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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
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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is via TuxCare Extended Lifecycle Support, which covers out-of-date Linux distributions, such as Ubuntu 16.04, CentOS 8 and 6, and Oracle 6.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
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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
16%
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
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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
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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
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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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02.06.2020
.
The Turing Pi clusterboard supports Raspberry Pi compute modules which are interconnected with a 1 Gbps network (although each node is limited to 100 Mbps USB speed) and can share RAM and storage between
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27.08.2014
. If you’re not running a kernel before 2.6.16, then these tools should be on your system. On my CentOS 6.5 system, I found them in an RPM named blktrace
. These are very powerful tools, but they can
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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
