Manual de Houdini 3 2012 | Page 243

Reference

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When Learning is enabled the learning file will automatically be loaded at the start of
the analysis, and further analysis will be appended to the file.
When Learning is enabled, automatically the Never Clear Hash option will be activated
as clearing the hash would be counterproductive for the learning.
Learning File
File name for saving the learning data.
A full file name is required, for example C:\Chess\Learn001.dat. By default Houdini will
use the Learn.dat file in the "My Documents" folder of the current user.
The learning file will be updated at the start of a new game or when you close the
engine or GUI.
Learning Threshold
Min 0, Max 200, Default 10.
The Learning Threshold is the minimum positive score of a principal variation that is
saved.
When Learning Threshold is larger the learning file will grow slower, as fewer moves
will satisfy the condition..

Split Depth
When using multiple threads, the Split Depth parameter defines the minimum depth at
which work will be split between cores.
Default 10, min 8, max 99.
This parameter can impact the speed of the engine (nodes per second) and can be
fine-tuned to get the best performance out of your hardware. The default value 10 is
tuned for Intel quad-core i5/i7 systems, but on other systems it may be advantageous
to increase this to 12 or 14.

To see which Split Depth value is best for your system you can use Houdini's autotune
command. Run Houdini in a command window (simply by double-clicking on the
executable) and type autotune followed by Enter. This command will analyze 4
positions for 30 seconds and measure the average nodes/second for Split Depth values
between 10 and 18. Use the value that produces the highest average node speed in
your Houdini configuration.

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