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15%
Access Anywhere with Mobile IPv6
16.04.2013
Home »  Articles  » 
. The correspondent node always uses the MN’s home address to communicate with the MN; this always leads to the home agent. The MN can communicate in two ways with the correspondent node. In bidirectional tunneling
15%
Forensic Analysis on Linux
30.04.2013
Home »  Articles  » 
then dump the memory. However, this process causes changes in the system status, which, in the worst case, can lead to the loss of important evidence for the forensic investigator. After loading the fmem
15%
Tuning I/O Patterns in C
31.07.2013
Home »  HPC  »  Articles  » 
hitting the predefined buffer size. From a theoretical standpoint, the ability to better buffer the data can lead to better throughput performance. In the next article, I will look at how Fortran 90
15%
Kickstack: OpenStack with Puppet
22.06.2014
Home »  Articles  » 
lead to OpenStack auto-deployment environments that currently only exist in the form of Puppet solutions. The reason is ultimately much more trivial: All told, Puppet integrates better with Open
15%
The Meson Build System
16.07.2014
Home »  HPC  »  Articles  » 
, this leads to an error in building the no_hello program. Tests Meson allows simple unit tests whose definition is demonstrated in Listing 3. Here, the test() function defines a new test case A test
15%
GNU Parallel: Multicore at the Command Line with GNU Parallel
04.11.2011
Home »  HPC  »  Articles  » 
Parallel to run multiple tasks at once. The jobs option takes an explicit number of tasks to run at once, a number with a leading + or - sign to use as an offset from the number of CPU cores available
15%
Virtualization with KVM
29.06.2011
Home »  CloudAge  »  Articles  » 
 
-kvm-extras. openSUSE 11.3 even bundles the complete, official Qemu system into its qemu package, which leads to curious situation where you can launch Qemu by typing either qemu-kvm or qemu. The first
15%
Compiler Directives for Parallel Processing
12.08.2015
Home »  HPC  »  Articles  » 
for even more performance has been strong, leading to the adoption of co-processors, which take on some of the computational load to improve application performance. These co-processors, also referred
15%
Read-only File Compression with SquashFS
14.06.2017
Home »  HPC  »  Articles  » 
patterns, and sometimes they require lots of CPU time, which leads to the need to find a balance between compression level, the amount of memory required, and the amount of time it takes to complete
15%
OpenMP – Parallelizing Loops
03.04.2019
Home »  HPC  »  Articles  » 
arrays), and other specialized processors. Fairly quickly GPUs jumped into the lead, offering hundreds if not thousands of lightweight threads. With the help of various tools, users could write code

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