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Learning from Redundant Optimization: The asin() Function Case Study

By

def-pri-pub

2mo ago· 14 min readenInsight

Summary

The article discusses the author's realization that a faster implementation of the asin() (arcsine) function was already available in standard libraries, making their optimization efforts unnecessary. The author reflects on the importance of researching existing solutions before attempting optimizations, sharing their experience with the PSRayTracing project where they constantly seek performance improvements. The piece serves as a cautionary tale about avoiding redundant work by first checking what's already available.

Key quotes

· 5 pulled
This is really a tale of 'Do your research before acting and know what your goal is,' as you'll end up saving yourself a lot of time.
No matter how hard I try to shelve that project, every once in a while I hear about something 'new' and then wonder 'can I shove this into the ray tracer and wring a few more seconds of speed out of it?'
I still can't escape PSRayTracing.
Nobody likes throwing away work they've done either, and there could be something here that is valuable for someone else.
This one is going to be a quick one as there wasn't anything new discovered. In fact, I feel quite dumb.
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This one is going to be a quick one as there wasn't anything new discovered. In fact, I feel quite dumb. This is really a tale of "Do your research before acting and know what your goal is," as you'll end up saving yourself a lot of time. Nobody likes thr

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