Introduce faster approximate sinh/atan math functions #49009
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This commit introduces a new class called ESSloppyMath that is meant to reflect the purpose of Lucene's SloppyMath, but add additional unimplemented faster alternatives to math functions. The two that are used by geotile-grid a lot are sinh/atan. In a quick elasticsearch rally benchmark for geotile-grid on Switzerland data points, this shows a (1.22x) 22% speed-up over using Math's functions. closes elastic#41166.
talevy
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>enhancement
:Analytics/Geo
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Pinging @elastic/es-analytics-geo (:Analytics/Geo) |
iverase
approved these changes
Nov 12, 2019
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thanks Ignacio. I wondered the same about |
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Sounds like a good plan to me |
imotov
approved these changes
Nov 13, 2019
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@elasticmachine update branch |
talevy
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Nov 14, 2019
This commit introduces a new class called ESSloppyMath that is meant to reflect the purpose of Lucene's SloppyMath, but add additional unimplemented faster alternatives to math functions. The two that are used by geotile-grid a lot are sinh/atan. In a quick elasticsearch rally benchmark for geotile-grid on Switzerland data points, this shows a (1.22x) 22% speed-up over using Math's functions. closes #41166.
talevy
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Nov 14, 2019
this resolves incorrectly licensed code in elastic#49009. ESSloppyMath is removed in favor of preserving as much of the original FastMath as possible. Since no additional methods are introduced in ESSloppyMath, this abstraction is removed.
talevy
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Nov 21, 2019
this resolves incorrectly licensed code in #49009. ESSloppyMath is made as a wrapper around FastMath.java which is not meant to be modified with code beyond the original source
talevy
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Nov 21, 2019
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This commit introduces a new class called ESSloppyMath
that is meant to reflect the purpose of Lucene's SloppyMath,
but add additional unimplemented faster alternatives to math functions.
The two that are used by geotile-grid a lot are sinh/atan. This commit also
switches that implementation to use these new functions.
In a quick elasticsearch rally benchmark for geotile-grid on Switzerland
data points, this shows a (1.22x) 22% speed-up over using Math's functions.
closes #41166.