Best practices for efficient HPC performance with large models
Best practices for efficient HPC performance with large models
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The talk covers: *Prerequisites: MPI – HP or Intel *How to set up HPC: solver handler, number of CPUs, and DMP *Handling of large models: DM Prep in v14.5; mechanical filters, tags and named selections *Mesh controls for large models: curvature and proximity *How to cut analysis time: Proper contact and analysis settings *Evaluation of results: results tracker; post command snippets; max tag adjust to visible