17%
11.04.2016
B/s ( 2.2 Gbit/s)
128 KiB blocks: 2176.5 IO/s, 272.1 MiB/s ( 2.3 Gbit/s)
256 KiB blocks: 751.2 IO/s, 187.8 MiB/s ( 1.6 Gbit/s)
512 KiB blocks: 448.7 IO/s, 224.3 MiB/s ( 1.9 Gbit/s)
1 MiB blocks
17%
04.02.2014
The new PostgreSQL 9.3 release introduces several speed and usability improvements, as well as SQL standards compliance.
...
In version 9.3, the PostgreSQL community once again introduces several important new features in a major release. The work of many developers worldwide, this release went through a rigorous review ...
The new PostgreSQL 9.3 release introduces several speed and usability improvements, as well as SQL standards compliance.
... PostgreSQL 9.3
17%
09.01.2013
: ALTER TABLE is disabled
Event triggers currently can be implemented in PL/pgSQL or C. A CREATE EVENT TRIGGER command itself cannot trigger an event trigger.
Checksums
In PostgreSQL 9.3, database ... The new PostgreSQL 9.3 release introduces several speed and usability improvements, as well as SQL standards compliance. ... PostgreSQL 9.3 ... New in PostgreSQL 9.3
17%
07.10.2014
.0.0.0
-c
Clusterware to use
corosync, zookeeper:
-D
Use direct I/O on the back end
n/a
-g
Work as a gateway (server without back
17%
20.06.2012
:root
bin:x:1:root,bin,daemon
daemon:x:2:root,bin,daemon
sys:x:3:root,bin,adm
adm:x:4:root,adm,daemon
tty:x:5:
disk:x:6:root
lp:x:7:daemon,lp
mem:x:8:
kmem:x:9:
wheel:x:10:root
mail:x:12:mail
uucp:x:14
17%
07.10.2025
experimenting with the keyboard-integrated computer format so popular back in the age of Commodore's Amiga and C64 machines, launching the Pi 400 [3] and its recent upgrade, the Pi 500 [4], soon after the launch
17%
21.08.2012
with the compute node:
[root@test1 ~]# pbsnodes -a
n0001
state = free
np = 3
ntype = cluster
status = rectime=1343594239,varattr=,jobs=,state=free,netload=118255091,gres=,loadave=0.02,ncpus=3
17%
05.02.2023
wgossrvc
Listing 4
setup_goss.sh Diff Additions
5a6
> GOSSVFLE='/lib/systemd/system/goss.service'
9,10c10,12
< sha256sum
< tee
---
> sha256sum
> systemctl
> tee
81a84
17%
17.05.2017
, 5 ) / ( 8, 5 ) }
DATA {
(0,0): 0, 1, 2, 3, 4,
(1,0): 5, 6, 7, 8, 9,
(2,0): 10, 11, 12, 13, 14,
(3,0): 15, 16, 17, 18, 19,
(4,0): 20, 21, 22, 23, 24,
(5,0): 25, 26, 27, 28, 29,
(6
17%
03.12.2024
to check the version installed:
$ python3
>>> import tensorflow as tf
>>> print(tf.__version__)
It doesn’t make too much difference, but if you are curious, I used TensorFlow 2.9.2 and Keras 2.9
