mirror of
https://git.kernel.org/pub/scm/linux/kernel/git/chenhuacai/linux-loongson
synced 2025-09-03 01:28:04 +00:00
7effbd18e4
Generated from the telemetry solution repo[1] with this command:
./generate.py <linux-repo>/tools/perf/ --telemetry-files \
../../data/pmu/cpu/neoverse/neoverse-n1.json
Since this data source now includes the SPE events for N1, it has
diverged from A76 which means the folder has to be split.
The new data also uses more fine grained grouping, but this will be
consistent for all future products. Long PublicDescriptions are now
included even for common events because this can include product
specific details. For non verbose mode the common BriefDescriptions
remain the same.
[1]: https://gitlab.arm.com/telemetry-solution/telemetry-solution
Signed-off-by: James Clark <james.clark@arm.com>
Acked-by: Ian Rogers <irogers@google.com>
Cc: Adrian Hunter <adrian.hunter@intel.com>
Cc: Alexander Shishkin <alexander.shishkin@linux.intel.com>
Cc: Ingo Molnar <mingo@redhat.com>
Cc: Jiri Olsa <jolsa@kernel.org>
Cc: John Garry <john.g.garry@oracle.com>
Cc: Leo Yan <leo.yan@linaro.org>
Cc: Mark Rutland <mark.rutland@arm.com>
Cc: Mike Leach <mike.leach@linaro.org>
Cc: Namhyung Kim <namhyung@kernel.org>
Cc: Peter Zijlstra <peterz@infradead.org>
Cc: Will Deacon <will@kernel.org>
Cc: linux-arm-kernel@lists.infradead.org
Cc: renyu.zj@linux.alibaba.com
Link: https://lore.kernel.org/r/20230320114601.524958-1-james.clark@arm.com
Signed-off-by: Arnaldo Carvalho de Melo <acme@redhat.com>
11 lines
793 B
JSON
11 lines
793 B
JSON
[
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{
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"ArchStdEvent": "STALL_FRONTEND",
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"PublicDescription": "Counts cycles when frontend could not send any micro-operations to the rename stage because of frontend resource stalls caused by fetch memory latency or branch prediction flow stalls. All the frontend slots were empty during the cycle when this event counts."
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},
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{
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"ArchStdEvent": "STALL_BACKEND",
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"PublicDescription": "Counts cycles whenever the rename unit is unable to send any micro-operations to the backend of the pipeline because of backend resource constraints. Backend resource constraints can include issue stage fullness, execution stage fullness, or other internal pipeline resource fullness. All the backend slots were empty during the cycle when this event counts."
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}
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]
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