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21.04.2015
-r--r-- 2 root root 6 3. Feb 18:36 .glusterfs/0d/19/0d19fa3e-5413-4f6e-abfa-1f344b687ba7
#
# ls -alid dir1 .glusterfs/fe/9d/fe9d750b-c0e3-42ba-b2cb-22ff8de3edf0 .glusterfs
/00
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26.01.2025
the binary media data as text. Among the myriad ways to do this, the standard in browsers is Base64 encoding [22], provided in Julia by the IBase64
package.
Listing 4 shows the server program from Listing 3
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19.10.2012
is US$ 3.1/hour.
Thus, using the small usage case (80 cores, 4GB of RAM per core, and basic storage of 500GB) would cost US$ 24.00/hour (10 Eight Extra Large Instances). The larger usage case (256 cores
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03.01.2013
-1.el6 epel 9.1 M
Installing for dependencies:
GraphicsMagick x86_64 1.3.17-1.el6 epel 2.2 M
GraphicsMagick-c++ x86_64 1.3.17-1.el6
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23.07.2013
admin (Table 1).
Table 1: PowerDNS Features
Authoritative DNS server (hosting)
Resolving DNS server (caching)
API to provision zones and records
DNSSEC support (as of 3.x
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04.11.2011
:
[http://forums.amd.com/devforum/messageview.cfm?catid=390&threadid=125792]
[8] CUDA toolkit download:
[http://developer.nvidia.com/object/cuda_3_2_downloads.html#Linux]
[9] NVidia pre
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25.08.2016
seen much more interest in Nano (Figure 3), partly, I believe, because Nano has the command help at the bottom of the screen at all times, which, if you don't use Nano very often, can be very, well
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08.07.2018
a range of hosts on the command line:
$ pdsh -w host[1-11] uname -r
$ pdsh -w host[1-4,8-11] uname -r
In the first case, pdsh
expands the host range to host1
, host2
, host3
, etc., through host11
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19.09.2019
add_ufunc(x, y):
return x + y
The decorator line defines the data types (i.e., int64
here) and the target for the decorator cuda
. A simple test for the add_ufunc
Numba function is:
a = np.array([1, 2, 3, 4])
b ... High-Performance Python 3
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07.03.2019
that lend themselves to parallelizing with directives. You can parallelize each loop individually (Table 2), giving you more control, or you can combine loop directives into a single directive (Table 3
