="text-align:right;" |  
+
| style="text-align:right;" | 203,610
−
| style="text-align:right;" | %
+
| style="text-align:right;" | 9.26%
 
|-
 
|-
 
|8-15
 
|8-15
−
| style="text-align:right;" |  
+
| style="text-align:right;" | 425,156
−
| style="text-align:right;" | %
+
| style="text-align:right;" | 23.03%
 
|-
 
|-
 
|16-31
 
|16-31
−
| style="text-align:right;" |  
+
| style="text-align:right;" | 136,476
−
| style="text-align:right;" | %
+
| style="text-align:right;" | 27.17%
 
|-
 
|-
 
|32-63
 
|32-63
−
| style="text-align:right;" |  
+
| style="text-align:right;" | 4,334
−
| style="text-align:right;" | %
+
| style="text-align:right;" | 2.99%
 
|-
 
|-
 
|64-127
 
|64-127
−
| style="text-align:right;" |  
+
| style="text-align:right;" | 213
−
| style="text-align:right;" | %
+
| style="text-align:right;" | 0.04%
 
|-
 
|-
 
|128-255
 
|128-255
−
| style="text-align:right;" |  
+
| style="text-align:right;" | 12
−
| style="text-align:right;" | %
+
| style="text-align:right;" | 0.02%
 
|-
 
|-
 
|>=256
 
|>=256
−
| style="text-align:right;" |  
+
| style="text-align:right;" | 0
−
| style="text-align:right;" | %
+
| style="text-align:right;" | 0.00%
 
|-
 
|-
 
| style="font-weight: bold;" |Total
 
| style="font-weight: bold;" |Total
−
| style="text-align:right;font-weight: bold;" |  
+
| style="text-align:right;font-weight: bold;" | 7,702,728
−
| style="text-align:right;font-weight: bold;" | %
+
| style="text-align:right;font-weight: bold;" | 100.00%
 
|}
 
|}
  
 
===Distribution of jobs by CPU time used===
 
===Distribution of jobs by CPU time used===
−
<!--[[File:LeoOpenStat2020.png]]-->
+
[[File:LeoOpenStat2020.png]]
  
 
===Distribution of users by CPU time used===
 
===Distribution of users by CPU time used===
−
<!--[[File:LeoOpenStat2020u.png]]-->
+
[[File:LeoOpenStat2020u.png]]
  
 
{| class="wikitable" style="width: 50%;"
 
{| class="wikitable" style="width: 50%;"
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|-
 
|-
 
|0-1
 
|0-1
−
| style="text-align:right;" |  
+
| style="text-align:right;" | 56
−
| style="text-align:right;" | %
+
| style="text-align:right;" | 7.05%
 
|-
 
|-
 
|1-10
 
|1-10
−
| style="text-align:right;" |  
+
| style="text-align:right;" | 28
−
| style="text-align:right;" | %
+
| style="text-align:right;" | 3.53%
 
|-
 
|-
 
|10-100
 
|10-100
−
| style="text-align:right;" |  
+
| style="text-align:right;" | 120
−
| style="text-align:right;" | %
+
| style="text-align:right;" | 15.11%
 
|-
 
|-
 
|100-1,000
 
|100-1,000
−
| style="text-align:right;" |  
+
| style="text-align:right;" | 201
−
| style="text-align:right;" | %
+
| style="text-align:right;" | 25.32%
 
|-
 
|-
 
|1,000-10,000
 
|1,000-10,000
−
| style="text-align:right;" |  
+
| style="text-align:right;" | 217
−
| style="text-align:right;" | %
+
| style="text-align:right;" | 27.33%
 
|-
 
|-
 
|10,000-100,000
 
|10,000-100,000
−
| style="text-align:right;" |  
+
| style="text-align:right;" | 147
−
| style="text-align:right;" | %
+
| style="text-align:right;" | 18.51%
 
|-
 
|-
 
|>100,000
 
|>100,000
−
| style="text-align:right;" |  
+
| style="text-align:right;" | 25
−
| style="text-align:right;" | %
+
| style="text-align:right;" | 3.15%
 
|-
 
|-
 
|}
 
|}

Latest revision as of 14:15, 10 February 2021

General Statistics

Number of jobs

Cluster Number of processed jobs
Euler 67,670,319
Leonhard Open 7,702,728

Number of users*

Cluster Number of users
Euler 2,663
Leonhard Open 794
CLC Genomics Server 13
Matlab Distributed Computing Server 129

* Only users that submitted at least one job were counted.

Number of support requests*,**

Support channel Number of support requests
OTRS ticket system 3,682

*Tickets from the SIS top-level and from the SIS::Leonhard Med queue are not included, even if they were handled by the HPC group
**After the cyber attack of 15 May 2020, we temporarily stopped using the ticket system and got around 1000 email requests between 15 May 2020 and 22 June 2020 (39 days) that were not moved to the ticket system

Euler statistics

Distribution of jobs by size

Number of cores Number of jobs Percentage of total CPU time in 2020
1 57,346,732 19.18%
2-3 3,054,034 1.97%
4-7 1,788,671 3.30%
8-15 3,690,006 8.13%
16-31 1,074,259 14.53%
32-63 477,044 11.56%
64-127 127,676 11.50%
128-255 92,514 12.16%
256-511 10,129 8.17%
512-1,023 8,862 7.90%
>=1,024 392 1.60%
Total 67,670,319 100.00%

Distribution of jobs by CPU time used

EulerStat2020.png

Distribution of users by CPU time used

EulerStat2020u.png

CPU hours used Number of users Percentage of all users
0-1 269 10.10%
1-10 180 6.76%
10-100 268 10.07%
100-1,000 444 16.67%
1,000-10,000 589 22.12%
10,000-100,000 546 20.50%
100,000-1,000,000 299 11.23%
1,000,000-10,000,000 68 2.55%

Leonhard Open statistics

Distribution of jobs by size

Number of cores Number of jobs Percentage of total CPU time in 2020
1 6,841,515 34.43%
2-3 91,412 3.06%
4-7 203,610 9.26%
8-15 425,156 23.03%
16-31 136,476 27.17%
32-63 4,334 2.99%
64-127 213 0.04%
128-255 12 0.02%
>=256 0 0.00%
Total 7,702,728 100.00%

Distribution of jobs by CPU time used

LeoOpenStat2020.png

Distribution of users by CPU time used

LeoOpenStat2020u.png

CPU hours used Number of users Percentage of all users
0-1 56 7.05%
1-10 28 3.53%
10-100 120 15.11%
100-1,000 201 25.32%
1,000-10,000 217 27.33%
10,000-100,000 147 18.51%
>100,000 25 3.15%
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