17%
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
17%
16.03.2021
, (T) 4096B-4096B, 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
17%
17.02.2015
Galileo
Yocto Linux, VxWorks (RTOS), Windows
Intel Quark X1000
Single 32-bit Intel Pentium (x86) @400MHz
Integrated Intel GPU
256 MB DDR3, 512KB embedded SRAM, 8
16%
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
16%
07.06.2019
6d2feb5e84bad9184441170d4898
mariadb latest mariadb@sha256:12e32f8d1e8958cd076660bc22d19aa74f2da63f286e100fb58d41b740c57006 RepoId
mariadb latest b468922dbbd73bdc874c751778f1ec0ec10817691624976865cb3
16%
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
16%
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
16%
13.12.2022
/11/05 08:56:13 info unpack layer: sha256:1a930d163dcafa193dc2c3c005d9c220ae1c07a48cad5f7feed0066ada0b998f
2022/11/05 08:56:15 info unpack layer: sha256:d3ca234f568b088b991388a0e9e8b61b05ac8627522f10fe16df2b81d51c0748
16%
05.08.2024
; i < size; i++ {
10 for j := 0; j < size; j++ {
11 array[j][i]++
12 }
13 }
14
15 }
Running the same test produces the results in Figure 3 – there indeed
16%
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
