19%
05.11.2018
# for your environment.
05 #
06 #
07 # slurm.conf file generated by configurator.html.
08 #
09 # See the slurm.conf man page for more information.
10 #
11 ClusterName=compute-cluster
12 Control
19%
13.12.2018
.conf file generated by configurator.html.
08 #
09 # See the slurm.conf man page for more information.
10 #
11 ClusterName=compute-cluster
12 ControlMachine=slurm-ctrl
13 #
14 SlurmUser=slurm
15 Slurmctld
19%
29.09.2020
between failure and SMART values. The disks were a combination of consumer-grade drives (SATA and PATA) with speeds from 5,400 to 7,200rpm and capacities ranging from 80 to 400GB. Several drive
19%
14.08.2020
and SMART values. The disks were a combination of consumer-grade drives (SATA and PATA) with speeds from 5,400 to 7,200rpm and capacities ranging from 80 to 400GB. Several drive manufacturers were represented
19%
05.09.2011
STAT
03 0 open-nebula-wn 0 100 99 100 1068948 921356 on
04 1 open-nebula-wn2 0 100 12 100 1173072 1027776 on
OpenNebula Configuration File
You
19%
20.10.2013
. The output for the Samsung SSD is:
[root@home4 ~]# smartctl -i /dev/sdb
smartctl 5.43 2012-06-30 r3573 [x86_64-linux-2.6.32-358.18.1.el6.x86_64] (local build)
Copyright (C) 2002-12 by Bruce Allen, http
19%
09.01.2013
.
Listing 1
Samsung SSD Inquiry
[root@home4 ~]# smartctl -i /dev/sdb
smartctl 5.43 2012-06-30 r3573 [x86_64-linux-2.6.32-358.18.1.el6.x86_64] (local build)
Copyright (C) 2002-12 by Bruce Allen, http
18%
14.03.2013
:"Brown-white", Members:15000, Address:[{Street:"Heiligengeistfeld 1", Zip: 20359, City: "Hamburg"}] })
08 > db.clubs.save({ Name:"FC Nürnberg", Colors:"Red-White", Address:[{Street:"Valznerweiherstrasse 200", Zip
18%
14.08.2017
storage is handled by the almost venerable ext3. The use of BusyBox [11] for most executable programs and of Dropbear [12] as the SSH daemon is the logical consequence of the Buildroot underpinnings
18%
02.02.2021
.sin(periods * 2 * np.pi * t)
12 return max(value, 0.0)
13 else:
14 value = np.sin(periods * 2 * np.pi * t)
15 return max(value, 0.0)
16
17 # building the data vector
18 my_data = []
19 i = 0
20 while