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use the same container for nodes but have them boot with different kernels, but please test the combination before putting it in production.
Combining a container with a kernel is done with a profile
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of the system, so it captures all I/O to specific devices.
Typically, iotop
is used to profile the I/O and CPU usage of an application. You start iotop
in a terminal window, send the output to a file
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to big data, casino operators can create granular customer profiles. The Flamingo Hotel of Caesars Entertainment in Las Vegas alone employs 200 big data analysts. Specialized analytics solutions
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_Beyond_the_Stall.pdf 28 hpc_001.html.gpg
196 hpc_001.html 24 hpc_001.html.gz.gpg
[laytonjb@home4 TEMP]$ head -n 5 hpc_001.html
HPC Storage - Getting Started with IO profiling applications
Looks like plain text
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the performance and scalability of your code, particularly serial code. Now, you should be able to pull everything together, from profiling your application to determine which code to parallelize, to using
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functions. The general categories of these functions are:
device and memory management
memory hooks
streams and events
profilers
These functions are extremely useful for writing custom
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. It all boils down to the I/O profile of the ecosystem or server on which it is being implemented. Before I dive right in, I want to take a step back, so you understand what I/O caching is and what
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–
or they can be put in /etc/profile.d
, so when any user logs in, these environment variables are defined. For my testing in this article, I just added the commands to the two user accounts I have on the system
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or sar+ksar). Others gather metrics for clusters (e.g., Ganglia or Cacti), and some come with plotting tools built-in using the RRDtool database. Some tools are specifically for performance profiling
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with the other Open|SpeedShop views.
Figure 4: Program counter sampling comparative analysis view.
Open|SpeedShop Call Path Profiling Example
The previous
