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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. Reviewed-by: Sandipan Das <sandipan.das@amd.com> Signed-off-by: Ian Rogers <irogers@google.com> Cc: Adrian Hunter <adrian.hunter@intel.com> Cc: Alexander Shishkin <alexander.shishkin@linux.intel.com> Cc: Benjamin Gray <bgray@linux.ibm.com> Cc: Caleb Biggers <caleb.biggers@intel.com> Cc: Edward Baker <edward.baker@intel.com> Cc: Ingo Molnar <mingo@redhat.com> Cc: James Clark <james.clark@linaro.org> Cc: Jing Zhang <renyu.zj@linux.alibaba.com> Cc: Jiri Olsa <jolsa@kernel.org> Cc: John Garry <john.g.garry@oracle.com> Cc: Leo Yan <leo.yan@arm.com> Cc: Namhyung Kim <namhyung@kernel.org> Cc: Perry Taylor <perry.taylor@intel.com> Cc: Peter Zijlstra <peterz@infradead.org> Cc: Thomas Falcon <thomas.falcon@intel.com> Cc: Weilin Wang <weilin.wang@intel.com> Cc: Xu Yang <xu.yang_2@nxp.com> Signed-off-by: Arnaldo Carvalho de Melo <acme@redhat.com>
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@ -18,6 +18,110 @@ cycles = Event("cycles")
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smt_cycles = Select(cycles / 2, Literal("#smt_on"), cycles)
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def AmdBr():
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def Total() -> MetricGroup:
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br = Event("ex_ret_brn")
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br_m_all = Event("ex_ret_brn_misp")
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br_clr = Event("ex_ret_brn_cond_misp",
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"ex_ret_msprd_brnch_instr_dir_msmtch",
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"ex_ret_brn_resync")
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br_r = d_ratio(br, interval_sec)
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ins_r = d_ratio(ins, br)
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misp_r = d_ratio(br_m_all, br)
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clr_r = d_ratio(br_clr, interval_sec)
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return MetricGroup("lpm_br_total", [
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Metric("lpm_br_total_retired",
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"The number of branch instructions retired per second.", br_r,
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"insn/s"),
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Metric(
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"lpm_br_total_mispred",
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"The number of branch instructions retired, of any type, that were "
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"not correctly predicted as a percentage of all branch instrucions.",
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misp_r, "100%"),
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Metric("lpm_br_total_insn_between_branches",
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"The number of instructions divided by the number of branches.",
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ins_r, "insn"),
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Metric("lpm_br_total_insn_fe_resteers",
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"The number of resync branches per second.", clr_r, "req/s")
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])
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def Taken() -> MetricGroup:
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br = Event("ex_ret_brn_tkn")
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br_m_tk = Event("ex_ret_brn_tkn_misp")
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br_r = d_ratio(br, interval_sec)
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ins_r = d_ratio(ins, br)
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misp_r = d_ratio(br_m_tk, br)
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return MetricGroup("lpm_br_taken", [
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Metric("lpm_br_taken_retired",
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"The number of taken branches that were retired per second.",
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br_r, "insn/s"),
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Metric(
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"lpm_br_taken_mispred",
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"The number of retired taken branch instructions that were "
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"mispredicted as a percentage of all taken branches.", misp_r,
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"100%"),
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Metric(
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"lpm_br_taken_insn_between_branches",
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"The number of instructions divided by the number of taken branches.",
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ins_r, "insn"),
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])
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def Conditional() -> Optional[MetricGroup]:
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global _zen_model
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br = Event("ex_ret_brn_cond", "ex_ret_cond")
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br_r = d_ratio(br, interval_sec)
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ins_r = d_ratio(ins, br)
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metrics = [
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Metric("lpm_br_cond_retired", "Retired conditional branch instructions.",
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br_r, "insn/s"),
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Metric("lpm_br_cond_insn_between_branches",
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"The number of instructions divided by the number of conditional "
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"branches.", ins_r, "insn"),
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]
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if _zen_model == 2:
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br_m_cond = Event("ex_ret_cond_misp")
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misp_r = d_ratio(br_m_cond, br)
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metrics += [
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Metric("lpm_br_cond_mispred",
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"Retired conditional branch instructions mispredicted as a "
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"percentage of all conditional branches.", misp_r, "100%"),
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]
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return MetricGroup("lpm_br_cond", metrics)
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def Fused() -> MetricGroup:
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br = Event("ex_ret_fused_instr", "ex_ret_fus_brnch_inst")
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br_r = d_ratio(br, interval_sec)
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ins_r = d_ratio(ins, br)
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return MetricGroup("lpm_br_cond", [
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Metric("lpm_br_fused_retired",
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"Retired fused branch instructions per second.", br_r, "insn/s"),
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Metric(
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"lpm_br_fused_insn_between_branches",
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"The number of instructions divided by the number of fused "
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"branches.", ins_r, "insn"),
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])
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def Far() -> MetricGroup:
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br = Event("ex_ret_brn_far")
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br_r = d_ratio(br, interval_sec)
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ins_r = d_ratio(ins, br)
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return MetricGroup("lpm_br_far", [
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Metric("lpm_br_far_retired", "Retired far control transfers per second.",
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br_r, "insn/s"),
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Metric(
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"lpm_br_far_insn_between_branches",
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"The number of instructions divided by the number of far branches.",
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ins_r, "insn"),
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])
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return MetricGroup("lpm_br", [Total(), Taken(), Conditional(), Fused(), Far()],
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description="breakdown of retired branch instructions")
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def AmdUpc() -> Metric:
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ops = Event("ex_ret_ops", "ex_ret_cops")
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upc = d_ratio(ops, smt_cycles)
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@ -83,6 +187,7 @@ def main() -> None:
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_zen_model = int(_args.model[6:])
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all_metrics = MetricGroup("", [
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AmdBr(),
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AmdUpc(),
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Idle(),
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Rapl(),
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