I am trying to speedup my code for Laplace Equation Solver. Based on code profiling, most of the time goes in the function given below. I have tried to optimise the functions as much as possible but the performance still isn’t near an available FORTRAN code (which runs 33% faster). Can anyone tell m…

It looks like your solver is Jacobi iteration. You might do better with a different solver rather than tuning this one. Or is your loop a smoother for multigrid?

I just want to see how I can make Julia as fast as Fortran. I used a FORTRAN code given by NVIDIA for this. The function I pasted in this question is based on the FORTRAN function given below. function calcNext(A, Anew, m, n) integer, parameter :: fp_kind=kind(1.0d0) real(f…

You can attain a significant speedup by moving the @fastmath annotation to the outer loop to allow it to operate on the whole loop body, and it’s faster yet with LoopVectorization.jl’s @avx macro: function calcNext0!(Anew,A) m, n = size(A) error = 0.0::Float64; @inbounds for j=2:(m-1) …

Thanks a lot ! I got the speedup by moving @fastmath annotation to the outer loop. However, I got an error when I tried to use @avc macro. Also, (probably unrelated) the LoopVectorisation.jl package installation showed error for vsub. julia> @btime calcNext0!(A,Anew) 755.200 μs (1 allocation: 16 …

What version of Julia are you on? What version of LoopVectorization? Your error shows: _avx_! at C:\Users\Ashok Kumar Mishra\.julia\packages\LoopVectorization\sJUjl\src\reconstruct_loopset.jl:268 But _avx_! hasn’t been at src\reconstruct_loopset.jl:268 for a very long time (the line number should…

And what version of LoopVectorization? julia> using Pkg julia> Pkg.status("LoopVectorization") Status `~/.julia/environments/v1.6/Project.toml` [bdcacae8] LoopVectorization v0.8.20 `~/.julia/dev/LoopVectorization` (It shouldn’t be in dev for you, but update your packages if it isn’t 0.8.20.)

I just updated my package and the version changed from 0.6.21 =>0.6.30. Should I try to get it from the repository and install?

Ok a funny thing happened. I installed the package in my WSL-2 Julia installation and its version is at 0.8.13. In my Windows installation, i was only able to install upto 0.6.30. I guess this issue cannot be reproduced.

Trying to speed-up Laplace Equation Solver

General Usage Performance

PetrKryslUCSD July 29, 2020, 2:56pm 5

Check out the Julia code in this benchmark: Interesting NASA "Language-Comparison" repository - #26 by PetrKryslUCSD

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Trying to speed-up Laplace Equation Solver

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