petsc and matlab
Alejandro Garzon
gtg100n at mail.gatech.edu
Tue Aug 21 07:19:05 CDT 2007
Yes, the "A" matrix is the same.
--
Alejandro
Quoting Barry Smith <bsmith at mcs.anl.gov>:
>
> Is the matrix "A" the same for all groups (and the only thing
> different for each group is b)?
>
> Barry
>
>
> On Mon, 20 Aug 2007, Alejandro Garzon wrote:
>
> > Hi, I wrote a code for solving a time dependent pde. In each time step
> > I have to solve a linear system. I first wrote a prototype in matlab
> > and then a C version using Petsc. To my surprise for some input
> > parameters the matlab version runs faster than the Petsc code (on the
> > same single processor). I did
> > the performance comparison by timing 20 groups of 40 iterations. The
> > times for Petsc and matlab are shown bellow
> >
> > group Petsc matlab
> >
> > 1 0.244981 1.110283
> > 2 0.244995 1.112919
> > 3 0.241305 1.113608
> > 4 0.244542 1.114669
> > 5 7.534417 1.112450
> > 6 0.242212 1.115867
> > 7 0.246327 1.111135
> > 8 0.241105 1.113442
> > 9 0.244468 1.111215
> > 10 0.241113 1.111334
> > 11 0.244541 1.112467
> > 12 0.241400 1.113525
> > 13 0.245020 1.114077
> > 14 0.241303 1.113409
> > 15 0.244380 1.116238
> > 16 0.241372 1.109931
> > 17 0.244108 1.100667
> > 18 0.240419 1.096030
> > 19 0.244337 1.096293
> > 20 17.139999 1.097120
> > --------- --------
> > total 29.0523 22.1967
> > time
> >
> > As can be seen in the table, although in most of the groups the time
> > spent by the Petsc code is lower than that of matlab
> > (0.24 compared to 1.1) there are two groups (5 and 20) in the Petsc column
> that
> > take a long time and make the total for the Petsc code bigger than
> > that for matlab.
> >
> > In Petsc and matlab the method used is bicg and the relative residual
> > is the same: 1e-8. The preconditioners are different, though. In petsc
> > I used the default preconditioner and in matlab I used incomplete LU
> > decomposition with drop tolerance. The code that solves the linear
> > system in matlab is
> >
> > [L,U] = luinc(A,droptol); <---- this is done only once before the
> > first iteration, droptol = 1e-12
> >
> > x = bicg(A,b,relres,maxsteps,L,U);
> >
> > I know incomplete LU decomposition as a preconditioner is available in
> > Petsc but in order to use it one must provide two arguments in
> > addition to the drop tolerance and I didn't know what values to give
> > to them.
> >
> > My question is this: what options should be chosen so that the
> > preconditioner and method use by Petsc are the same as those shown in
> > the two lines of matlab code above? (could you contact the authors of the
> > matlab functions?) A comparison of the performace of Petsc and matlab
> > makes sense only if they are using the exact same methods.
> >
> >
> > Thanks.
> >
> > --
> > Alejandro
> >
> >
> >
> >
> >
>
>
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