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Message-Id: <20240926174101.406874-5-irogers@google.com>
Date: Thu, 26 Sep 2024 10:40:53 -0700
From: Ian Rogers <irogers@...gle.com>
To: Peter Zijlstra <peterz@...radead.org>, Ingo Molnar <mingo@...hat.com>,
Arnaldo Carvalho de Melo <acme@...nel.org>, Namhyung Kim <namhyung@...nel.org>,
Mark Rutland <mark.rutland@....com>,
Alexander Shishkin <alexander.shishkin@...ux.intel.com>, Jiri Olsa <jolsa@...nel.org>,
Ian Rogers <irogers@...gle.com>, Adrian Hunter <adrian.hunter@...el.com>,
Kan Liang <kan.liang@...ux.intel.com>, John Garry <john.g.garry@...cle.com>,
Jing Zhang <renyu.zj@...ux.alibaba.com>, Sandipan Das <sandipan.das@....com>,
Benjamin Gray <bgray@...ux.ibm.com>, Xu Yang <xu.yang_2@....com>, linux-kernel@...r.kernel.org,
linux-perf-users@...r.kernel.org
Subject: [PATCH v4 04/12] perf jevents: Add br metric group for branch
statistics on AMD
The br metric group for branches itself comprises metric groups for
total, taken, conditional, fused and far metric groups using json
events. The lack of conditional events on anything but zen2 means this
category is lacking on zen1, zen3 and zen4.
Signed-off-by: Ian Rogers <irogers@...gle.com>
---
tools/perf/pmu-events/amd_metrics.py | 105 +++++++++++++++++++++++++++
1 file changed, 105 insertions(+)
diff --git a/tools/perf/pmu-events/amd_metrics.py b/tools/perf/pmu-events/amd_metrics.py
index c64470d4822e..90545d4862a6 100755
--- a/tools/perf/pmu-events/amd_metrics.py
+++ b/tools/perf/pmu-events/amd_metrics.py
@@ -7,15 +7,119 @@ import argparse
import json
import math
import os
+from typing import Optional
# Global command line arguments.
_args = None
_zen_model: int = 1
interval_sec = Event("duration_time")
+ins = Event("instructions")
cycles = Event("cycles")
# Number of CPU cycles scaled for SMT.
smt_cycles = Select(cycles / 2, Literal("#smt_on"), cycles)
+def AmdBr():
+ def Total() -> MetricGroup:
+ br = Event("ex_ret_brn")
+ br_m_all = Event("ex_ret_brn_misp")
+ br_clr = Event("ex_ret_msprd_brnch_instr_dir_msmtch", "ex_ret_brn_resync")
+
+ br_r = d_ratio(br, interval_sec)
+ ins_r = d_ratio(ins, br)
+ misp_r = d_ratio(br_m_all, br)
+ clr_r = d_ratio(br_clr, interval_sec)
+
+ return MetricGroup("br_total", [
+ Metric("br_total_retired",
+ "The number of branch instructions retired per second.", br_r,
+ "insn/s"),
+ Metric(
+ "br_total_mispred",
+ "The number of branch instructions retired, of any type, that were "
+ "not correctly predicted as a percentage of all branch instrucions.",
+ misp_r, "100%"),
+ Metric("br_total_insn_between_branches",
+ "The number of instructions divided by the number of branches.",
+ ins_r, "insn"),
+ Metric("br_total_insn_fe_resteers",
+ "The number of resync branches per second.", clr_r, "req/s")
+ ])
+
+ def Taken() -> MetricGroup:
+ br = Event("ex_ret_brn_tkn")
+ br_m_tk = Event("ex_ret_brn_tkn_misp")
+ br_r = d_ratio(br, interval_sec)
+ ins_r = d_ratio(ins, br)
+ misp_r = d_ratio(br_m_tk, br)
+ return MetricGroup("br_taken", [
+ Metric("br_taken_retired",
+ "The number of taken branches that were retired per second.",
+ br_r, "insn/s"),
+ Metric(
+ "br_taken_mispred",
+ "The number of retired taken branch instructions that were "
+ "mispredicted as a percentage of all taken branches.", misp_r,
+ "100%"),
+ Metric(
+ "br_taken_insn_between_branches",
+ "The number of instructions divided by the number of taken branches.",
+ ins_r, "insn"),
+ ])
+
+ def Conditional() -> Optional[MetricGroup]:
+ global _zen_model
+ br = Event("ex_ret_cond")
+ br_r = d_ratio(br, interval_sec)
+ ins_r = d_ratio(ins, br)
+
+ metrics = [
+ Metric("br_cond_retired", "Retired conditional branch instructions.",
+ br_r, "insn/s"),
+ Metric("br_cond_insn_between_branches",
+ "The number of instructions divided by the number of conditional "
+ "branches.", ins_r, "insn"),
+ ]
+ if _zen_model == 2:
+ br_m_cond = Event("ex_ret_cond_misp")
+ misp_r = d_ratio(br_m_cond, br)
+ metrics += [
+ Metric("br_cond_mispred",
+ "Retired conditional branch instructions mispredicted as a "
+ "percentage of all conditional branches.", misp_r, "100%"),
+ ]
+
+ return MetricGroup("br_cond", metrics)
+
+ def Fused() -> MetricGroup:
+ br = Event("ex_ret_fused_instr", "ex_ret_fus_brnch_inst")
+ br_r = d_ratio(br, interval_sec)
+ ins_r = d_ratio(ins, br)
+ return MetricGroup("br_cond", [
+ Metric("br_fused_retired",
+ "Retired fused branch instructions per second.", br_r, "insn/s"),
+ Metric(
+ "br_fused_insn_between_branches",
+ "The number of instructions divided by the number of fused "
+ "branches.", ins_r, "insn"),
+ ])
+
+ def Far() -> MetricGroup:
+ br = Event("ex_ret_brn_far")
+ br_r = d_ratio(br, interval_sec)
+ ins_r = d_ratio(ins, br)
+ return MetricGroup("br_far", [
+ Metric("br_far_retired", "Retired far control transfers per second.",
+ br_r, "insn/s"),
+ Metric(
+ "br_far_insn_between_branches",
+ "The number of instructions divided by the number of far branches.",
+ ins_r, "insn"),
+ ])
+
+ return MetricGroup("br", [Total(), Taken(), Conditional(), Fused(), Far()],
+ description="breakdown of retired branch instructions")
+
+
def AmdUpc() -> Metric:
ops = Event("ex_ret_ops", "ex_ret_cops")
upc = d_ratio(ops, smt_cycles)
@@ -78,6 +182,7 @@ def main() -> None:
_zen_model = int(_args.model[6:])
all_metrics = MetricGroup("", [
+ AmdBr(),
AmdUpc(),
Idle(),
Rapl(),
--
2.46.1.824.gd892dcdcdd-goog
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