[PATCH v5 00/22] Python generated Intel metrics

[PATCH v5 00/22] Python generated Intel metrics

[Ian Rogers]

Generate twenty sets of additional metrics for Intel. Rapl and Idle
metrics aren't specific to Intel but are placed here for ease and
convenience. Smi and tsx metrics are added so they can be dropped from
the per model json files. There are four uncore sets of metrics and
eleven core metrics. Add a CheckPmu function to metric to simplify
detecting the presence of hybrid PMUs in events. Metrics with
experimental events are flagged as experimental in their description.

The patches should be applied on top of:
https://lore.kernel.org/lkml/20250829033138.4166591-1-irogers@google.com/

v5. Rebase. Fix description for smi metric (Kan). Prefix all metric
    names with lpm_ (short for Linux Perf Metric) so that python
    generated metrics are clearly namespaced. Kan requested a
    namespace in his review:
    https://lore.kernel.org/lkml/43548903-b7c8-47c4-b1da-0258293ecbd4@linux.intel.com/

v4. Experimental metric descriptions. Add mesh bandwidth metric. Rebase.
    https://lore.kernel.org/lkml/20240926175035.408668-1-irogers@google.com/

v3. Swap tsx and CheckPMU patches that were in the wrong order. Some
    minor code cleanup changes. Drop reference to merged fix for
    umasks/occ_sel in PCU events and for cstate metrics.
    https://lore.kernel.org/lkml/20240314055919.1979781-1-irogers@google.com/

v2. Drop the cycles breakdown in favor of having it as a common
    metric, spelling and other improvements suggested by Kan Liang
    <kan.liang@linux.intel.com>.
    https://lore.kernel.org/lkml/20240301185559.2661241-1-irogers@google.com/

v1. https://lore.kernel.org/lkml/20240229001806.4158429-1-irogers@google.com/

Ian Rogers (22):
  perf jevents: Add RAPL metrics for all Intel models
  perf jevents: Add idle metric for Intel models
  perf jevents: Add CheckPmu to see if a PMU is in loaded json events
  perf jevents: Add smi metric group for Intel models
  perf jevents: Mark metrics with experimental events as experimental
  perf jevents: Add tsx metric group for Intel models
  perf jevents: Add br metric group for branch statistics on Intel
  perf jevents: Add software prefetch (swpf) metric group for Intel
  perf jevents: Add ports metric group giving utilization on Intel
  perf jevents: Add L2 metrics for Intel
  perf jevents: Add load store breakdown metrics ldst for Intel
  perf jevents: Add ILP metrics for Intel
  perf jevents: Add context switch metrics for Intel
  perf jevents: Add FPU metrics for Intel
  perf jevents: Add Miss Level Parallelism (MLP) metric for Intel
  perf jevents: Add mem_bw metric for Intel
  perf jevents: Add local/remote "mem" breakdown metrics for Intel
  perf jevents: Add dir breakdown metrics for Intel
  perf jevents: Add C-State metrics from the PCU PMU for Intel
  perf jevents: Add local/remote miss latency metrics for Intel
  perf jevents: Add upi_bw metric for Intel
  perf jevents: Add mesh bandwidth saturation metric for Intel

 tools/perf/pmu-events/intel_metrics.py | 1065 +++++++++++++++++++++++-
 tools/perf/pmu-events/metric.py        |   52 ++
 2 files changed, 1114 insertions(+), 3 deletions(-)

-- 
2.51.0.318.gd7df087d1a-goog

[PATCH v5 01/22] perf jevents: Add RAPL metrics for all Intel models

[Ian Rogers]

Add a 'cpu_power' metric group that computes the power consumption
from RAPL events if they are present.

Signed-off-by: Ian Rogers <irogers@google.com>
---
 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 04a19d05c6c1..df4322ec82d9 100755
--- a/tools/perf/pmu-events/intel_metrics.py
+++ b/tools/perf/pmu-events/intel_metrics.py
@@ -1,13 +1,49 @@
 #!/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
 
 # Global command line arguments.
 _args = None
+interval_sec = Event("duration_time")
+
+def Rapl() -> MetricGroup:
+  """Processor 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("lpm_cpu_power_pkg", "",
+             d_ratio(cond_pkg * scale, interval_sec), "Watts"),
+      Metric("lpm_cpu_power_cores", "",
+             d_ratio(cond_cores * scale, interval_sec), "Watts"),
+      Metric("lpm_cpu_power_ram", "",
+             d_ratio(cond_ram * scale, interval_sec), "Watts"),
+      Metric("lpm_cpu_power_gpu", "",
+             d_ratio(cond_gpu * scale, interval_sec), "Watts"),
+      Metric("lpm_cpu_power_psys", "",
+             d_ratio(cond_psys * scale, interval_sec), "Watts"),
+  ]
+
+  return MetricGroup("lpm_cpu_power", metrics,
+                     description="Running Average Power Limit (RAPL) power consumption estimates")
+
 
 def main() -> None:
   global _args
@@ -31,7 +67,10 @@ def main() -> None:
   directory = f"{_args.events_path}/x86/{_args.model}/"
   LoadEvents(directory)
 
-  all_metrics = MetricGroup("",[])
+  all_metrics = MetricGroup("", [
+      Rapl(),
+  ])
+
 
   if _args.metricgroups:
     print(JsonEncodeMetricGroupDescriptions(all_metrics))
-- 
2.51.0.318.gd7df087d1a-goog

[PATCH v5 02/22] perf jevents: Add idle metric for Intel models

[Ian Rogers]

Compute using the msr PMU the percentage of wallclock cycles where the
CPUs are in a low power state.

