15%
25.03.2020
8 2 488383488 sda2
12 8 16 6836191232 sdb
13 8 64 6836191232 sde
14 8 80 39078144 sdf
15 8 48 6836191232 sdd
16 8 32 6836191232 sdc
17 11
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
17,49
18,50
19,51
20,52
21,53
22,54
23,55
24,56
25,57
26,58
27,59
28,60
29,61
30,62
31,63
The lstopo tool
15%
05.08.2024
, as in Python [3] or Node [4].
Recent books have been published about writing shell commands in Rust [5], Python [6], Node.js [7], and even Go [8], and it is into this last language's interesting performance
15%
14.09.2021
$(find /sys/devices/system/cpu -regex ".*cpu[0-9]+/topology/thread_siblings_list") | sort -n | uniq
0,32
1,33
2,34
3,35
4,36
5,37
6,38
7,39
8,40
9,41
10,42
11,43
12,44
13,45
14,46
15,47
16,48
17,49
18,50
19,51
20,52
21,53
22,54
23,55
24,56
25
15%
12.05.2020
ago /bin/sh -c set -xe && echo '#!/bin/sh' > /... 745B
6 months ago /bin/sh -c [ -z "$(apt-get indextargets)" ] 987kB
6 months ago /bin/sh -c #(nop) ADD file:a48a5dc1b9dbfc632... 63.2MB
By using the docker
15%
11.04.2016
KiB blocks: 79.2 IO/s, 1.2 MiB/s ( 10.4 Mbit/s)
32 KiB blocks: 81.8 IO/s, 2.6 MiB/s ( 21.4 Mbit/s)
64 KiB blocks: 78.0 IO/s, 4.9 MiB/s ( 40.9 Mbit/s)
128 KiB blocks: 76.0 IO/s, 9
15%
04.11.2011
Recent trends in computing are toward more cores doing more tasks at once. These days, you are likely to have a dual- or quad-core CPU in your laptop, and perhaps 4, 6, 12, or 16 cores in your
15%
07.06.2019
_web latest c100b674c0b5 13 months ago 19MB
nginx alpine bf85f2b6bf52 13 months ago 15.5MB
With the image ID in hand, you can inspect the image manifest:
docker inspect bf85f2b6bf52
15%
17.02.2015
5420 Octa
Quad ARM Cortex-A15 (32KB instruction/32KB data/2MB L2) @1.8GHz, Quad-core ARM Cortex-A7 (32KB/32KB/512KB) @1.3GHz
Mali T-628 MP6
3GB LPDDR3e RAM (14.9GBps memory
15%
11.02.2016
amount of available RAM: 117,080MB in this case.
Mem used
: Amount of RAM used by the applications: 48,810MB in this case.
Mem free
: Potentially free RAM: 68,270MB in this case.
Mem cached
: RAM