Re: [PATCH v1 01/20] perf jevents: Add RAPL metrics for all Intel models

[Ian Rogers]

On Thu, Feb 29, 2024 at 12:59 PM Liang, Kan <kan.liang@xxxxxxxxxxxxxxx> wrote:
>
>
>
> On 2024-02-28 7:17 p.m., Ian Rogers wrote:
> > Add a 'cpu_power' metric group that computes the power consumption
> > from RAPL events if they are present.
> >
> > Signed-off-by: Ian Rogers <irogers@xxxxxxxxxx>
> > ---
> >  tools/perf/pmu-events/intel_metrics.py | 45 ++++++++++++++++++++++++--
> >  1 file changed, 42 insertions(+), 3 deletions(-)
> >
> > diff --git a/tools/perf/pmu-events/intel_metrics.py b/tools/perf/pmu-events/intel_metrics.py
> > index 4fbb31c9eccd..5827f555005f 100755
> > --- a/tools/perf/pmu-events/intel_metrics.py
> > +++ b/tools/perf/pmu-events/intel_metrics.py
> > @@ -1,9 +1,10 @@
> >  #!/usr/bin/env python3
> >  # SPDX-License-Identifier: (LGPL-2.1 OR BSD-2-Clause)
> > -from metric import (JsonEncodeMetric, JsonEncodeMetricGroupDescriptions, LoadEvents,
> > -                    MetricGroup)
> > +from metric import (d_ratio, has_event, Event, JsonEncodeMetric, JsonEncodeMetricGroupDescriptions,
> > +                    LoadEvents, Metric, MetricGroup, Select)
> >  import argparse
> >  import json
> > +import math
> >  import os
> >
> >  parser = argparse.ArgumentParser(description="Intel perf json generator")
> > @@ -14,7 +15,45 @@ args = parser.parse_args()
> >  directory = f"{os.path.dirname(os.path.realpath(__file__))}/arch/x86/{args.model}/"
> >  LoadEvents(directory)
> >
> > -all_metrics = MetricGroup("",[])
> > +interval_sec = Event("duration_time")
> > +
> > +def Rapl() -> MetricGroup:
> > +  """Processor socket power consumption estimate.
> > +
> > +  Use events from the running average power limit (RAPL) driver.
> > +  """
> > +  # Watts = joules/second
> > +  pkg = Event("power/energy\-pkg/")
> > +  cond_pkg = Select(pkg, has_event(pkg), math.nan)
> > +  cores = Event("power/energy\-cores/")
> > +  cond_cores = Select(cores, has_event(cores), math.nan)
> > +  ram = Event("power/energy\-ram/")
> > +  cond_ram = Select(ram, has_event(ram), math.nan)
> > +  gpu = Event("power/energy\-gpu/")
> > +  cond_gpu = Select(gpu, has_event(gpu), math.nan)
> > +  psys = Event("power/energy\-psys/")
> > +  cond_psys = Select(psys, has_event(psys), math.nan)
> > +  scale = 2.3283064365386962890625e-10
> > +  metrics = [
> > +      Metric("cpu_power_pkg", "",
> > +             d_ratio(cond_pkg * scale, interval_sec), "Watts"),
> > +      Metric("cpu_power_cores", "",
> > +             d_ratio(cond_cores * scale, interval_sec), "Watts"),
> > +      Metric("cpu_power_ram", "",
> > +             d_ratio(cond_ram * scale, interval_sec), "Watts"),
> > +      Metric("cpu_power_gpu", "",
> > +             d_ratio(cond_gpu * scale, interval_sec), "Watts"),
> > +      Metric("cpu_power_psys", "",
> > +             d_ratio(cond_psys * scale, interval_sec), "Watts"),
> > +  ]
> > +
> > +  return MetricGroup("cpu_power", metrics,
> > +                     description="Processor socket power consumption estimates")
>
> As far as I know, the RAPL counters are to monitor energy consumption
> across different domains. The scope may not always be a socket. I think
> the description may brings confusions.
> Maybe we just call it "RAPL power consumption estimates", or "Running
> Average Power Limit (RAPL) power consumption estimates".

Ack. Will fix in v2.

Thanks,
Ian

> Thanks,
> Kan
> > +
> > +
> > +all_metrics = MetricGroup("", [
> > +    Rapl(),
> > +])
> >
> >  if args.metricgroups:
> >    print(JsonEncodeMetricGroupDescriptions(all_metrics))