Removing precompilation leads to lower allocations!?

Krastanov · January 21, 2022, 10:10pm

Discussion in Taking TTFX seriously: Can we make common packages faster to load and use - #9 by jlapeyre seems to answer some of my questions.

Julia bugs to track if you have such problems:

github.com/JuliaLang/julia

problem with the unreliable approximation of `Core.Compiler.return_type`

opened 08:44AM - 08 May 20 UTC

stev47

bug inference

Using Julia master (newer than 301db971daaeeb627ba768375538e6e7ff36d215), the fo…llowing does not infer the correct type (see also the discussion in #34048): ```julia using Test, LinearAlgebra # @inferred mapreduce(norm, +, [rand(1)]); @inferred mapreduce(norm, +, [rand(1)]; init = 0.); ``` Note that the third line works if you comment out the second line (start from a fresh Julia session), which makes testing this issue difficult.

https://github.com/JuliaLang/julia/issues/35972

Also check out the bugs in other packages that link to the ones above.