17%
17.02.2015
://developer.nvidia.com/jetson-tk1
Odroid-XU3
Android 4.4, Linux
Samsung Exynos5422
Quad ARM Cortex-A15 @2.0GHz (32KB/32KB/2MB), Quad ARM Cortex-A7 @1.4GHz (32KB/32KB/512KB)
Mali-T628 MP6
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%
11.04.2016
-fastcgi are running, as expected.
Listing 1
Process List
root 589 0.0 0.3 142492 3092 ? Ss 20:35 0:00 nginx: master process
/usr/sbin/nginx -g daemon on; master_process on;
www
16%
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
16%
30.01.2020
tottime percall cumtime percall filename:lineno(function)
148/1 0.001 0.000 156.745 156.745 {built-in method builtins.exec}
1 149.964 149.964 156.745 156.745 md_002.py:3
16%
09.12.2019
-in method builtins.exec}
1 149.964 149.964 156.745 156.745 md_002.py:3()
12724903 3.878 0.000 3.878 0.000 {built-in method builtins.min}
1 2.649 2.649 2.727 2.727 md_002.py:10(init
16%
04.11.2011
.
Listing 1: Running Many Commands at Once
01 $ cat commands
02 date
03 hostname
04 echo foo | md5sum
05
06 $ cat commands | parallel
07 Thu Jul 8 10:37:20 EST 2010
08 desktop‑machine
09 d3b07384d113edec49
16%
30.11.2020
== 0:
08 data = { 'key1' : [10,10.1,10+11j],
09 'key2' : ('mpi4py' , 'python'),
10 'key3' : array([1, 2, 3]) }
11 else:
12 data = None
13 # end if
14
15 data = comm
16%
09.01.2013
-stack-AWSEBAutoScalingGroup-12BAR59E5FUDM:
policyName/awseb-e-mnpsy5bpzk-stack-
AWSEBAutoScalingScaleDownPolicy-KW4NGGQ0LULU
2013-05-08 20:07:48 INFO Created CloudWatch alarm named:
awseb-e-mnpsy5bpzk
16%
07.06.2019
this script, please let me know, preferably in Python
06 # hanscees@AT@hanscees.com
07 # modified from https://gist.github.com/cirocosta/17ea17be7ac11594cb0f290b0a3ac0d1x
08
09 set -o errexit
10
11 main() {
12
