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Add documentation about using Intel Vtune with NEURON #2971

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merged 4 commits into from
Jul 10, 2024

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@pramodk pramodk commented Jul 9, 2024

  • How to build and configure NEURON with Caliper + Vtune
  • How to use Caliper's Vtune service
  • How to use different analysis like hotspots, micro-arch and memory-access to identify common issues.

This could be further expanded but I think this is already a good start!

Related to #2951 and #2787.

The documentation draft is available here: https://nrn.readthedocs.io/en/pramodk-vtune-usage-docs/install/debug.html#profiling-with-intel-vtune

- How to build and configure NEURON with Caliper + Vtune
- How to use Caliper's Vtune service
- How to use different analysis like hotspots, micro-arch
  and memory-access to identify common issues.

This could be further expanded but I think this is already a good start!
@pramodk pramodk requested review from nrnhines and 1uc July 9, 2024 22:33
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✔️ 116cb65 -> Azure artifacts URL

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codecov bot commented Jul 9, 2024

Codecov Report

All modified and coverable lines are covered by tests ✅

Project coverage is 67.26%. Comparing base (1f1f8c9) to head (dfc1b9f).

Additional details and impacted files
@@            Coverage Diff             @@
##           master    #2971      +/-   ##
==========================================
- Coverage   67.26%   67.26%   -0.01%     
==========================================
  Files         572      572              
  Lines      104889   104895       +6     
==========================================
+ Hits        70552    70553       +1     
- Misses      34337    34342       +5     

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Very nicely written.

@pramodk
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pramodk commented Jul 10, 2024

After re-reading realise that I was missing a reference to an interesting/useful screenshot where we see the latencies with the object size:

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✔️ dfc1b9f -> Azure artifacts URL

@pramodk pramodk merged commit 85ee742 into master Jul 10, 2024
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@pramodk pramodk deleted the pramodk/vtune-usage-docs branch July 10, 2024 09:55
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@pramodk Thanks! I'm looking forward to using this to look at differences in destructive cacheline shareing between master and #2951 for the #2787 model.

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4 participants