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Transactional Event Profiling in a Best Effort HTM

Transactional Event Profiling in a Best Effort HTM. Matthew Gaudet Supervisor: José Nelson Amaral (University of Alberta) Collaborators: Amy Wang (IBM Toronto), Peng Wu (IBM TJ Watson) . The Story. We need a pair of: . X-Ray Specs. Event Profiling. Analyzers. Program. Log File.

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Transactional Event Profiling in a Best Effort HTM

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  1. Transactional Event Profiling in a Best Effort HTM Matthew Gaudet Supervisor: José Nelson Amaral (University of Alberta) Collaborators: Amy Wang (IBM Toronto), Peng Wu (IBM TJ Watson)

  2. The Story.

  3. We need a pair of: X-Ray Specs

  4. Event Profiling Analyzers Program Log File Runtime Instrumented Hardware

  5. Analyzers Limited only by the power of your Imagination!

  6. Peeking into execution: 50000 cycles = 0.00003125 seconds

  7. Seeing Rates As they change

  8. Which transactions are active?

  9. Real TX Length Distributions

  10. Details matter LR Mode SR Mode

  11. Probe effects

  12. Using this Want to improve performance on BG/Q (Judicious) Serialization When? Too little? Bad performance Too Much? Bad performance Solution: Runtime Adaptation

  13. Understanding What’s going on?

  14. Solution: Correct decisions requires dynamic information

  15. Future Work • The ability to zoom and explore log files, like Visualizing Transactions • Support for longer, larger programs: In memory compression, partial log-dumps.

  16. Conclusion • Event Logging provides a useful view of transactional execution

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