perf pmu-events: Parallelize JSON and metric pre-computation in jevents.py

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.

This accelerates the JSON parsing phase by over 10x (from ~3.0s down
to ~290ms), reducing overall jevents.py execution time by 3.5x (from
~3.56s down to ~1.03s).

Tested-by: James Clark <james.clark@linaro.org>
Assisted-by: Gemini:gemini-3.1-pro-preview
Signed-off-by: Ian Rogers <irogers@google.com>
Signed-off-by: Namhyung Kim <namhyung@kernel.org>

1 files changed, 32 insertions, 4 deletions

diff --git a/tools/perf/pmu-events/jevents.py b/tools/perf/pmu-events/jevents.py
index 5c15485d695a..860027bb71b2 100755
--- a/tools/perf/pmu-events/jevents.py
+++ b/tools/perf/pmu-events/jevents.py
@@ -464,8 +464,8 @@ class JsonEvent:
     return f'{make_comment(s)}\t{{ { _bcs.offsets[s] } }},\n'
 
 
-@lru_cache(maxsize=None)
-def read_json_events(path: str, topic: str) -> Sequence[JsonEvent]:
+_json_cache = {}
+def _read_json_events_impl(path: str, topic: str) -> Sequence[JsonEvent]:
   """Read json events from the specified file."""
   try:
     events = json.load(open(path), object_hook=JsonEvent)
@@ -481,12 +481,16 @@ def read_json_events(path: str, topic: str) -> Sequence[JsonEvent]:
   if updates:
     for event in events:
       if event.metric_name in updates:
-        # print(f'Updated {event.metric_name} from\n"{event.metric_expr}"\n'
-        #       f'to\n"{updates[event.metric_name]}"')
         event.metric_expr = updates[event.metric_name]
 
   return events
 
+def read_json_events(path: str, topic: str) -> Sequence[JsonEvent]:
+  key = (path, topic)
+  if key not in _json_cache:
+    _json_cache[key] = _read_json_events_impl(path, topic)
+  return _json_cache[key]
+
 def preprocess_arch_std_files(archpath: str) -> None:
   """Read in all architecture standard events."""
   global _arch_std_events
@@ -1446,6 +1450,14 @@ const char *describe_metricgroup(const char *group)
 }
 """)
 
+def _parallel_read_json_events(task: Tuple[str, str]) -> Tuple[str, str, Sequence[JsonEvent]]:
+  path, topic = task
+  return path, topic, _read_json_events_impl(path, topic)
+
+def _init_worker(std_events: dict) -> None:
+  global _arch_std_events
+  _arch_std_events = std_events
+
 def main() -> None:
   global _args
 
@@ -1524,9 +1536,25 @@ struct pmu_table_entry {
     raise IOError(f'Missing architecture directory \'{_args.arch}\'')
 
   archs.sort()
+  import concurrent.futures
+  tasks = []
+  def collect_json(parents: Sequence[str], item: os.DirEntry) -> None:
+    if len(parents) == 0:
+      return
+    if item.is_file() and item.name.endswith('.json') and not item.name.endswith('metricgroups.json'):
+      tasks.append((item.path, get_topic(item.name)))
+
   for arch in archs:
     arch_path = f'{_args.starting_dir}/{arch}'
     preprocess_arch_std_files(arch_path)
+    ftw(arch_path, [], collect_json)
+
+  with concurrent.futures.ProcessPoolExecutor(initializer=_init_worker, initargs=(_arch_std_events,)) as executor:
+    for path, topic, events in executor.map(_parallel_read_json_events, tasks):
+      _json_cache[(path, topic)] = events
+
+  for arch in archs:
+    arch_path = f'{_args.starting_dir}/{arch}'
     ftw(arch_path, [], preprocess_one_file)
 
   assert _bcs is not None