16%
06.05.2024
module with an Intel N100, 8GB of low-power double data rate (LPDDR) memory, up to 64GB of eMMC flash storage, up to nine PCIe 3.0 lanes, up to four USB 3.2 ports, eight USB 2.0 ports, 64 GPIO pins
16%
05.12.2019
, 4, 5 }, // row 0 initialized to 1, 2, 3, 4, 5
{ 6, 7, 8, 9, 10 }, // row 1 initialized to 6, 7, 8, 9 ...
}; // rows 2 onwards initialized to zeros
**
int
16%
16.05.2013
=====================================================================================
Install 14 Package(s)
Total download size: 21 M
Installed size: 81 M
Is this ok [y/N]: y
...
Installed:
octave.x86_64 6:3.4.3-1.el6
Dependency Installed:
GraphicsMagick.x86_64 0:1.3.17-1.el6
16%
01.06.2024
PI
resulting in a brief burst of computation on cores 0, 1, and 6 (Figure 4) and an approximation of pi (purely out of randomness and geometry) to 3.139, computed in just half a second (Figure 5). Executing
16%
18.03.2020
.8.2 and Python 3.7. HPCCM version 20.2.0 was installed (the latest as of the writing of this article).
HPCCM was discussed in a previous HPC article. The tool, written in Python, is very easy to use and allows
16%
10.04.2015
.1.2.1.2.2.1.19
# ifOutErrors
snmpwalk -v1 -Oqs -c $ROCOMMUNITY $HOST .1.3.6.1.2.1.2.2.1.20
}
# Directory for logfiles
LOGDIR="/home/falko/monitorlog"
# community string
ROCOMMUNITY="community"
# date
YEAR=$( date
16%
09.10.2023
bytes
Disklabel type: gpt
Disk identifier: DD46F2B6-9DDE-4810-AA43-905AB60C656D
Device Start End Sectors Size Type
/dev/nvme0n1p1 2048 1050623 1048576 512M EFI System
/dev
16%
11.04.2016
-fastcgi are running, as expected.
Listing 1
Process List
root 589 0.0 0.3 142492 3092 ? Ss 20:35 0:00 nginx: master process
/usr/sbin/nginx -g daemon on; master_process on;
www
16%
18.07.2013
mdma1 mdma2 udma0 udma1 udma2 udma3 udma4 udma5 *udma6
32 Cycle time: min=120ns recommended=120ns
33 PIO: pio0 pio1 pio2 pio3 pio4
34 Cycle time: no flow control=120
16%
29.09.2020
is still at an experimental stage in version 1.0.6; therefore, the developer advises against using it on production systems.
External USB media or SSDs connected over USB 3.0 are best suited for quick
