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    Hello,<br>
    <br>
    Well , I assumed CP2K would do something similar. Considering that
    you are able to use Gromacs on your workstation without any issue,
    your system seems perfectly setup for CUDA. Let's then wait for a
    more experienced user to address this issue. I am also looking
    forward to it.<br>
    <br>
    Regards,<br>
    Pierre<br>
    <br>
    <div class="moz-cite-prefix">On 20/09/2019 16:54, Nikhil Maroli
      wrote:<br>
    </div>
    <blockquote type="cite"
cite="mid:CA...@mail.gmail.com">
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      <div dir="ltr">
        <div>Hello,</div>
        <div><br>
        </div>
        Im using GROMACS with GPU since 2014. Running Cp2k doest shows
        any information about GPU. Im using ubuntu 16 LTS</div>
      <br>
      <div class="gmail_quote">
        <div dir="ltr" class="gmail_attr">On Fri, Sep 20, 2019 at 9:17
          PM Pierre Cazade <<a
            href="mailto:pierre.a...@gmail.com"
            moz-do-not-send="true">pierre.a...@gmail.com</a>>
          wrote:<br>
        </div>
        <blockquote class="gmail_quote" style="margin:0px 0px 0px
          0.8ex;border-left:1px solid rgb(204,204,204);padding-left:1ex">
          <div bgcolor="#FFFFFF"> Hi Nikhil,<br>
            <br>
            This is an excellent question. I did not try the GPU version
            of CP2K yet. I am actually trying to compile it on the
            cluster that I am using.<br>
            <br>
            Normally, you only need to install CUDA libraries and set up
            the environment variables properly. Then, the executable
            detects the presence of the GPU automatically, provided you
            have installed the driver from nvidia. At least, this is how
            gromacs behaves, for example. Which linux distribution are
            you using?<br>
            <br>
            If you use the GPU, avoid using too many threads. Ideally,
            one per GPU.<br>
            <br>
            Regards,<br>
            Pierre<br>
            <br>
            PS: Regarding your previous post: rather than "mpirun -n 2",
            try "mpirun -np 2". Finally, on a multiple node calculation
            on a cluster, you can use "mpirun -np 8 -ppn 2". The "-np"
            tells mpirun the total number of MPI threads requested and
            the "-ppn" tells how many threads per node you want. In the
            present example, I am using 4 nodes and I want 2 MPI threads
            for each of them, so a total of 8. Of course, don't forget
            to set the OMP_NUM_TREADS as well. <br>
            <br>
            <br>
            <br>
            <div class="gmail-m_-7961939612517273423moz-cite-prefix">On
              20/09/2019 16:29, Nikhil Maroli wrote:<br>
            </div>
            <blockquote type="cite">
              <div dir="auto">Thank you very much for your reply.
                <div dir="auto">Could you please tell me how to use GPU
                  in cp2k?</div>
                <div dir="auto">I have installed all the libraries and
                  compiled with cuda. I couldn't find any instructions
                  to assign GPU for the calculations.</div>
              </div>
              <br>
              <div class="gmail_quote">
                <div dir="ltr" class="gmail_attr">On Fri, Sep 20, 2019,
                  8:15 PM Pierre Cazade <<a
                    href="mailto:pierre.a...@gmail.com"
                    target="_blank" moz-do-not-send="true">pierre.a...@gmail.com</a>>
                  wrote:<br>
                </div>
                <blockquote class="gmail_quote" style="margin:0px 0px
                  0px 0.8ex;border-left:1px solid
                  rgb(204,204,204);padding-left:1ex">
                  <div bgcolor="#FFFFFF"> Hello Nikhil,<br>
                    <br>
                    Withe command "mpirun -n 42 cp2k.pop -i inp.inp -o
                    -out.out", you are requesting 42 MPI threads and not
                    42 OpenMP threads. MPI usually relies on replicated
                    data which means that, for a poorly program
                    software, it will request a total amount of memory
                    which the amount of memory required by a scalar
                    execution times the number of threads. This can very
                    quickly become problematic, in particular for QM
                    calculations. OpenMP, however relies on shared
                    memory, the data is normally not replicated but
                    shared between threads and therefore, in an ideal
                    scenario, the amount of memory needed for 42 OpenMP
                    threads is the same as a single one.<br>
                    <br>
                    This might explains why you calculation freezes. You
                    are out of memory. On your workstation, you should
                    only use the executable "cp2k.ssmp" which is the
                    OpenMP version. Then you don't need the mpirun
                    command:<br>
                    <br>
                    cp2k.ssmp -i inp.inp -o -out.out<br>
                    <br>
                    To control the number of OpenMP threads, set the env
                    variable: OMP_NUM_THREADS, e.g. in bash, export
                    OMP_NUM_THREADS=48<br>
                    <br>
                    Now, if you need to balance between MPI and OpenMP,
                    you should use the executable named cp2k.psmp. Here
                    is such an example:<br>
                    <br>
                    export OMP_NUM_THREADS=24<br>
                    mpirun -n 2 cp2k.psmp -i inp.inp -o -out.out<br>
                    <br>
                    In this example, I am requesting two MPI threads and
                    each of them can use up to 24 OpenMP threads.<br>
                    <br>
                    Hope this clarifies things for you.<br>
                    <br>
                    Regards,<br>
                    Pierre<br>
                    <br>
                    <div
class="gmail-m_-7961939612517273423m_-6364226107811981161moz-cite-prefix">On
                      20/09/2019 14:09, Nikhil Maroli wrote:<br>
                    </div>
                    <blockquote type="cite">
                      <div dir="ltr">Dear all,
                        <div><br>
                        </div>
                        <div>I have installed all the versions of CP2K
                          in my workstation with 2 x 12 core processor,
                          total thread=48</div>
                        <div><br>
                        </div>
                        <div>I wanted to run cp2k in parallel using 42
                          threads, can anyone share the commands that i
                          can use.</div>
                        <div><br>
                        </div>
                        <div>I have tried </div>
                        <div><br>
                        </div>
                        <div>mpirun -n 42 cp2k.pop -i inp.inp -o
                          -out.out</div>
                        <div><br>
                        </div>
                        <div>After this command there is a rise in
                          memory to 100 % and the whole system freezes.
                          (i have 128GB ram).</div>
                        <div><br>
                        </div>
                        <div>Any suggestion will be greatly appreciated,</div>
                      </div>
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                    <br>
                    <pre class="gmail-m_-7961939612517273423m_-6364226107811981161moz-signature" cols="72">-- 
Dr Pierre Cazade, PhD
AD3-023, Bernal Institute,
University of Limerick,
Plassey Park Road,
Castletroy, co. Limerick,
Ireland</pre>
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            <br>
            <pre class="gmail-m_-7961939612517273423moz-signature" cols="72">-- 
Dr Pierre Cazade, PhD
AD3-023, Bernal Institute,
University of Limerick,
Plassey Park Road,
Castletroy, co. Limerick,
Ireland</pre>
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      <div dir="ltr" class="gmail_signature">
        <div dir="ltr">
          <div>
            <div dir="ltr">
              <div>Regards,</div>
              Nikhil Maroli
              <div><br>
              </div>
            </div>
          </div>
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    <br>
    <pre class="moz-signature" cols="72">-- 
Dr Pierre Cazade, PhD
AD3-023, Bernal Institute,
University of Limerick,
Plassey Park Road,
Castletroy, co. Limerick,
Ireland</pre>
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