18%
30.11.2020
For a while, Linus Torvalds was concerned about the size of changes for the Linux 5.10 release. However, upon release of the rc6 candidate, that worry has subsided. To this point, Torvalds said
18%
07.09.2021
is via TuxCare Extended Lifecycle Support, which covers out-of-date Linux distributions, such as Ubuntu 16.04, CentOS 8 and 6, and Oracle 6.
This Extended Lifecycle support will cover updates, including
18%
18.10.2021
-V), and software updates such as QEMU 6.0, libvirt 7.6, PHP 8.0.8, Apache2 2.4.48, GCC 11.2.0, Python 3.9.4, Bind9 9.16.15, Open vSwitch 2.16.0, and OpenLDAP 2.5.6.
To download a copy of Ubuntu Server, head over
18%
06.06.2022
The Shadow Server Foundation recently reported that over 3.6 million MySQL servers are publicly exposed. This started with the research group began scanning for accessible MySQL instances over port
18%
07.08.2025
countries, with most respondents citing more than 10 years of coding experience.
Years of coding experience (all respondents):
1 to 5 years (13.9%)
6 to 10 years (21.1%)
11 to 15 years (15.6
18%
06.08.2013
* Displaying the link-layer information (MAC addresses, etc.)
* Configuring Quality of Service (QoS)
Management features cover both IPv4 and IPv6, and new features are implemented in a timely manner
18%
17.02.2015
.raystedman.net
* updates: mirror.thelinuxfix.com
No package http available.
Error: Nothing to do
[root@kickstart ~]# yum install httpd
Loaded plugins: fastestmirror
~...
Verifying : apr-util-1.5.2-6.el7.x86
18%
23.02.2012
in the situation where you want to run multiple jobs each with a different compiler/MPI combination.
For example, say I have a job using the GCC 4.6.2 compilers using Open MPI 1.5.2, then I have a job using GCC 4
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04.10.2018
]).
Figure 2: A vulnerable majority: Only a tiny number of sites surveyed in May 2018 (7.6%) support a 3,072-bit key exchange (image source: Qualys SSL Labs [2]).
On discovering the ROBOT exploit against
18%
16.05.2013
critical modules for HPC is probably sciGPGPU, which provides GPU computing capabilities. Using sciGPGPU within Scilab is relatively straightforward, but you need to know something about GPUs and CUDA [6
