Avoiding runtime dispatch is perhaps the #1 optimization advice in Julia forums. As I understand it, the reason is that when the Julia compiler does a runtime dispatch it does not at compile-time neccesarily know the return type of the function to be called. And so, it needs to allocate space for t…

Note that there’s an escape hatch for changing max_methods if the code requires: julia/base/experimental.jl at 96866cb8f5c8f28d96c2b9e4eb1ec4f3a00a705b · JuliaLang/julia · GitHub

Elimination of (unnecessary) runtime dispatch allocations

Internals & Design

mrufsvold May 4, 2024, 10:11pm 10

Check out this conversation

1 Like

Topic		Replies	Views
Why does runtime dispatch allocate when the return type is inferred? Internals & Design memory-allocation , runtime-dispatch	5	232	May 17, 2025
Multiple dispatch with more than 4 methods blocks type inference Performance	15	1322	October 28, 2020
Why does this type instability lead to allocations? Performance	3	543	January 13, 2023
Disabling allocations Performance	50	5554	December 10, 2020
Performance problems when dealing with deliberately type-unstable code. How to use type knowledge better? Performance	33	2068	December 30, 2020

Elimination of (unnecessary) runtime dispatch allocations

Related topics