15%
29.09.2020
-line operations.
To install Dockly [3], you can choose one of two routes: with npm (see the "Installation by npm" box for that route) and in a Docker container. For context, on my laptop, about 43MB of file space
15%
05.11.2013
, mainly because it is inside the world’s fastest supercomputer – the Tianhe-2; in fact, the 48,000 Xeon Phi cards built in to the Tianhe-2 help it deliver nearly twice the raw performance of the second
15%
03.04.2024
on machines with only one CPU core and 512MB of RAM; the minimalist K3s setup itself only uses 250MB. As one of the radical cost-cutting measures, K3s dispenses with the I/O-intensive etcd database
15%
17.02.2015
Xino-Lime
Linux
All-winner A10 processor
Single ARM Cortex-A8 @1GHz
Mali-400
512MB DDR3
SATA connector, 2 USB, Fast Ethernet, USB OTG, HDMI
1.9W
$44/EUR 30
15%
11.04.2016
(512 MB) copied, 49.1424 s, 10.4 MB/s
If you want to empty the read and write cache for benchmark purposes, you can do so using:
sync; echo 3 > /proc/sys/vm/drop_caches
Sequential access
15%
25.03.2021
.00 MiB 2144.34 MB)
Raid Devices : 3
Total Devices : 3
Persistence : Superblock is persistent
Update Time : Sat Jan 9 16:36:21 2021
State : clean, resyncing
15%
03.02.2022
,32
1,33
2,34
3,35
4,36
5,37
6,38
7,39
8,40
9,41
10,42
11,43
12,44
13,45
14,46
15,47
16,48
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29,61
30,62
31,63
The lstopo tool
15%
14.09.2021
$(find /sys/devices/system/cpu -regex ".*cpu[0-9]+/topology/thread_siblings_list") | sort -n | uniq
0,32
1,33
2,34
3,35
4,36
5,37
6,38
7,39
8,40
9,41
10,42
11,43
12,44
13,45
14,46
15,47
16,48
17,49
18,50
19,51
20,52
21,53
22,54
23,55
24,56
25
15%
12.05.2020
TAG IMAGE ID CREATED SIZE
nvidia/cuda 10.1-base-ubuntu18.04 3b55548ae91f 4 months ago 106MB
hello-world latest fce289e99eb9 16 months ago 1.84kB
Running the nvidia
15%
25.01.2022
to get into the Linux kernel. A couple of my earlier articles that mention FUSE address data encryption and working with S3QL object storage. As evident by these applications, FUSE can be very useful
