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submitted 1 year ago* (last edited 1 year ago) by AlmightySnoo@lemmy.world to c/programming@programming.dev

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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[-] Kissaki@feddit.de 9 points 1 year ago

As a more fun or absurd anecdote, I reviewed a change in a SQL server stored procedure that merely copied the parameter value into a variable, solving a significant performance issue.

The query optimizer on first invocation determines the optimal query execution and resolution approach. For a stored procedure with parameters, parameter values can change what the best approach is.

In this case, the parameter could hold a record ID or null for all records. Because it included sub queries, whether it's one or the other makes a huge difference on the query execution approach.

Using an intermediate variable prevents it of taking and remembering the optimization path for the other case.

this post was submitted on 29 Oct 2023
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