Linear solver \(A, B) performance vs Matlab A\b

General Usage
23

You should’t benchmark in global scope like that https://docs.julialang.org/en/stable/manual/performance-tips/

julia 0.5:

julia> using BenchmarkTools

julia> a = randn(90,90); b = randn(90);

julia> @btime $a \ $ b;
  103.155 μs (8 allocations: 65.08 KiB)

julia 0.6:

julia> using BenchmarkTools

julia> a = randn(90,90); b = randn(90);

julia> @btime $a \ $ b;
  100.378 μs (8 allocations: 65.08 KiB)
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