SpeciaLUT
AutoGeodesics
| SpeciaLUT | AutoGeodesics | |
|---|---|---|
| 3 | 3 | |
| 26 | 8 | |
| - | - | |
| 3.4 | 10.0 | |
| 7 months ago | over 1 year ago | |
| C++ | C++ | |
| BSD 2-clause "Simplified" License | MIT License |
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SpeciaLUT
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C++ Show and Tell - December 2022
I made SpeciaLUT to convert bool/enum runtime tests to compile-time conditionals — by compiling all branching combinations in hot functions and saving them in a lookup-table, so the optimal one can be called at runtime. Reason: as an HPC consultant I encountered many codes that grew without good architecture, in which features would just be added and branching would propagate through all levels. This yields 10% to 50% performance increase in such codes.
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Runtime-constant propagation and branching optimization strategy
I have implemented this as a C++ library, where you extract const states as template parameters, and the library compiles all specializations and allows you to choose the optimal one at runtime.
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Runtime calling of a template specialisation using compile-time LUTs
So here's my C++20 implementation of the above: SpeciaLUT
AutoGeodesics
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