25%
20.05.2014
Viewing Server Topology
01 # numactl --hardware
available: 8 nodes (0-7)
node 0 cpus: 0 1 2 3 4 5 6 7 8 9
node 0 size: 16373 MB
node 0 free: 15837 MB
node 1 cpus: 10 11 12 13 14 15 16 17 18 19
node 1
25%
07.10.2014
.0 MB 2014-03-01 10:15 36467d 1
04 three.img 0 4.0 MB 0.0 MB 0.0 MB 2014-03-01 10:16 4e5a1c 3
05 two.img 0 4.0 MB 0.0 MB 0.0 MB 2014-03-01 10:15 a27d79 2
06 quark
25%
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
25%
16.03.2021
, ioengine=libaio, iodepth=32
fio-3.12
Starting 1 process
Jobs: 1 (f=1)
test: (groupid=0, jobs=1): err= 0: pid=5872: Sat Jan 9 16:35:08 2021
read: IOPS=251k, BW=979MiB/s (1026MB/s)(2045MiB/2089msec
24%
23.03.2022
-x 17 laytonjb laytonjb 4096 Nov 20 2020 OpenBLAS-0.3.10
31872561 -rw-rw-r-- 1 laytonjb laytonjb 12246979 Nov 20 2020 OpenBLAS-0.3.10.tar.gz
31872449 -rw-rw-r-- 1 laytonjb laytonjb 17163544 Nov
24%
04.08.2020
(minified by 25.99X)
from python:2.7-alpine - 84.3MB => 23.1MB (minified by 3.65X)
from python:2.7.15 - 916MB => 27.5MB (minified by 33.29X)
from centos:7 - 647MB => 23MB (minified by 28.57X)
from centos
24%
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
$44/EUR 30
24%
18.02.2018
public_key = "${file("${var.ssh_pub_key}")}"
07 }
08 resource "digitalocean_droplet" "mywebapp" {
09 image = "docker-16-04"
10 name: guest
11 region = "fra1"
12 size = "512mb"
13 ssh
24%
22.05.2012
================================================================================================================================================
Installing:
basesystem noarch 10.0-4.el6 sl 3.6 k
bash x86
24%
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
