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flutter / third_party / perfetto / 1c92a3c4b57e588e2ff4785aa05162f096adc227
commit1c92a3c4b57e588e2ff4785aa05162f096adc227[log] [tgz]
authorSamuel Wu <wusamuel@google.com>Fri Jul 19 11:59:37 2024 -0700
committerSamuel Wu <wusamuel@google.com>Wed Jul 24 10:26:46 2024 -0700
treee5774c1054cffde28ebbc6a359e1419decccb18e
parentbca707edfa059c592e3dd11e59aada718d5aeb2a [diff]
ui: Improve runtime of CPU by thread/process

Improve UI runtime of "CPU by thread" and "CPU by process" by doing the
thread/process association onetime upfront, instead of re-generating the
table every iteration a UI selection changes.

UI Profiling (cumulative sum):
  CPU by thread: ~7s -> ~6s
  CPU by process: ~10s -> ~7s
  Wattson by thread: ~16s -> ~15s
  Wattson by process: ~30s -> ~30s

Bug: 354256369
Change-Id: I931b4ec2098a154658d412d2315bd0cd278a3aa7
Signed-off-by: Samuel Wu <wusamuel@google.com>
6 files changed
tree: e5774c1054cffde28ebbc6a359e1419decccb18e
  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.