15%
10.06.2015
-from 1600x900
This command mirrors my laptop screen on the external display and scales the image from the native 1,600x900 resolution on my laptop to a native 1,900x1,200 resolution on the external display
15%
05.08.2024
spans 100 million elements, taking up 800MB of RAM – not at all an unusual size in any kind of numerical computing. This system is equipped with 8GB of RAM, so allocating the array itself is no trouble
15%
17.02.2015
(48KB instruction/32KB data/2MB L2 cache)
Quad-core 64-bit ARM Cortex-A53 (32KB/32KB/512KB)
Nvidia Maxwell GPU:
Two streaming multiprocessors (SMs)
16 texture units; 16 render output
15%
03.04.2024
on machines with only one CPU core and 512MB of RAM; the minimalist K3s setup itself only uses 250MB. As one of the radical cost-cutting measures, K3s dispenses with the I/O-intensive etcd database
15%
30.01.2020
Id: 4e90b424-95d9-4453-a2f4-8f5259f5f263 Duration: 70.72 ms Billed Duration: 100 ms Memory Size: 128 MB Max Memory Used: 55 MB Init Duration: 129.20 ms
More or Less
15%
07.06.2019
-engine
container's hash and using it to change the hash beginning ab48a
in the following command, which came directly from the Anchore GitHub page [5],
$ docker exec -t -i ab48a716916f curl -u admin: http
15%
17.01.2023
to NTP server (162.159.200.123) at stratum 4
time correct to within 21 ms
polling server every 64 s
Your output will not match this exactly, but you can see that it’s using an outside source to synchronize
15%
04.04.2023
the ntpstat utility on the head node and then running it:
$ sudo yum install ntpstat
$ ntpstat
synchronised to NTP server (162.159.200.123) at stratum 4
time correct to within 21 ms
polling server every
15%
07.06.2019
_web latest c100b674c0b5 13 months ago 19MB
nginx alpine bf85f2b6bf52 13 months ago 15.5MB
With the image ID in hand, you can inspect the image manifest:
docker inspect bf85f2b6bf52
15%
04.08.2011
to measure these speed hits on the HP system compared with the bare metal system. Installing a battery-buffered, 512MB write cache module vastly improved benchmark results that measured multiple, parallel read
