15%
02.08.2021
) 4096B-4096B, (T) 4096B-4096B, ioengine=libaio, iodepth=32
fio-3.16
Starting 1 process
test: (groupid=0, jobs=1): err= 0: pid=12936: Sat Jun 19 14:48:48 2021
write: IOPS=250k, BW=977MiB/s (1024MB/s)(500
15%
15.02.2012
2
0
0
0
0
0
2
256KB < < 512KB
2
2
2
3
2
2
2
3
512KB < < 1MB
3
2
2
15%
26.01.2012
2
0
0
0
0
0
2
256KB < < 512KB
2
2
2
3
2
2
2
3
512KB < < 1MB
3
2
2
15%
07.10.2014
.snap
s ntestvm1.img 5 8.0 GB 292 MB 2.4 GB 2014-03-01 11:42 982a3a 2 mar.snap
s ntestvm1.img 6 8.0 GB 128 MB 2.6 GB 2014-03-10 19:48 982a3b 2 mar2.snap
ntestvm1.img 0 8.0 GB
15%
28.03.2012
2 4 24 12 0 12 2 0 sda 0 0 0 0 0 0 0 0 0 0 0
20120310 13:39:20 sdb 0 0 0 1 3 17 12 0 27 8 1 sda 0 0 0 0 0 0 0 0 0 0 0
20120310 13:39:30 sdb 0 0 0 0 0 0 0 0 0 0 0 sda 0 0 0 0 0 0 0 0 0 0 0
20120310 13
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
, ioengine=libaio, iodepth=32
fio-3.12
Starting 1 process
Jobs: 1 (f=1)
test: (groupid=0, jobs=1): err= 0: pid=5956: Sat Jan 9 16:38:53 2021
read: IOPS=256k, BW=998MiB/s (1047MB/s)(2045MiB/2049msec
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%
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%
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
