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Message-ID: <CAP-5=fV0WSTK=MT6K2nqsqYT6xCTg7Pv_rXahHFeRhV0ZHCiEQ@mail.gmail.com>
Date: Wed, 30 Nov 2022 10:58:37 -0800
From: Ian Rogers <irogers@...gle.com>
To: Jing Zhang <renyu.zj@...ux.alibaba.com>
Cc: John Garry <john.g.garry@...cle.com>,
Xing Zhengjun <zhengjun.xing@...ux.intel.com>,
Will Deacon <will@...nel.org>,
James Clark <james.clark@....com>,
Mike Leach <mike.leach@...aro.org>,
Leo Yan <leo.yan@...aro.org>,
linux-arm-kernel@...ts.infradead.org,
linux-perf-users@...r.kernel.org, linux-kernel@...r.kernel.org,
Peter Zijlstra <peterz@...radead.org>,
Ingo Molnar <mingo@...hat.com>,
Arnaldo Carvalho de Melo <acme@...nel.org>,
Mark Rutland <mark.rutland@....com>,
Alexander Shishkin <alexander.shishkin@...ux.intel.com>,
Jiri Olsa <jolsa@...nel.org>,
Namhyung Kim <namhyung@...nel.org>,
Andrew Kilroy <andrew.kilroy@....com>,
Shuai Xue <xueshuai@...ux.alibaba.com>,
Zhuo Song <zhuo.song@...ux.alibaba.com>
Subject: Re: [PATCH v3 5/6] perf vendor events arm64: Add PE utilization
metrics for neoverse-n2
On Thu, Nov 24, 2022 at 9:15 AM Jing Zhang <renyu.zj@...ux.alibaba.com> wrote:
>
> Add PE utilization related metrics.
>
> Signed-off-by: Jing Zhang <renyu.zj@...ux.alibaba.com>
> ---
> .../arch/arm64/arm/neoverse-n2/metrics.json | 45 ++++++++++++++++++++++
> 1 file changed, 45 insertions(+)
>
> diff --git a/tools/perf/pmu-events/arch/arm64/arm/neoverse-n2/metrics.json b/tools/perf/pmu-events/arch/arm64/arm/neoverse-n2/metrics.json
> index 23c7d62..7b54819 100644
> --- a/tools/perf/pmu-events/arch/arm64/arm/neoverse-n2/metrics.json
> +++ b/tools/perf/pmu-events/arch/arm64/arm/neoverse-n2/metrics.json
> @@ -189,5 +189,50 @@
> "MetricGroup": "Branch",
> "MetricName": "branch_miss_pred_rate",
> "ScaleUnit": "100%"
> + },
> + {
> + "MetricExpr": "instructions / CPU_CYCLES",
> + "PublicDescription": "The average number of instructions executed for each cycle.",
> + "BriefDescription": "Instructions per cycle",
> + "MetricGroup": "PEutilization",
> + "MetricName": "ipc"
> + },
A related useful metric is percentage of peak, so if the peak IPC is 8
(usually a constant related to the number of functional units) then
you can just compute the ratio of IPC with this.
> + {
> + "MetricExpr": "INST_RETIRED / CPU_CYCLES",
> + "PublicDescription": "Architecturally executed Instructions Per Cycle (IPC)",
> + "BriefDescription": "Architecturally executed Instructions Per Cycle (IPC)",
The duplicated descriptions are unnecessary. Drop the public one for
consistency with what we do for Intel:
https://github.com/intel/perfmon/blob/main/scripts/create_perf_json.py#L299
> + "MetricGroup": "PEutilization",
> + "MetricName": "retired_ipc"
> + },
> + {
> + "MetricExpr": "INST_SPEC / CPU_CYCLES",
> + "PublicDescription": "Speculatively executed Instructions Per Cycle (IPC)",
> + "BriefDescription": "Speculatively executed Instructions Per Cycle (IPC)",
> + "MetricGroup": "PEutilization",
> + "MetricName": "spec_ipc"
> + },
> + {
> + "MetricExpr": "OP_RETIRED / OP_SPEC",
> + "PublicDescription": "Fraction of operations retired",
> + "BriefDescription": "Fraction of operations retired",
Would instructions be clearer than operations here?
> + "MetricGroup": "PEutilization",
> + "MetricName": "retired_rate",
> + "ScaleUnit": "100%"
> + },
> + {
> + "MetricExpr": "1 - OP_RETIRED / OP_SPEC",
Should OP_RETIRED be greater than OP_SPEC? In which case won't this
metric be negative?
> + "PublicDescription": "Fraction of operations wasted",
> + "BriefDescription": "Fraction of operations wasted",
> + "MetricGroup": "PEutilization",
> + "MetricName": "wasted_rate",
> + "ScaleUnit": "100%"
> + },
> + {
> + "MetricExpr": "OP_RETIRED / OP_SPEC * (1 - (STALL_SLOT - CPU_CYCLES) / (CPU_CYCLES * 5))",
> + "PublicDescription": "Utilization of CPU",
> + "BriefDescription": "Utilization of CPU",
Some more detail in the description would be useful.
> + "MetricGroup": "PEutilization",
> + "MetricName": "cpu_utilization",
> + "ScaleUnit": "100%"
> }
> ]
> --
> 1.8.3.1
>
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