<div dir="ltr"><div class="gmail_quote"><div dir="ltr">On Tue, Nov 6, 2018 at 9:47 AM Edoardo alinovi via petsc-users <<a href="mailto:petsc-users@mcs.anl.gov">petsc-users@mcs.anl.gov</a>> wrote:<br></div><blockquote class="gmail_quote" style="margin:0 0 0 .8ex;border-left:1px #ccc solid;padding-left:1ex"><div dir="ltr"><div dir="ltr"><div><div>Dear users, </div><div><br></div><div>I have a question about the correct use of the option "PCFactorSetMatOrderingType" in PETSc. </div><div><br></div><div>I am solving a problem with 2.5M of unknowns distributed along 16 processors and I am using the block jacobi preconditioner and MPIAIJ matrix format. I cannot figure out if the above option can be useful or not in decreasing the computational time. Any suggestion or tips?</div><div></div></div></div></div></blockquote><div><br></div><div>It depends on where the matrix comes from. If the initial ordering is bad, it can make a big difference. If not, then it won't.</div><div><br></div><div> Thanks,</div><div><br></div><div> Matt</div><div> </div><blockquote class="gmail_quote" style="margin:0 0 0 .8ex;border-left:1px #ccc solid;padding-left:1ex"><div dir="ltr"><div dir="ltr"><div><div>Thank you very much for the kind help </div></div><br clear="all"><div><div dir="ltr" class="m_-7292315964946661570gmail_signature"><div dir="ltr">------<div><br></div><div>Edoardo Alinovi, Ph.D.</div><div><br></div><div>DICCA, Scuola Politecnica<br>Universita' di Genova<br>1, via Montallegro<br>16145 Genova, Italy<br></div><div><br></div><div>email: <a href="mailto:edoardo.alinovi@dicca.unige.it" target="_blank">edoardo.alinovi@dicca.unige.it</a></div><div>Tel: +39 010 353 2540<br></div><div><br></div><div><br></div></div></div></div></div></div>
</blockquote></div><br clear="all"><div><br></div>-- <br><div dir="ltr" class="gmail_signature" data-smartmail="gmail_signature"><div dir="ltr"><div><div dir="ltr"><div><div dir="ltr"><div>What most experimenters take for granted before they begin their experiments is infinitely more interesting than any results to which their experiments lead.<br>-- Norbert Wiener</div><div><br></div><div><a href="http://www.cse.buffalo.edu/~knepley/" target="_blank">https://www.cse.buffalo.edu/~knepley/</a><br></div></div></div></div></div></div></div></div>