Re: [PATCH v1 03/20] perf jevents: Add smi metric group for Intel models

From: Ian Rogers
Date: Thu Feb 29 2024 - 19:54:29 EST


On Thu, Feb 29, 2024 at 1:09 PM Liang, Kan <kan.liang@xxxxxxxxxxxxxxx> wrote:
>
>
>
> On 2024-02-28 7:17 p.m., Ian Rogers wrote:
> > Allow duplicated metric to be dropped from json files.
> >
> > Signed-off-by: Ian Rogers <irogers@xxxxxxxxxx>
> > ---
> > tools/perf/pmu-events/intel_metrics.py | 18 +++++++++++++++++-
> > 1 file changed, 17 insertions(+), 1 deletion(-)
> >
> > diff --git a/tools/perf/pmu-events/intel_metrics.py b/tools/perf/pmu-events/intel_metrics.py
> > index 46866a25b166..20c25d142f24 100755
> > --- a/tools/perf/pmu-events/intel_metrics.py
> > +++ b/tools/perf/pmu-events/intel_metrics.py
> > @@ -2,7 +2,7 @@
> > # SPDX-License-Identifier: (LGPL-2.1 OR BSD-2-Clause)
> > from metric import (d_ratio, has_event, max, Event, JsonEncodeMetric,
> > JsonEncodeMetricGroupDescriptions, LoadEvents, Metric,
> > - MetricGroup, Select)
> > + MetricGroup, MetricRef, Select)
> > import argparse
> > import json
> > import math
> > @@ -62,9 +62,25 @@ def Rapl() -> MetricGroup:
> > description="Processor socket power consumption estimates")
> >
> >
> > +def Smi() -> MetricGroup:
> > + aperf = Event('msr/aperf/')
>
> There are CPUID enumeration for the aperf and mperf. I believe they
> should be always available for a newer bare metal. But they may not be
> enumerated in an virtualization env. Should we add a has_event() check
> before using it?

It would make sense to have the has_event so that the metric doesn't
fail in perf test. I'll add it.

Thanks,
Ian

> Thanks,
> Kan
>
> > + cycles = Event('cycles')
> > + smi_num = Event('msr/smi/')
> > + smi_cycles = Select((aperf - cycles) / aperf, smi_num > 0, 0)
> > + return MetricGroup('smi', [
> > + Metric('smi_num', 'Number of SMI interrupts.',
> > + smi_num, 'SMI#'),
> > + # Note, the smi_cycles "Event" is really a reference to the metric.
> > + Metric('smi_cycles',
> > + 'Percentage of cycles spent in System Management Interrupts.',
> > + smi_cycles, '100%', threshold=(MetricRef('smi_cycles') > 0.10))
> > + ])
> > +
> > +
> > all_metrics = MetricGroup("", [
> > Idle(),
> > Rapl(),
> > + Smi(),
> > ])
> >
> > if args.metricgroups: