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<pre><codeclass="sh hljs">srun -n4 julia --project <my_mpi_script.jl></code></pre>
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<p>If you do not want to use an interactive session you can use the <code>sbatch</code> command to launch an MPI job remotely on daint. Example of a <code>sbatch_mpi_daint.sh</code> you can launch (without need of an allocation) as <ahref="https://github.com/eth-vaw-glaciology/course-101-0250-00/blob/main/scripts/l8_scripts/l8_sbatch_mpi_daint.sh"><code>sbatch sbatch_mpi_daint.sh</code></a>:</p>
<divclass=messg>The scripts above can be found in the <ahref="https://github.com/eth-vaw-glaciology/course-101-0250-00/blob/main/scripts/l8_scripts/">scripts</a> folder.</div></div>
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<h4id=cuda-aware_mpi_on_piz_daint><ahref="#cuda-aware_mpi_on_piz_daint" class=header-anchor>CUDA-aware MPI on Piz Daint</a></h4>
<divclass=messg>There is currently an issue on the Daint software stack with CuDA-aware MPI. For now, make sure <strong>not to run</strong> with CUDA-aware MPI, i.e., having both <code>MPICH_RDMA_ENABLED_CUDA</code> and <code>IGG_CUDAAWARE_MPI</code> set to 0.</div></div>
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<divclass=note><divclass=title>💡 Note</div>
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<divclass=messg>The scripts above can be found in the <ahref="https://github.com/eth-vaw-glaciology/course-101-0250-00/blob/main/scripts/l8_scripts/">scripts</a> folder.</div></div>
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