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29%
Managing FOSS applications on AIX
27.05.2025
Home »  Archive  »  2025  »  Issue 87: Light...  » 
Lead Image © Nataliia Natykach, 123RF.com
with the requested packages. The tool helps you avoid the well-known and feared RPM "dependency hell" problem [3]. DNF works with an existing software repository that contains RPM packages. The repository can
29%
Moving HPC to the Cloud
19.10.2012
Home »  HPC  »  Articles  » 
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
29%
Matlab-Like Tools for HPC
03.01.2013
Home »  HPC  »  Articles  » 
-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
29%
Speed up Your Name Server with a MySQL Back End
23.07.2013
Home »  Articles  » 
 
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
29%
Parallel Programming with OpenCL
04.11.2011
Home »  HPC  »  Articles  » 
: [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
29%
Let the Editor Wars Begin!
25.08.2016
Home »  HPC  »  Articles  » 
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
29%
pdsh Parallel Shell
08.07.2018
Home »  HPC  »  Articles  » 
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
29%
High-Performance Python 3
19.09.2019
Home »  HPC  »  Articles  » 
 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
29%
OpenACC – Porting Code
07.03.2019
Home »  HPC  »  Articles  » 
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
29%
Linux Writecache
19.11.2019
Home »  HPC  »  Articles  » 
, ioengine=libaio, iodepth=32 fio-3.12 Starting 1 process Jobs: 1 (f=1): [w(1)][100.0%][w=475MiB/s][w=122k IOPS][eta 00m:00s] test: (groupid=0, jobs=1): err= 0: pid=1634: Mon Oct 14 22:18:59 2019   write: IOPS=118k, BW=463Mi

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