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pigweed / third_party / android / platform / external / perfetto / cce3455341a00d08d79fa43b4096a4e4c2d6fb30
commitcce3455341a00d08d79fa43b4096a4e4c2d6fb30[log] [tgz]
authorSamuel Wu <wusamuel@google.com>Tue Nov 19 16:54:03 2024 -0800
committerSamuel Wu <wusamuel@google.com>Tue Nov 19 17:21:04 2024 -0800
tree0461c0feb522c43b463559040aadf74f41976203
parenteee42b5a6be9449b977df871c40a588fcd4e4102 [diff]
wattson: Add DSU support for VM traces

Add framework to have devfreq DSU frequencies on traces that come from
VMs, where there is no physical DSU HW to emulate. Since the DSU
frequencies are a prerequisite for power estimation on some devices,
this patch unblocks power estimation for devices emulated on VMs that
require DSU frequencies.

Test: tools/diff_test_trace_processor.py out/linux/trace_processor_shell --name-filter '.*wattson.*'
Bug: 379936540
Change-Id: Iad3882aad4929789ef83ddb34a2771fef04a39d0
Signed-off-by: Samuel Wu <wusamuel@google.com>
3 files changed
tree: 0461c0feb522c43b463559040aadf74f41976203
  1. .github/
  2. bazel/
  3. build_overrides/
  4. buildtools/
  5. debian/
  6. docs/
  7. examples/
  8. gn/
  9. include/
  10. infra/
  11. protos/
  12. python/
  13. src/
  14. test/
  15. third_party/
  16. tools/
  17. ui/
  18. .bazelignore
  19. .bazelrc
  20. .clang-format
  21. .clang-tidy
  22. .git-blame-ignore-revs
  23. .gitattributes
  24. .gitignore
  25. .gn
  26. .style.yapf
  27. Android.bp
  28. Android.bp.extras
  29. BUILD
  30. BUILD.extras
  31. BUILD.gn
  32. CHANGELOG
  33. codereview.settings
  34. DIR_METADATA
  35. heapprofd.rc
  36. LICENSE
  37. meson.build
  38. METADATA
  39. MODULE_LICENSE_APACHE2
  40. OWNERS
  41. perfetto.rc
  42. PerfettoIntegrationTests.xml
  43. persistent_cfg.pbtxt
  44. PRESUBMIT.py
  45. README.chromium
  46. README.md
  47. TEST_MAPPING
  48. traced_perf.rc
  49. WATCHLISTS
  50. WORKSPACE
README.md

Perfetto - System profiling, app tracing and trace analysis

Perfetto is a production-grade open-source stack for performance instrumentation and trace analysis. It offers services and libraries and for recording system-level and app-level traces, native + java heap profiling, a library for analyzing traces using SQL and a web-based UI to visualize and explore multi-GB traces.

See https://perfetto.dev/docs or the /docs/ directory for documentation.