https://tube.ekaii.fr/videos/watch/56be2587-fd2b-42ba-9b74-b271000770f1 Fading out audio is one of the most CPU-intensive tasks you can possibly do! When numbers get really small, the number of CPU operations can explode 100-fold. Both x86 and ARM have special CPU instructions just to handle it. But why? In this video, we'll explore the IEEE 754 (floating point) standard, the fight between Intel and DEC, and I'll write some demonstration C++ code that illustrates this problem even today! Timestamps: 00:00 Subnormal Arithmetic Cost 02:25 An Accuracy Debate... 06:28 Too small to calculate? 08:56 IEEE 754 Standard 10:17 Digital Audio Workstation Conundrum 14:18 A Massive CPU Spike Follow LaurieWired on Social Media: ►https://linktr.ee/lauriewired Papers Cited: "An Interview with the Old Man of Floating-Point": https://people.eecs.berkeley.edu/~wkahan/ieee754status/754story.html Pentium 4 and Xeon Processor Optimization manual (Chapter 5, “Optimizing for SIMD Floating-point"): https://kib.kiev.ua/x86docs/Intel/Intel-OptimGuide/248966-004.pdf Short demo code: https://gist.github.com/LaurieWired/3f8be4648b3e627e3fcd5607d83b405f — mirrored from https://www.youtube.com/watch?v=y-NOz94ZEOA Sat, 20 Jun 2026 18:55:18 GMT https://validator.w3.org/feed/docs/rss2.html PeerTube - https://tube.ekaii.fr https://tube.ekaii.fr/client/assets/images/icons/icon-1500x1500.png https://tube.ekaii.fr/videos/watch/56be2587-fd2b-42ba-9b74-b271000770f1 All rights reserved, unless otherwise specified in the terms specified at https://tube.ekaii.fr/about and potential licenses granted by each content's rightholder.