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11.04.2016
Example
# iostat -xmt 1 /dev/sda
Linux 3.16.7-21-desktop (tweedleburg) 08/07/15 _x86_64_ (8 CPU)
08/07/15 17:25:13
avg-cpu: %user %nice %system %iowait %steal %idle
1
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02.06.2020
support all commands, so admins have to run the commands directly against the Cloud Controller API with the help of the widely used Curl [3].
To begin, you need to create a route, which names a URL
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30.01.2020
. An alternative to Docker is CRI-O [3], which now officially supports Kubernetes. To use it on Ubuntu 18.04, you need to run the commands in Listing 1. As a first step, you set several sysctl variables; the actual
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02.02.2021
01 // ---- previously --------
02 class Address
03 {
04 public string $name;
05 public DateTimeImmutable $birthday;
06
07 public function __construct(string $n, DateTimeImmutable $g)
08 {
09
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13.04.2023
of packages in the file req.txt
in the home directory of the anaconda
user that can be used to create the shared_env
environment:
$ /opt/apps/anaconda3/bin/conda create -n shared_env --file ./req
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28.11.2021
of this type could look like.
Listing 3
Generating Certificates
$ ssh-keygen -s ca_root_key -h -n server.example.com,172.16.155.130 -I server.example.com -V +180d server.example.com
$ ssh
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17.02.2015
translates into a huge address that it is undoubtedly out of the process address space. The following line computes this address using the GNU Project debugger (gdb):
(gdb) printf "0x%x\n",(j-i)+&vacf
0xd
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27.09.2024
query large amounts of data on distributed systems. CouchDB has been an Apache project since 2008. Version 1.0 in 2010 has evolved into version 3.3 today.
"Couch" was originally an acronym for "cluster
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19.11.2019
, ioengine=libaio, iodepth=32
fio-3.1
Starting 1 process
Jobs: 1 (f=1): [w(1)][100.0%][r=0KiB/s,w=1401KiB/s][r=0,w=350 IOPS][eta 00m:00s]
test: (groupid=0, jobs=1): err= 0: pid=3104: Sat Oct 12 14:39:08 2019
write: IOPS=352
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16.05.2013
,1000);
06
07 // Set host data on the Device (GPU)
08 dA = gpuSetData(A);
09 dC = gpuSetData(C);
10
11 d1 = gpuMult(A,B);
12 d2 = gpuMult(dA,dC);
13 d3 = gpuMult(d1,d2);
14 result = gpuGetData(d3); // Get
