Unverified Commit 8439b906 authored by Nikita Titov's avatar Nikita Titov Committed by GitHub
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[docs] remove outdated docs from the repo (#6552)

parent 2ce94266
Recommendations When Using gcc
==============================
It is recommended to use ``-O3 -mtune=native`` to achieve maximum speed during LightGBM training.
Using Intel Ivy Bridge CPU on 1M x 1K Bosch dataset, the performance increases as follow:
+-------------------------------------+---------------------+
| Compilation Flag | Performance Index |
+=====================================+=====================+
| ``-O2 -mtune=core2`` | 100.00% |
+-------------------------------------+---------------------+
| ``-O2 -mtune=native`` | 100.90% |
+-------------------------------------+---------------------+
| ``-O3 -mtune=native`` | 102.78% |
+-------------------------------------+---------------------+
| ``-O3 -ffast-math -mtune=native`` | 100.64% |
+-------------------------------------+---------------------+
You can find more details on the experimentation below:
- `Laurae++/Benchmarks <https://sites.google.com/view/lauraepp/benchmarks/xgb-vs-lgb-feb-2017>`__
- `Laurae2/gbt\_benchmarks <https://github.com/Laurae2/gbt_benchmarks>`__
- `Laurae's Benchmark Master Data (Interactive) <https://public.tableau.com/views/gbt_benchmarks/Master-Data?:showVizHome=no>`__
The image below compares the runtime for training with different compiler options to a baseline using LightGBM compiled with ``-O2 --mtune=core2``. All three options are faster than that baseline. The best performance was achieved with ``-O3 --mtune=native``.
.. image:: ./_static/images/gcc-comparison-2.png
:align: center
:target: ./_static/images/gcc-comparison-2.png
:alt: Picture with a chart grouped by compiler set of options using O2 M tune equals core2 as the baseline. All the other 3 options are faster, with O3 M tune equals native being the fastest.
The content of this document was very outdated and is no longer available to avoid any misleadings.
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