[petsc-users] Suspicious long call to VecAXPY
Barry Smith
bsmith at mcs.anl.gov
Fri Jan 6 16:40:22 CST 2017
The second one should absolutely be slower than the first (because it actually iterations through the indices you pass in with an indirection) and the first should not get slower the more you run it.
Depending on your environment I recommend you using a profiling tool on the code and look at where it is spending its time within VecAXPY. The basic Linux/Unix profiling tool is gprof, but you can use Instruments on macOS (part of Xcode) or Intel's vtune if you have that.
You can also try a different BLAS to see if that matters. For example --download-fblaslapack or don't use MKL if you are using it.
Barry
> On Jan 6, 2017, at 4:31 PM, Łukasz Kasza <rpgwars at wp.pl> wrote:
>
>
>
> Dear PETSc Users,
>
> Please consider the following 2 snippets which do exactly the same (calculate a sum of two vectors):
> 1.
> VecAXPY(amg_level_x[level],1.0,amg_level_residuals[level]);
>
> 2.
> VecGetArray(amg_level_residuals[level], &values);
> VecSetValues(amg_level_x[level],size,indices,values,ADD_VALUES);
> VecRestoreArray(amg_level_residuals[level], &values);
> VecAssemblyBegin(amg_level_x[level]);
> VecAssemblyEnd(amg_level_x[level]);
>
> In my program I have both of the snippets executed in a loop. The problem with the first one is that the longer the program goes the longer it takes to execute it. At the same time the execution time of the second snippet is more or less constant. I don't know why but after a few hundreds of iterations VecAXPY takes more than MatMult on the matrix and vector of the same size and after that it still grows! Always returning a correct value though. I am using 4.5.3 version, the vectors are
> sequential. VecAXPY in such case is just a wrapper for blas, do you have any idea why the execution time of this function constantly grows?
>
> Best regards.
>
>
More information about the petsc-users
mailing list