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2016 report: Scientific Computing Service occupancy record

November 8th, 2017

2016 Report

We close 2016 with an  occupancy record of 92% in the Arina cluster of the IZO-SGI Scientific Computing Service. This occupation shows an excellent usage of the resources and inversions. The counterpart has been a slight increase in queue time, although we hope that this will be reduced in 2017 after the two increases in computing resources installed at the end of 2016 and mid-2017. On the other hand, it is also worth highlighting the increase in the number of publications which thanks to the Service.

The table at the end of this article contains the most relevant figures for the Service. Full details can be found in the Service’s memory at the following link (in spanish):

2016 Scientific Computing Service report (pdf)

Year use 2016

Aknowledgements

We would like to thank the researchers for their trust in the Service, since the good numbers of the Service have been their achievements.

The Scientific Computing Service in figures

The following table summarizes the most significant data of the Scientific Computing Service in the last years.

2012 2013 2014 2015 2016
Computing cores 1.520 1.4 1.300¹ 1.852 2.272²
Used millions of computing hours 11,3 10,4 10,1 14,0 15,2
Active researchers 89 99 107 104 116
Activos groups 40 47 45 42 38
New accounts 20 34 23 43 43
Researcher’s satisfaction³ 9,3 9,3 9,6 9,5 9.5
Scientific articles⁴ 74 87 75 85 94
Web visits 9.899 5.924 2.34 2.902 5.152
Page views 30.738 20.323 12.057 10.799 12.887
Posts in the HPC blog 27 47 36 30 11
Page views of the HPC blog 4.741 24.613 23.677 20.67 18.554
Arina
Computing cores 1.360 1.32 1.3 1.892 2.172²
Used millions of computing hours 9,6 9,8 10,1 14,0 15,2
Average occupation 79 % 83 % 87 % 86 % 92 %
Sent jobs 98.383 100.214 76.912 115.681 115.172
Jobs larger than 2 minutos⁵ 78.846 75.406 64.335 100.131 98.472
Average hours per job⁶ 122 130 156 140 132
Waiting time per job ⁷ 5,2 5,5 10,0 14 15,1
Péndulo
Computing cores 80 80 70
Used millions of computing hours 0,07 0,04 6
Ikerbasque
Computing cores 208 208
Used millions of computing hours 1,6 0,55

¹ At the end of 2014 the numbers of cores increased up to 1850.
² In September the number of cores increased up to 2016.
³ Service User Satisfaction Survey.
With thanks to IZO-SGI.
Jobs of less than 2 minutes are usually due to unsuccessful runs that end immediately with an error. In any case, even if this is not the case, given their short duration, they do not affect the cluster.
Jobs of less than two minutes has not been taken into account.
Jobs are executed through a queue system that assigns to each job the resources that have been requested and orders its execution to optimize the use of the cluster. Queue time is the time that jobs are waiting until the resources they need are released.
The machine was shut down in April 2013.

 

 

General, IZO-SGI

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