[petsc-users] Performance of Conda Binary vs Self Compiled Version

[Matthew Knepley]

On Thu, Oct 19, 2023 at 8:35 PM Jorge Nin <jorgenin at mit.edu> wrote:

> Hi Mathew,
>
> Thanks for the response. It actually seems like the matrix is very sparse (0.99%
> sparsity from what I’m measuring). It’s an FEA solver so it would make
> sense.
> My current guess is the optimization flags are making a large difference
> for the M1 Mac, but I am also surprised it makes such a huge difference.
>
> It’s why I was asking if there was a resource or another to use my own
> version of PETSc with Conda.
>

We do not know how Conda works unfortunately.

  Thanks,

     Matt


> I believe a 2-3 x speed up is worth the hassle.
>
>
> Best,
> Jorge
>
>
>
> On Oct 19, 2023, at 4:00 PM, Matthew Knepley <knepley at gmail.com> wrote:
>
> On Thu, Oct 19, 2023 at 3:54 PM Jorge Nin <jorgenin at mit.edu> wrote:
>
>> Hi,
>> I was playing around with a self compiled version and, and a the Conda
>> binary of Petsc on the same problem, on my M1 Mac.
>> Interestingly I found that the Conda binary solves the problem 2-3 times
>> slower vs the self compiled version. (For context I’m using the petsc4py
>> python interface)
>>
>> I’ve attached two log views to show the comparison.
>>
>> I was mostly curious about the possible cause for this.
>>
>
> All the time is in the LU numeric factorization. I don't know if your
> matrix is sparse or dense. I am guessing it is dense and different LAPACK
> implementations are linked. If it is sparse, then the compiler options are
> different between builds, but I would be surprised if it made this much
> difference.
>
>   Thanks,
>
>      Matt
>
>
>>  I was also curious how I could use my own compiled version of PETSc in
>> my Conda install?
>>
>>
>> Best,
>> Jorge
>>
>>
>
> --
> What most experimenters take for granted before they begin their
> experiments is infinitely more interesting than any results to which their
> experiments lead.
> -- Norbert Wiener
>
> https://www.cse.buffalo.edu/~knepley/
> <http://www.cse.buffalo.edu/~knepley/>
>
>
>

-- 
What most experimenters take for granted before they begin their
experiments is infinitely more interesting than any results to which their
experiments lead.
-- Norbert Wiener

https://www.cse.buffalo.edu/~knepley/ <http://www.cse.buffalo.edu/~knepley/>
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