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14.08.2017
[...]
10 ln -nfs _build/main.native mir-console
11 $
12 $ file _build/main.native
13 _build/main.native: ELF 64-bit LSB executable, x86-64, version 1 (SYSV), dynamically linked (uses shared libs), for GNU
17%
06.10.2022
, which is passed by the caller in CPU register rax
on x86-64 machines [8]. Syscall arguments are passed in registers rdi
, rsi
, rdx
, r10
, r8
, and r9
. The return value of the syscall is returned
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04.08.2020
# Names of all persons:
11 gremlin> g.V().hasLabel('person').values('name')
12 ==>marko
13 ==>vadas
14 ==>josh
15 ==>peter
16
17 # Name of person with ID 1
18 gremlin> g.V(1).values('name')
19 ==>marko
20
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11.10.2016
and runs in a Java virtual machine, Riemann has a web interface (the Riemann Dash) and various clients for Linux, OS X, and Windows.
The Riemann service stores all the information in its index and uses
17%
11.06.2014
-enabled clients, such as the Lightning Thunderbird extension, Evolution, OS X applications like Apple's iCal (Calendar since Mountain Lion), as well as iOS and Android systems.
For this to work, the Kolab team ... data available on iOS and Mac OS X and in Thunderbird and Evolution.
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17.06.2017
databases in the market [11] is strong.
Also, specialized container implementations like Shifter [12] or Singularity [13] are not covered in this article, because they play a subordinate role in the context
17%
12.05.2020
.
done.
Processing triggers for install-info (6.5.0.dfsg.1-2) ...
Processing triggers for libgdk-pixbuf2.0-0:amd64 (2.36.11-2) ...
Now, I'll make sure Octave is installed:
root@c31656cbd380:/# octave
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18.07.2013
into Red Hat's cloud stack (Figure 1). After all, CloudForms 1.1, DeltaCloud 1.0, Storage Server 2.0, JBoss Middleware, and Enterprise Virtualization 3.1 form the foundation for the new products
17%
05.08.2024
-consuming task, which is why license models by volume or processor performance are not a good fit for university operations.
The current hardware comprises two x86 servers running Solaris 11.4, which have access
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14.11.2013
. This translates to Google's experiencing about 25,000-75,000 correctable errors (CE) per billion device hours per megabit, which translates to 2,000-6,000 CE/GB-yr (or about 250-750 CE/Gb-yr). This is much higher
