2016-06-10 16:55, Jasvinder Singh:

From: Guruprasad Mukundarao <redacted>

This script parses the application configuration file and detects all the
pipelines specified therein, and then, it generates all the possible mappings
of those pipelines on the specified CPU core-list.

As a result, each of the possible pipeline-to-core mappings is saved as
separate output configuration file. For example- if input file is
edge_router_downstream.cfg with 3 pipeline (excluding pipeline 0) and
core-list is “1, 2”, following combinations will be generated-

Pipeline 1        Pipeline 2      Pipeline 3
Core = 1          Core = 1        Core = 2
Core = 1          Core = 2        Core = 1
Core = 2          Core = 1        Core = 1
Core = 2          Core = 2        Core = 1
Core = 2          Core = 1        Core = 2
Core = 1          Core = 2        Core = 2
Core = C1         Core = C1H      Core = C2
Core = C1         Core = C2       Core = C1H
Core = C2         Core = C1       Core = C1H

This script will help users to analyse the performance of application by
evaluating all the generated configuration files with different
pipelines-to-core mappings and obtaining the application configuration file
with best performance.

To run the script, issue the following command;

./pipeline-to-core-mapping.py -i <input_configuration_file> -pc "s<socket-id>c<core-id>"

Some optional arguments are as follows:
  -h, --help            show this help message and exit
  -ht {ON,OFF}, --hyper-thread {ON,OFF}
                        enable/disable hyper threading. default is ON
  -nO, --no-output-file
                        disable output config file generation. Output file
                        generation is enabled by default

Signed-off-by: Guruprasad Mukundarao <redacted>
Acked-by: Cristian Dumitrescu <redacted>

Applied

I am not sure we are still in the scope of an example here.
ip_pipeline looks to be a complete DPDK application.