29%
14.08.2017
that I used the time command to time how long it took to run the command. The results were:
real 0m7.675s user 0m29.074s sys 0m1.002s
This looks to be pretty fast for compressing 358MB of data (on an SSD
29%
21.09.2012
In 2010, Oracle’s purchase of Sun Microsystems ended an era of technology leadership. Such acquisitions preserve intellectual property and some key individuals, but a large part of the personality
29%
17.06.2011
sprzblog mysql ↩
limesurvey -uroot -ppassword > ↩
backup.sql
will take 21 seconds to complete:
real 0m21.626s
user 0m0.000s
sys 0m0.000s
In the case of larger databases on non ... 2010
29%
11.02.2016
happens transparently for the user, who has no contact at all with the tools. Otto is released under Mozilla Public License Version 2.0, and development is an open process on GitHub [6].
Otto has one
29%
14.11.2013
seemingly focusing on the commercial Bacula Enterprise Edition, which is not publicly developed.
In 2010, long-standing Bacula developer Marco van Wieringen thus started to maintain enhancements and code
29%
10.06.2014
and cloud computing company.
After Sun published the source code of Solaris under the name OpenSolaris in 2005 and then Oracle discontinued open development of the software soon after its takeover in 2010
29%
01.08.2019
CREATED SIZE
nginx f09fe80eb0e7 12 days ago 109MB
nginx latest 35640fed495c 12 days ago 109MB
Backdoor Access
Considering how well Docker Scan handled
29%
20.06.2012
is to find out whether it runs on the master node when it is booted by using the chkconfig
command:
[root@test1 etc]# chkconfig --list
...
nfs 0:off 1:off 2:off 3:off 4:off 5:off 6
29%
17.10.2011
-On
The current 1.5 version of Proxmox VE from May 2010 [1] is based on the Debian 5.0 (Lenny) 64-bit version. The Proxmox VE kernel is a standard 64-bit kernel with Debian patches, OpenVZ patches for Debian
29%
08.06.2021
samples from a uniform distribution over [0,1). The equation is then solved by the solve
routine.
NumPy on GPUs
NumPy functions are all single threaded unless the underlying NumPy code is multithreaded
