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%
27.08.2014
record size, (2) sequential read testing with 1MB record size, and (3) random write and read (4KB). In running these tests, I wanted to see what block layer information ioprof revealed.
The system I
15%
01.08.2019
:jonathonf/python-3.6
$ apt-get update
$ apt-get install python3.6
In Figure 3 you can see that Python v3.6 adds about 23MB of files to your machine. Depending on how much time you've spent with Python, you might
15%
25.03.2021
=1): err= 0: pid=3619: Sat Jan 9 16:14:53 2021
read: IOPS=174k, BW=682MiB/s (715MB/s)(10.0GiB/15023msec)
[ ... ]
Run status group 0 (all jobs):
READ: bw=682MiB/s (715MB/s), 682MiB/s-682Mi
15%
25.03.2020
7 1 56008 loop1
06 7 2 56184 loop2
07 7 3 91264 loop3
08 259 0 244198584 nvme0n1
09 8 0 488386584 sda
10 8 1 1024 sda1
11
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%
21.01.2020
7 1 56008 loop1
06 7 2 56184 loop2
07 7 3 91264 loop3
08 259 0 244198584 nvme0n1
09 8 0 488386584 sda
10 8 1 1024 sda1
11
15%
14.08.2017
:31 FS_scan.csv
$ gzip -9 FS_scan.csv
$ ls -lsah FS_scan.csv.gz
268K -rw-r--r-- 1 laytonjb laytonjb 261K 2014-06-09 20:31 FS_scan.csv.gz
The original file is 3.2MB, but after using gzip with the -9
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
14%
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
