~/talk

Data Access Monitoring Operator (DAMO): User-Space Tool/Python Library for Access-Aware Profiling and Optimization of Your Linux Systems

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DAMON kernel subsystem provides region-based access sampling and adaptive region merging; DAMO is a Python user-space tool and library (PyPI, works on kernels 5.15+) that sends JSON parameters to DAMON and exposes commands: record (executes workload and saves heatmap), show (live snapshots filtered by access rate/age), and tune (apply DAMOS operation schemes like pageout, thp collapse, or prioritize on the active list). Reported results include up to 90% memory overhead reduction, 2.5× speedup under memory pressure, and 76% THP overhead cut while retaining 51% performance gain.

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  1. 0:00Introduction
  2. 1:03Introduction
  3. 1:47Access awareness in memory
  4. 3:58Hierarchical memory challenges
  5. 5:42Memory access optimizations
  6. 7:30Introducing the Data Access Monitoring Operator
  7. 8:58DAMO usage basics
  8. 10:04Recording access patterns
  9. 13:55Offline profiling insights
  10. 15:44Live demo snapshots
  11. 20:04Automating reclamation
  12. 22:11Real-world DAMO optimizations
  13. 23:36DAMO and Daemon interaction
  14. 25:01DAMO-Daemon communication
  15. 29:24DAMO monitoring parameters
  16. 33:02Target configuration
  17. 34:54Frequency monitoring
  18. 36:59Adaptive region adjustment
  19. 39:31Overhead and accuracy tuning
  20. 39:54Memory management with DAMO
  21. 42:26DAMO production features
  22. 44:13DAMO community opportunities
  23. 47:07Conclusion
  24. 47:55Q&A
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