<br />Hi,<div><br /></div><div>As Frederick mentioned, for a proper analysis one would need the timing report at the end of the output. </div><div>You could speed up the calculation by increasing EPS_DEFAULT (10^-10) </div><div>I would also set CALCULATE_C9_TERM to false. </div><div>Kind regards</div><div>Marcella</div><div><div><br /></div></div><div class="gmail_quote"><div dir="auto" class="gmail_attr">On Monday, April 6, 2026 at 8:42:29 AM UTC+2 lagasco...@gmail.com wrote:<br/></div><blockquote class="gmail_quote" style="margin: 0 0 0 0.8ex; border-left: 1px solid rgb(204, 204, 204); padding-left: 1ex;"><div dir="ltr">Good evening,<br>here attached input and output of my ai-md calculation. In this case, 4 nodes with 16 processors have been used (the ones with 52 priocessors are non available at the moment). Moreover, I'm using the version 2025.1 on a cluster (CPU model name Intel(R) Xeon(R) CPU E5-2630 v3 @ 2.40GHz).<br><br>Best regards<br>Lorenzo Lagasco</div><br><div class="gmail_quote"></div><div class="gmail_quote"><div dir="ltr" class="gmail_attr">Il giorno sab 4 apr 2026 alle ore 20:38 Frederick Stein <<a href data-email-masked rel="nofollow">f.s...@hzdr.de</a>> ha scritto:<br></div></div><div class="gmail_quote"><blockquote class="gmail_quote" style="margin:0px 0px 0px 0.8ex;border-left:1px solid rgb(204,204,204);padding-left:1ex"><div>Dear Lorenzo,</div><div>Sorry, I forgot about your second question. Others may correct me if necessary. I can only guess. Can you run 2-3 MD steps and send us the timing report at the end of the CP2K output file? Do you run with 52 cores or do you use less? What hardware are you running on and which software stack do you use? Which version of CP2K are you talking about?</div><div>Usually, standard-DFT-calculations are most performant if the number of MPI ranks is a square number and you use at most 2 OpenMP threads per MPI rank.</div><div>Best,</div><div>Frederick</div><br><div class="gmail_quote"><div dir="auto" class="gmail_attr">Lorenzo Lagasco schrieb am Samstag, 4. April 2026 um 19:25:02 UTC+2:<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 dir="ltr">Good afternoon,<br>thanks for the information!
In the meantime, I’d like to take the opportunity to ask if you also have any advice regarding my second question.
<br>Best regards,<br>Lorenzo Lagasco</div><br><div class="gmail_quote"></div><div class="gmail_quote"><div dir="ltr" class="gmail_attr">Il giorno sab 4 apr 2026 alle ore 11:18 Frederick Stein <<a rel="nofollow">f.s...@hzdr.de</a>> ha scritto:<br></div></div><div class="gmail_quote"><blockquote class="gmail_quote" style="margin:0px 0px 0px 0.8ex;border-left:1px solid rgb(204,204,204);padding-left:1ex"><div>Dear Lorenzo,</div><div>It is highly recommended to perform hybrid calculations using the ADMM approach (<a href="https://manual.cp2k.org/trunk/CP2K_INPUT/FORCE_EVAL/DFT/AUXILIARY_DENSITY_MATRIX_METHOD.html" rel="nofollow" target="_blank" data-saferedirecturl="https://www.google.com/url?hl=en&q=https://manual.cp2k.org/trunk/CP2K_INPUT/FORCE_EVAL/DFT/AUXILIARY_DENSITY_MATRIX_METHOD.html&source=gmail&ust=1775552606927000&usg=AOvVaw16PEcBiNmNJSMzqHBhTysI">https://manual.cp2k.org/trunk/CP2K_INPUT/FORCE_EVAL/DFT/AUXILIARY_DENSITY_MATRIX_METHOD.html</a> and <a href="https://manual.cp2k.org/trunk/methods/dft/hartree-fock/admm.html" rel="nofollow" target="_blank" data-saferedirecturl="https://www.google.com/url?hl=en&q=https://manual.cp2k.org/trunk/methods/dft/hartree-fock/admm.html&source=gmail&ust=1775552606927000&usg=AOvVaw3CkONyPkJ8C7ZfOnbvFMKG">https://manual.cp2k.org/trunk/methods/dft/hartree-fock/admm.html</a>). You will need to choose suitable fitting basis sets (BASIS AUX_FIT <basis set name>) in the respective kind sections usually from BASIS_ADMM or BASIS_ADMM_UZH. This should accelerate your calculations significantly.</div><div>Regards,</div><div>Frederick</div><br><div class="gmail_quote"><div dir="auto" class="gmail_attr">Lorenzo Lagasco schrieb am Freitag, 3. April 2026 um 06:19:22 UTC+2:<br></div><blockquote class="gmail_quote" style="margin:0px 0px 0px 0.8ex;border-left:1px solid rgb(204,204,204);padding-left:1ex"><p>Hello everyone,<br>I'm a new cp2k user and I have a couple of questions, not strictly related to each other:</p>
<ol>
<li>
I have written an input file for a band structure calculation of a system consisting of delafossite CuAlO₂ with an organic dye (coumarin 343) anchored on its surface, using the HSE06 level of theory. However, the calculation appears to be unusually slow (using 4 nodes with 52 processors each, after about 2 hours it has not even completed the first SCF step). I would like to ask whether it would be possible to get feedback on how to optimize the input file, or if there might be some incorrectly set parameters. I have attached both the input file and the xyz file of the system geometry.
</li>
<li>
At the same time, I am working on NVT CP2K dynamics at the PBE+D3 level of theory for aluminosilicate nanosheets in water of different sizes (the simulation box ranges from about 719 to 900 atoms). Currently, the simulations proceed at a speed of about 25 seconds per MD step (using 1 node with 52 processors for each simulation). Since I need a trajectory of 60 ps with a timestep of 0.5 fs, I would like to ask whether it is possible to improve the computational performance. I am also attaching the input file in this case md-GPW.inp<br><br>Thanks for the help!</li></ol></blockquote></div>
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