I see that you used 3 GPU and 3 MPI as you posted commands on GitHub as below
command : which relion_refine_mpi --continue Refine3D/job006/run_it000_optimiser.star --o Refine3D/job008/run --dont_combine_weights_via_disc --no_parallel_disc_io --preread_images --pool 3 --pad 1 --particle_diameter 160 --j 12 --gpu "0,1,2" --pipeline_control Refine3D/job008/ I guess you can use either 2 or all 4 GPUs (No of MPI 3 if using 2 GPU or 5 if using all 4 GPU). I hope this helps! Best, Rajiv Ranjan Singh On Fri, Dec 22, 2023 at 1:31 PM Srivastava, Dhiraj < dhiraj-srivast...@uiowa.edu> wrote: > Hi > I am trying to use relion and I am getting error when trying to use mpi > (for 3d classification and 3D auto-refine). > > > ERROR: out of memory in > /home/lvantol/relion5/relion/src/acc/cuda/custom_allocator.cuh at line 436 > (error-code 2) > > in: /home/lvantol/relion5/relion/src/acc/cuda/cuda_settings.h, line 65 > > ERROR: > > A GPU-function failed to execute. > > > 2D classification is working fine with significant GPU usage. I tried 3 > different versions (4, 4 beta and 5 beta), one installed by vendor (Exxact) > and all have the same issue. I am able to do 3D auto-refine and 3D > classification on the same data set using our cluster without any problem. > did anyone encounter a similar issue earlier? How can I fix this problem? > > > Thank you > > Dhiraj > > > > ------------------------------ > > To unsubscribe from the CCP4BB list, click the following link: > https://www.jiscmail.ac.uk/cgi-bin/WA-JISC.exe?SUBED1=CCP4BB&A=1 > ######################################################################## To unsubscribe from the CCP4BB list, click the following link: https://www.jiscmail.ac.uk/cgi-bin/WA-JISC.exe?SUBED1=CCP4BB&A=1 This message was issued to members of www.jiscmail.ac.uk/CCP4BB, a mailing list hosted by www.jiscmail.ac.uk, terms & conditions are available at https://www.jiscmail.ac.uk/policyandsecurity/
