17%
01.06.2024
simulations.
sudo apt install openmpi-bin openmpi-common openmpi-doc libopenmpi-dev
The code as listed runs 1 million iterations, which I can launch over two Xeon Broadwell cores,
mpiexec -n 2 mpi
17%
25.09.2023
up a container machine running Monit. Listing 1 [2] creates the Ubuntu 22.04 LTS base image used to create further images for the test container machines. To generate the base image, go to your
17%
25.09.2023
for Internal Network
zing.bash -c 4 -op 2 -p 80,443 10.0.0.23
ZING:80/ 10.0.0.23 / Warning:
Error: on 80 is: Active. Continue.
Port: 80: op 1.1. 10.0.0.23 80 Time: 28 ms.
Port: 80: op 1.2. 10.0.0.23 80 Time
17%
05.12.2019
to send STDOUT to a file or you can use the notation
$this_value = `this_program 1>&2`;
to catch a program's STDOUT and STDERR. This example shows the backtick method, but you can also use the open
17%
14.03.2013
enable TLS 1.2 – given OpenSSL 1.0.1 and a recent 2.2 or 2.4 version of the Apache web server – using the SSLProtocol configuration option. Listing 1 provides a potential server configuration.
Listing ... NIST has chosen the Keccak algorithm as the new cryptographic hash standard but, in real life, many users are still waiting to move to its predecessor SHA-2.
17%
17.02.2015
use generic-service
21 host_name w2k12srv
22 service_description Memory Usage
23 check_command check_nt!MEMUSE!-w 80 -c 90
24 }
25 define service{
26
17%
07.10.2014
seq_timeout = 10
08 tcpflags = syn
09 command = /usr/sbin/iptables -A INPUT -s \
%IP% -p tcp --dport 22 -j ACCEPT
10
11 [closeSSH]
12 sequence = 9000
17%
22.05.2012
.x86_64 0:1.9-22.el6_2.1
libacl.x86_64 0:2.2.49-6.el6 libattr.x86_64 0:2.4.44-7.el6 libblkid.x86_64 0:2.17.2-12.4.el6
libcap.x86_64 0:2
17%
26.01.2025
this second 2D convolution layer, you have another batch normalization layer followed by a new layer type, MaxPooling2D:
model.add(layers.BatchNormalization())
model.add(layers.MaxPooling2D(pool_size=(2,2
17%
05.12.2014
(plyr)
06 library(ggplot2)
07
08 setwd("~/R/RFI")
09 rfi <- read.csv("rfi-extract-July2011.log",header=TRUE, sep=",")
10
11 ## read in data to frame
12 data <- data.table(rfi)
13 ct <- count
