JuliaLang / julia / 1334
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`map` in `+`/`-` for `Array`s (#59961)

`map` is a simpler operation and uses linear indexing for `Array`s. This
often improves performance (occasionally enabling vectorization) and
improves TTFX in common cases. It also automatically returns the correct
result for 0-D arrays, unlike broadcasting that returns a scalar.

Performance:
```julia
julia> A = ones(3,3);

julia> @btime $A + $A;
  44.622 ns (2 allocations: 144 bytes) # v"1.13.0-DEV.1387"
  29.047 ns (2 allocations: 144 bytes) # this PR

julia> A = ones(3,3000);

julia> @btime $A + $A;
  10.095 μs (3 allocations: 70.40 KiB) # v"1.13.0-DEV.1387"
  4.787 μs (3 allocations: 70.40 KiB) # this PR

julia> @btime A + B + C + D + E + F setup=(A = rand(200,200); B = rand(200,200); C = rand(200,200); D = rand(200,200); E = rand(200,200); F = rand(200,200));
  93.910 μs (3 allocations: 312.59 KiB) # v"1.13.0-DEV.1387"
  64.813 μs (9 allocations: 312.77 KiB) # this PR
```
Similarly for `-`.

TTFX:
```julia
julia> A = ones(3,3);

julia> @time A + A;
  0.174090 seconds (303.47 k allocations: 14.575 MiB, 99.98% compilation time) # v"1.13.0-DEV.1387"
  0.072748 seconds (220.27 k allocations: 11.139 MiB, 99.95% compilation time) # this PR
```

These are measured on
```julia
julia> versioninfo()
Julia Version 1.13.0-DEV.1388
Commit c5f492781e (2025-10-27 11:44 UTC)
Platform Info:
  OS: Linux (x86_64-linux-gnu)
  CPU: 8 × Intel(R) Core(TM) i5-10310U CPU @ 1.70GHz
  WORD_SIZE: 64
  LLVM: libLLVM-20.1.8 (ORCJIT, skylake)
  GC: Built with stock GC
Threads: 1 default, 1 interactive, 1 GC (on 8 virtual cores)
Environment:
  LD_LIBRARY_PATH = /usr/local/lib:
  JULIA_EDITOR = subl
```
Source Files on build 1334
Detailed source file information is not available for this build.