Use -O1 optimization level

[jmert]

Extracted from #681 so that this can have some more discussion and not slow down that PR. From the other PR:

[This] commit enables a lower optimization level for the entire module in Julia 1.5+. The motivation here is that a lot of functions do not type infer, so we might as well tell the compiler to not try too hard.

[musm]

I think Plots.jl is having to do something similar to this.

[jmert]

Just out of curiosity: rebased on master (307e7dbe8367f573782dfc14c961de7cb64f7849), and running my timing script:

   master precompile:  2.272 ± 0.0294
   master pkg load:    0.624 ± 0.0097
   master pkg test:   47.815 ± 0.6639
optlevel1 precompile:  2.235 ± 0.0462
optlevel1 pkg load:    0.549 ± 0.0110
optlevel1 pkg test:   40.586 ± 0.4779

[musm]

I'm fine with merging this as it does help, as long as we add some comments on it that it's likely unnecessary if we manually fix invalidations in the future.

[jmert]

I'm not in a rush to merge this — was just rebasing some branches and thought I'd just leave a contextual breadcrumb.

Invalidations aren't the thing that this is trying to solve — the invalidations are the same on both master and this branch:

julia> using SnoopCompileCore

julia> invs = @snoopr include("test/runtests.jl")
[ Info: Precompiling HDF5 [f67ccb44-e63f-5c2f-98bd-6dc0ccc4ba2f]
HDF5 version 1.10.4
...

julia> using SnoopCompile

julia> invalidation_trees(invs)
2-element Vector{SnoopCompile.MethodInvalidations}:
 inserting datatype(::Type{foo_hdf5}) in Main at /home/justin/.julia/dev/HDF5/test/compound.jl:32 invalidated:
   mt_backedges: 1: signature Tuple{typeof(datatype), Type} triggered MethodInstance for d_create_external(::HDF5.File, ::String, ::GenericString, ::Type, ::Tuple{Int64, Int64}, ::Int64) (1 children)

 inserting names(x::Union{HDF5.Attributes, HDF5.File, HDF5.Group}) in HDF5 at deprecated.jl:70 invalidated:
   mt_backedges: 1: signature Tuple{typeof(names), Any} triggered MethodInstance for iterate(::Base.Generator{Vector{Any}, typeof(names)}, ::Int64) (3 children)
                 2: signature Tuple{typeof(names), Any} triggered MethodInstance for iterate(::Base.Generator{Vector{Any}, typeof(names)}) (4 children)
   10 mt_cache

It's just that compiler optimizations don't achieve much on poorly type-inferred results, so we can head that off by just telling the compiler to not try very hard at optimizing the generated code.

[musm]

Oh I see, thanks for the clarification. So we have a lot of poorly type-inferred results. It might be tricky to improve the situation on that front.

[jmert]

Yeah, its the very dynamic nature of operations like e.g. read(::Dataset) -> ??? that is going to be the limiting case.

I'm guessing something that will also help is using the other SnoopCompile features and seeing if/where some @nospecialize, ::Any type assertions, and/or other purposeful type-widening might just head off unnecessary inference and compiled specializations.

[musm]

For me timings have now improved, the tests timing difference is about ~ 1 s. And the differences in load and precompile are within 1/10 of a second.

[jmert]

This is what I get on master, a rebased version of this PR, and then a branch where I've additionally removed the deprecations file.

   master precompile:  2.378 ± 0.0274
   master pkg load:    0.562 ± 0.0123
   master pkg test:   52.051 ± 1.6150
optlevel1 precompile:  2.284 ± 0.0135
optlevel1 pkg load:    0.481 ± 0.0120
optlevel1 pkg test:   43.644 ± 0.7541
  no_deps precompile:  2.137 ± 0.0149
  no_deps pkg load:    0.482 ± 0.0092
  no_deps pkg test:   43.443 ± 0.5663

So package precompile and load times are very close now, but optlevel 1 still reduces the entire test suite time by ~8 seconds (~15% reduction from master).

[musm]

I'd also recommend testing/benchmarking

if isdefined(Base, :Experimental) && isdefined(Base.Experimental, Symbol("@max_methods"))
    @eval Base.Experimental.@max_methods 1
    @eval Base.Experimental.@optlevel 0
end

[mkitti]

Last CI run on master, julia-actions/julia-runtest@latest took 1m 58s for ubuntu-latest Julia 1. On this pull request, julia-actions/julia-runtest@latest took 1m 46s for ubuntu-latest Julia 1.

[mkitti]

Looking further, it's a bit of a wash.

Platform	master	-O1 optimization
ubuntu-latest	1m 58 s	1m 46 s
macOS	1m 55s	2m 16s
windows x64	2m 15s	2m 2s
windows x86	2m 33s	2m 43 s