https://github.com/balazs-benics-sonarsource created https://github.com/llvm/llvm-project/pull/145500
None From 274a38f83b2c5c81968de865403cf114fc9550c0 Mon Sep 17 00:00:00 2001 From: Balazs Benics <balazs.ben...@sonarsource.com> Date: Tue, 24 Jun 2025 13:42:42 +0200 Subject: [PATCH] [analyzer][docs] Mention perfetto for visualizing trace JSONs --- clang/docs/analyzer/developer-docs/PerformanceInvestigation.rst | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/clang/docs/analyzer/developer-docs/PerformanceInvestigation.rst b/clang/docs/analyzer/developer-docs/PerformanceInvestigation.rst index ca3a56828209b..5d662cfb65be2 100644 --- a/clang/docs/analyzer/developer-docs/PerformanceInvestigation.rst +++ b/clang/docs/analyzer/developer-docs/PerformanceInvestigation.rst @@ -10,7 +10,7 @@ Performance analysis using ``-ftime-trace`` You can add the ``-ftime-trace=file.json`` option to break down the analysis time into individual entry points and steps within each entry point. You can explore the generated JSON file in a Chromium browser using the ``chrome://tracing`` URL, -or using `speedscope <https://speedscope.app>`_. +or using `perfetto <https://ui.perfetto.dev>`_ or `speedscope <https://speedscope.app>`_. Once you narrow down to specific analysis steps you are interested in, you can more effectively employ heavier profilers, such as `Perf <https://perfwiki.github.io/main/>`_ and `Callgrind <https://valgrind.org/docs/manual/cl-manual.html>`_. _______________________________________________ cfe-commits mailing list cfe-commits@lists.llvm.org https://lists.llvm.org/cgi-bin/mailman/listinfo/cfe-commits
