Open MPI
v5.0.x
  • 1. Quick start
  • 2. Getting help
  • 3. Release notes
  • 4. Building and installing Open MPI
  • 5. Open MPI-specific features
  • 6. Validating your installation
  • 7. Version numbers and compatibility
  • 8. The Modular Component Architecture (MCA)
  • 9. Building MPI applications
  • 10. Launching MPI applications
  • 11. Run-time operation and tuning MPI applications
    • 11.1. Environment variables set for MPI applications
    • 11.2. Networking support
    • 11.3. Running multi-threaded MPI applications
    • 11.4. Dynamically loading libmpi at runtime
    • 11.5. Calling fork(), system(), or popen() in MPI processes
    • 11.6. Fault tolerance
    • 11.7. Large Clusters
    • 11.8. Processor and memory affinity
    • 11.9. MPI-IO tuning options
    • 11.10. Benchmarking Open MPI applications
    • 11.11. Building heterogeneous MPI applications
  • 12. Debugging Open MPI Parallel Applications
  • 13. Developer’s guide
  • 14. Contributing to Open MPI
  • 15. License
  • 16. History of Open MPI
  • 17. News
  • 18. Open MPI manual pages
  • 19. OpenSHMEM manual pages
Open MPI
  • 11. Run-time operation and tuning MPI applications
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11. Run-time operation and tuning MPI applications

Once your MPI application is running, there are many different components that can be tuned to affect behavior at run time.

  • 11.1. Environment variables set for MPI applications
  • 11.2. Networking support
  • 11.3. Running multi-threaded MPI applications
  • 11.4. Dynamically loading libmpi at runtime
  • 11.5. Calling fork(), system(), or popen() in MPI processes
  • 11.6. Fault tolerance
  • 11.7. Large Clusters
  • 11.8. Processor and memory affinity
  • 11.9. MPI-IO tuning options
  • 11.10. Benchmarking Open MPI applications
  • 11.11. Building heterogeneous MPI applications
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