ThreadsX.jl
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Parallelized Base functions
This pull request changes the compat entry for the `Setfield` package from `0.3, 0.4, 0.5, 0.6, 0.7, 0.8` to `0.3, 0.4, 0.5, 0.6, 0.7, 0.8, 1`. This keeps the compat...
``` julia> ThreadsX.reduce(hcat, [rand(3), rand(3)]) ERROR: DimensionMismatch("mismatch in dimension 1 (expected 1 got 3)") ``` This is a common idiom for concatenating arrays of arrays. `reduce(vcat, ...)` runs, but produces...
I find myself writing: ``` function experiment(ArrayT, N, M) if ArrayT
@tkf what is the reason of the following performance comparison? (this is a fresh Julia session on Win11 with 8 threads): ``` julia> Threads.nthreads() 8 julia> x = rand(10^8) .-...
I am not sure if this is to be expected, or reflects and underlying issue with Julia, and if there are any workarounds. ```julia julia> VERSION v"1.6.0-beta1.1" julia> using ThreadsX,...
Minor typo correction