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From: Namhyung Kim <namhyung@kernel.org>
To: Peter Zijlstra <peterz@infradead.org>, Ingo Molnar <mingo@redhat.com>, 
 Arnaldo Carvalho de Melo <acme@kernel.org>, Jiri Olsa <jolsa@kernel.org>, 
 Adrian Hunter <adrian.hunter@intel.com>, 
 James Clark <james.clark@linaro.org>, 
 Dapeng Mi <dapeng1.mi@linux.intel.com>, linux-perf-users@vger.kernel.org, 
 linux-kernel@vger.kernel.org, Ian Rogers <irogers@google.com>
In-Reply-To: <20260722173138.720586-1-irogers@google.com>
References: <20260722173138.720586-1-irogers@google.com>
Subject: Re: [PATCH v1] perf pmu-events: Parallelize JSON and metric
 pre-computation in jevents.py
Message-Id: <178504343734.1075259.10134324476190064322.b4-ty@kernel.org>
Date: Sat, 25 Jul 2026 22:23:57 -0700
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On Wed, 22 Jul 2026 10:31:38 -0700, Ian Rogers wrote:
> Currently, jevents.py parses hundreds of JSON event and metric files
> sequentially across all CPU architectures during Kbuild startup,
> taking ~3.5 seconds of single-core execution time.
> 
> Refactor jevents.py to pre-populate its internal JSON AST cache in
> parallel across all available CPU cores using
> ProcessPoolExecutor. First gather all the paths with ftw and
> collect_json, then spawn _parallel_read_json_events that starts
> workers to just read the json events. Define the worker process
> initializer _init_worker so that _arch_std_events is available under
> spawn multiprocessing semantics.
> 
> [...]
Applied to perf-tools-next, thanks!

Best regards,
Namhyung