this post was submitted on 29 Oct 2023
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Programming

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Got myself a few months ago into the optimization rabbit hole as I had a slow quant finance library to take care of, and for now my most successful optimizations are using local memory allocators (see my C++ post, I also played with mimalloc which helped but custom local memory allocators are even better) and rethinking class layouts in a more "data-oriented" way (mostly going from array-of-structs to struct-of-arrays layouts whenever it's more advantageous to do so, see for example this talk).

What are some of your preferred optimizations that yielded sizeable gains in speed and/or memory usage? I realize that many optimizations aren't necessarily specific to any given language so I'm asking in !programming@programming.dev.

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[–] hperrin@lemmy.world 39 points 10 months ago (1 children)

I don’t know if this counts, but making sure not a single query in my app results in a full table scan in MySQL made a huge difference.

[–] AlmightySnoo@lemmy.world 40 points 10 months ago* (last edited 10 months ago) (2 children)

Lemmy is probably a good live example of how sometimes going for a "faster language" like Rust isn't going to magically make a bad SQL database design better or slow queries faster: https://github.com/LemmyNet/lemmy/issues/2877

So yeah, SQL optimization stories are definitely welcome too!

[–] haui_lemmy@lemmy.giftedmc.com 5 points 10 months ago

I read through most of this and it was very informative. Thank you very much.

[–] peereboominc@lemm.ee 5 points 10 months ago

That was a good read. Thanks for the link.