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Enhancing High-Performance Computing with the PERC Performance Tool Suite

The PERC Performance Tool Suite, showcased by Evan Welbourne at the NERSC/LBNL NUG Meeting, focuses on modern requirements for high-performance computing (HPC). This presentation covers the significant advancements and implementations of the Performance API (PAPI), Dyninst, and the SvPablo framework, facilitating instrumented source code and performance analysis. The suite enables users to visualize and collect performance data effectively, optimizing execution on parallel architectures. Attendees will learn about interactive instrumentation, program compilation, and comprehensive performance visualization techniques, paving the way for future advances in HPC.

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Enhancing High-Performance Computing with the PERC Performance Tool Suite

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  1. SvPablo and the PERC Performance Tool Suite Evan Welbourne, NERSC/LBNLNUG Meeting, June 4th, 2002

  2. Credit / References

  3. The Changing face ofHigh Performance Computing

  4. Requirements for the Success of a Modern Performance Toolkit

  5. The PERC SciDAC Project

  6. PERC Participants

  7. The PERC Performance Tool Suite

  8. PAPI – Performance API

  9. Dyninst API

  10. Performance Bounds

  11. Sigma

  12. SvPablo

  13. SvPablo Components Instrumented source code Virtue time tunnel display Autopilot Lib PAPI Lib GUI Compiler AP sensor data collector SvPablo data capture library Source Code Instrumentation Instrumented object code Source Code Per-task performance files Linker Execution on parallel architecture Performance data visualization Instrumented executable Performance file SvPabloCombine

  14. SvPablo Model PROJECT . . . Source files Performance contexts . . . Performance data Performance data

  15. Using SvPablo at NERSC

  16. The SvPablo Main Window

  17. Project Menu

  18. New Project Dialog Box

  19. Performance Context Dialog Box

  20. Interactive Instrumentation and Analysis

  21. Step 1: Source Code Instrumentation Instrumented source code Virtue time tunnel display Autopilot Lib PAPI Lib GUI Compiler AP sensor data collector SvPablo data capture library Source Code Instrumentation Instrumented object code Source Code Per-task performance files Linker Execution on parallel architecture Performance data visualization Instrumented executable Performance file SvPabloCombine

  22. Source Code Instrumentation

  23. Interactive Instrumentation instrumentable constructs ( function calls and outer loops )

  24. Line by Line Instrumentation Instrumentable lines Instrumented lines

  25. Line Instrumentation – Multiple Events

  26. Line Instrumentation – Multiple Events

  27. Automatic Instrumentation

  28. Step 2: Program Compilation and Execution Instrumented source code Virtue time tunnel display Autopilot Lib PAPI Lib GUI Compiler AP sensor data collector SvPablo data capture library Source Code Instrumentation Instrumented object code Source Code Per-task performance files Linker Execution on parallel architecture Performance data visualization Instrumented executable Performance file SvPabloCombine

  29. Changes from Non-Instrumented Case

  30. Interface to PAPI Hardware Performance Counters

  31. Step 3: Performance Data Visualization Instrumented source code Virtue time tunnel display Autopilot Lib PAPI Lib GUI Compiler AP sensor data collector SvPablo data capture library Source Code Instrumentation Instrumented object code Source Code Per-task performance files Linker Execution on parallel architecture Performance data visualization Instrumented executable Performance file SvPabloCombine

  32. Performance Data Visualization

  33. Performance Visualization count, exclusive duration

  34. Function Visualization selected function

  35. Performance Metric Selection

  36. Source Code Visualization metrics

  37. Multiple Events Metric Box mark for multiple events

  38. Performance Statistics

  39. The Roadmap for the PERC Tool Suite

  40. The Roadmap for the PERC Tool Suite

  41. The Roadmap for the PERC Tool Suite

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