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19.10.2012
consisting of 80 cores with 4GB of RAM per core with basic storage of 500GB. POD pricing is based on cores/hour and would work out to be US$ 6,098.00/month or US$ 0.101/core·hour. A large example of 256 cores
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08.08.2014
]
Python [6]
Julia (up and coming) [7]
Java [8]
Matlab [9] and Matlab-compatible tools (Octave [10], Scilab [11], etc.)
Java is the lingua franca of MapReduce [12] and Hadoop
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this code, I’ll be a little naive and just use the data copy
directive to copy the data from the CPU to the GPU and back (Table 6). Notice that each kernel parallel loop
directive has its own data copy
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the massive difference in time: 46.298s
in the first copy and 0.371s
in the second copy. Listing 6 shows the FS-Cache stats.
Listing 6: Stats for Local Directory Copy
# cat /proc/fs/fscache/stats
FS
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-u $SLURM_JOB_USER dcgmi stats -g $groupid -e
sudo -u $SLURM_JOB_USER dcgmi stats -g $groupid -s $SLURM_JOBID
fi
A matching epilog is shown in Listing 6 for completeness. It writes the detailed job statistics report to the working directory
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. As the level of compression increases, the amount of time to perform the compression increases and the amount of memory used increases. Compress level -6
is the default and is a reasonable trade-off between
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in Listing 6.
Listing 6: gzip
and gpg
$ gzip -9 -c package-list.txt | gpg --symmetric --cipher-algo aes256 -o secure.gz.gpg
gpg: keybox '/home/laytonjb/.gnupg/pubring.kbx' created
The command line pipes
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are working on a Warewulf4 cluster, so to add a new user (e.g.,testuser1
) to the system (Listing 6), you have to add two more steps so that the user appears on all of the compute nodes.
Listing 6: Adding
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into EGroupware, if required.
Figure 1: With Collabora Online, EGroupware functions as a full-fledged office platform.
The Apache Guacamole [6] remote access
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Connect [3], the Confluent Schema Registry [4], Kafka Streams [5], and ksqlDB [6] are examples of this kind of infrastructure code. Here, I look at each of these examples in turn.
Data Integration
