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    <div class="moz-cite-prefix">On 17/3/2018 1:15 AM, Matthew Knepley
      wrote:<br>
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cite="mid:CAMYG4Gn+FeS4CLif-XgEcBnHm2=k4BC0u41mYbpgrTswOiHaog@mail.gmail.com">
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          <div class="gmail_quote">On Fri, Mar 16, 2018 at 12:54 PM, TAY
            wee-beng <span dir="ltr"><<a
                href="mailto:zonexo@gmail.com" target="_blank"
                moz-do-not-send="true">zonexo@gmail.com</a>></span>
            wrote:<br>
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                <div class="gmail-m_-1748057115269175174moz-cite-prefix">On
                  15/3/2018 6:21 PM, Matthew Knepley wrote:<br>
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                      <div class="gmail_quote">On Thu, Mar 15, 2018 at
                        3:51 PM, TAY wee-beng <span dir="ltr"><<a
                            href="mailto:zonexo@gmail.com"
                            target="_blank" moz-do-not-send="true">zonexo@gmail.com</a>></span>
                        wrote:<br>
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                          style="margin:0px 0px 0px
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                          rgb(204,204,204);padding-left:1ex">Hi,<br>
                          <br>
                          I'm running a CFD code which solves the
                          momentum and Poisson eqns.<br>
                          <br>
                          Due to poor scaling with HYPRE at higher cpu
                          no., I decided to try using PETSc with
                          boomeramg and gamg.<br>
                          <br>
                          I tested for some small cases and it work
                          well. However, for the large problem which has
                          poor scaling, it gives an error when I change
                          my Poisson solver from pure HYPRE to PETSc
                          with boomeramg and gamg.<br>
                          <br>
                          The error is :<br>
                          <br>
                          Caught signal number 11 SEGV: Segmentation
                          Violation, probably memory access out of range<br>
                          <br>
                          I tried using:<br>
                          <br>
                          -poisson_ksp_type richardson -poisson_pc_type
                          hypre -poisson_pc_type_hypre boomeramg<br>
                          <br>
                          -poisson_ksp_type gmres -poisson_pc_type hypre
                          -poisson_pc_type_hypre boomeramg<br>
                          <br>
                          -poisson_pc_type gamg
                          -poisson_pc_gamg_agg_nsmooths 1<br>
                          <br>
                          but they all gave similar error.<br>
                          <br>
                          So why is this so? How should I troubleshoot?
                          I am now running a debug ver of PETSc to check
                          the error msg.</blockquote>
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                        <div>1) For anything like this, we would like to
                          see a stack trace from the debugger or
                          valgrind output.</div>
                        <div><br>
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                        <div>2) We do have several Poisson examples.
                          Does it fail for you on those?</div>
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                Hi,<br>
                <br>
                Can you recommend me some suitable egs? Esp in Fortran?<br>
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            <div>Here is 2D Poisson</div>
            <div><br>
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            <div>  <a
href="https://bitbucket.org/petsc/petsc/src/4b6141395f14f0c7d1415a2ff0158eec75a27d63/src/snes/examples/tutorials/ex5f.F90?at=master&fileviewer=file-view-default"
                moz-do-not-send="true">https://bitbucket.org/petsc/petsc/src/4b6141395f14f0c7d1415a2ff0158eec75a27d63/src/snes/examples/tutorials/ex5f.F90?at=master&fileviewer=file-view-default</a></div>
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                        <div>3) You can also try ML, which is the same
                          type of MG as GAMG. (--download-ml).</div>
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    I have recompiled PETSc with ML. Is there an example command line
    options which I can use for ML?<br>
    <br>
    Another question is generally speaking, is geometric multigrid (GMG)
    faster than algebraic?<br>
    <br>
    I tested on a small problem and the time taken varies from 1.15min
    (HYPRE, geometric) to 3.25 (GAMG). BoomerAMG is 1.45min.<br>
    <br>
    Besides HYPRE, is there any other GMG I can use? <br>
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cite="mid:CAMYG4Gn+FeS4CLif-XgEcBnHm2=k4BC0u41mYbpgrTswOiHaog@mail.gmail.com">
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                        <div> </div>
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                My cluster can't connect to the internet. Where can I
                1st download it?<br>
                <br>
                Similarly, how can I find out the location of the ext
                software by myself?<br>
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            <div>The locations are all in the configure Python modules:</div>
            <div><br>
            </div>
            <div>  <a
href="https://bitbucket.org/petsc/petsc/src/4b6141395f14f0c7d1415a2ff0158eec75a27d63/config/BuildSystem/config/packages/ml.py?at=master&fileviewer=file-view-default"
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            <div>  Thanks,</div>
            <div><br>
            </div>
            <div>    Matt</div>
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                        <div>  Thanks,</div>
                        <div><br>
                        </div>
                        <div>     Matt</div>
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                              color="#888888"><br>
                              -- <br>
                              Thank you very much.<br>
                              <br>
                              Yours sincerely,<br>
                              <br>
                              ==============================<wbr>==================<br>
                              TAY Wee-Beng (Zheng Weiming) 郑伟明<br>
                              Personal research webpage: <a
                                href="http://tayweebeng.wixsite.com/website"
                                rel="noreferrer" target="_blank"
                                moz-do-not-send="true">http://tayweebeng.wixsite.com/<wbr>website</a><br>
                              Youtube research showcase: <a
                                href="https://www.youtube.com/channel/UC72ZHtvQNMpNs2uRTSToiLA"
                                rel="noreferrer" target="_blank"
                                moz-do-not-send="true">https://www.youtube.com/channe<wbr>l/UC72ZHtvQNMpNs2uRTSToiLA</a><br>
                              linkedin: <a
                                href="http://www.linkedin.com/in/tay-weebeng"
                                rel="noreferrer" target="_blank"
                                moz-do-not-send="true">www.linkedin.com/in/tay-weeben<wbr>g</a><br>
                              ==============================<wbr>==================<br>
                              <br>
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                          -- <br>
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                                  <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.caam.rice.edu/%7Emk51/"
                                      target="_blank"
                                      moz-do-not-send="true">https://www.cse.buffalo.edu/~<wbr>knepley/</a><br>
                                  </div>
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                        </font></span></div>
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          <br>
          <br clear="all">
          <div><br>
          </div>
          -- <br>
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                  <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.caam.rice.edu/%7Emk51/"
                      target="_blank" moz-do-not-send="true">https://www.cse.buffalo.edu/~knepley/</a><br>
                  </div>
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