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0 pointschipdart1y ago0 comments

> I don't know how you arrive at this conclusion.

I am well aware of this fact because I've researched the topic and I can state it without any degree if uncertainty. The only and resources there are scattered loose notes and presentations in conferences such as Timur Doulmer's work for C++ On Sea, and even so he's clear on how his work is mainly focused on real-time audio processing, which has different requirements than say HFT.

> The document really is an introduction to the same basic performance techniques that have been covered over and over. Loop unrolling, inlining, and the other techniques have appeared in countless textbooks and blog posts already.

Go ahead and cite the absolute best example you can come up from this incredible list of yours. The very top of your list will suffice to evaluate your whole list. I'll wait.

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Aurornis1y ago

> Go ahead and cite the absolute best example you can come up from this incredible list of yours. The very top of your list will suffice to evaluate your whole list. I'll wait.

This could really do without the "incredible list of yours" and "I'll wait" snark. You don't need to be so condescending, but for the sake of helping others who are actually curious about the subject:

https://www.agner.org/optimize/ is a great place to start that I link to frequently.

It has significantly more breadth than the small collection of techniques in the paper linked in this post. It doesn't have the "HFT" buzzword attached, but then again the techniques in the linked paper above aren't unique to HFT either.

There are also several books on the subject, but given that the above link is a good place to start and the resources are freely available, that's where I'd recommend you look.