I’ve used techniques I both learned and taught in that class to dramatically speed up many real world large scale systems. Yes, not every aspect taught is appli

I’ve used techniques I both learned and taught in that class to dramatically speed up many real world large scale systems. Yes, not every aspect taught is applicable to every system (one thing we mentioned many times is that many of the micro-optimizations we explained were done by a modern compiler anyways, which is why we even brought up assembly). But those techniques are still useful historic context for the subject, which is exactly what you’d except an introduction class to include for the first lecture, along with a live demo that gets people excited about the class and willing to keep going with it. The class is not about micro-optimization. The first couple lectures are. But people in this thread love to read their titles and stop there. I don’t get it. Here are the lecture notes for measurement and timing, you’ll notice they include what you say about separating signal from noise. I’m sure you, with tons of industry experience behind you, know more than this introductory undergraduate’s lecture in the topic provides (it’d be quite sad if you didn’t!), but that does not mean the class does not indeed provide an introduction to the topics. One that, again, I have personally built upon to dramatically speed up countless medium-to-large scale systems in a wide variety of contexts. https://ocw.mit.edu/courses/6-172-performance-engineering-of-software-systems-fall-2018/4d7f4bb31bf1ed90c669a11867d36d36_MIT6_172F18_lec10.pdf https://ocw.mit.edu/courses/6-172-performance-engineering-of...