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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
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27.09.2021
(20.04)
ami-000b3a073fc20e415
9.934
4.938
14.872
Fastest and Slowest
The slowest numbers were posted on RHEL 8 with nearly 70 seconds, to the consternation
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20.06.2012
: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,postfix
uucp:x:14:uucp
man:x:15:
games:x:20
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20.06.2022
_ADMIN=admin
10 - KEYCLOAK_ADMIN_PASSWORD=SOME_PASSWORD
11 - KC_DB=postgres
12 - KC_DB_URL=jdbc:postgresql://postgres:5432/keycloak
13 - KC_DB_USERNAME=postgres
14 - KC
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27.09.2021
[2] (section 3.2). Next, I built the Darshan utilities (darshan-util) with the command:
./configure CC=gcc --prefix=[binary location]
Because I'm running these tests on an Ubuntu 20.04 system, I had
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20.10.2016
writing code. Columns 1 to 5 could be used for statement labels such as the following:
...
SUM = 0.0
D0 100 I=1,10
SUM = SUM + REAL(I)
100 CONTINUE
...
Y = X1 + X2 + X3
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14.01.2016
, particularly in the case of 3D XPoint, because it is so close to release. In this case, performance has always been discussed in general terms:
1,000 times the performance of NAND flash
1,000 times
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03.12.2015
The performance of PM is always under discussion, particularly in the case of 3D XPoint, because it is so close to release. In this case, performance has always been discussed in general terms:
1,000 times
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04.11.2011
, with 8,000 watts, you can fit 26 servers in the 42U rack because you can’t exceed the power budget – even if the servers only run at 200W on average. Now, to address this, you could take the TDP down by 20
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26.01.2025
and developed ideas with Keras.
Keras and VGG16
Getting started with Keras is not difficult. Rather than use the MNIST [2] dataset of 60,000 grayscale images as an example, I'll use a VGG16 [3] model