Signed-off-by: Ian Rogers <irogers@google.com>
---
 tools/perf/pmu-events/intel_metrics.py | 16 ++++++++++++++--
 1 file changed, 14 insertions(+), 2 deletions(-)

diff --git a/tools/perf/pmu-events/intel_metrics.py b/tools/perf/pmu-events/intel_metrics.py
index df4322ec82d9..0bb28f4c8316 100755
--- a/tools/perf/pmu-events/intel_metrics.py
+++ b/tools/perf/pmu-events/intel_metrics.py
@@ -1,7 +1,8 @@
 #!/usr/bin/env python3
 # SPDX-License-Identifier: (LGPL-2.1 OR BSD-2-Clause)
-from metric import (d_ratio, has_event, Event, JsonEncodeMetric, JsonEncodeMetricGroupDescriptions,
-                    LoadEvents, Metric, MetricGroup, Select)
+from metric import (d_ratio, has_event, max, Event, JsonEncodeMetric,
+                    JsonEncodeMetricGroupDescriptions, LoadEvents, Metric,
+                    MetricGroup, Select)
 import argparse
 import json
 import math
@@ -11,6 +12,16 @@ import os
 _args = None
 interval_sec = Event("duration_time")
 
+def Idle() -> Metric:
+  cyc = Event("msr/mperf/")
+  tsc = Event("msr/tsc/")
+  low = max(tsc - cyc, 0)
+  return Metric(
+      "lpm_idle",
+      "Percentage of total wallclock cycles where CPUs are in low power state (C1 or deeper sleep state)",
+      d_ratio(low, tsc), "100%")
+
+
 def Rapl() -> MetricGroup:
   """Processor power consumption estimate.
 
@@ -68,6 +79,7 @@ def main() -> None:
   LoadEvents(directory)
 
   all_metrics = MetricGroup("", [
+      Idle(),
       Rapl(),
   ])
 
-- 
2.51.0.318.gd7df087d1a-goog

[PATCH v5 03/22] perf jevents: Add CheckPmu to see if a PMU is in loaded json events

[Ian Rogers]

CheckPmu can be used to determine if hybrid events are present,
allowing for hybrid conditional metrics/events/pmus to be premised on
the json files rather than hard coded tables.

Signed-off-by: Ian Rogers <irogers@google.com>
---
 tools/perf/pmu-events/metric.py | 8 ++++++++
 1 file changed, 8 insertions(+)

diff --git a/tools/perf/pmu-events/metric.py b/tools/perf/pmu-events/metric.py
index 36e9cb3acf6a..4f62f252abef 100644
--- a/tools/perf/pmu-events/metric.py
+++ b/tools/perf/pmu-events/metric.py
@@ -8,10 +8,12 @@ import re
 from enum import Enum
 from typing import Dict, List, Optional, Set, Tuple, Union
 
+all_pmus = set()
 all_events = set()
 
 def LoadEvents(directory: str) -> None:
   """Populate a global set of all known events for the purpose of validating Event names"""
+  global all_pmus
   global all_events
   all_events = {
       "context\-switches",
@@ -25,6 +27,8 @@ def LoadEvents(directory: str) -> None:
     if filename.endswith(".json"):
       try:
         for x in json.load(open(f"{directory}/{filename}")):
+          if "Unit" in x:
+            all_pmus.add(x["Unit"])
           if "EventName" in x:
             all_events.add(x["EventName"])
           elif "ArchStdEvent" in x:
@@ -35,6 +39,10 @@ def LoadEvents(directory: str) -> None:
         pass
 
 
+def CheckPmu(name: str) -> bool:
+  return name in all_pmus
+
+
 def CheckEvent(name: str) -> bool:
   """Check the event name exists in the set of all loaded events"""
   global all_events
-- 
2.51.0.318.gd7df087d1a-goog

[PATCH v5 04/22] perf jevents: Add smi metric group for Intel models

[Ian Rogers]

Allow duplicated metric to be dropped from json files.

Signed-off-by: Ian Rogers <irogers@google.com>
---
 tools/perf/pmu-events/intel_metrics.py | 24 ++++++++++++++++++++++--
 1 file changed, 22 insertions(+), 2 deletions(-)

diff --git a/tools/perf/pmu-events/intel_metrics.py b/tools/perf/pmu-events/intel_metrics.py
index 0bb28f4c8316..1e4790717cec 100755
--- a/tools/perf/pmu-events/intel_metrics.py
+++ b/tools/perf/pmu-events/intel_metrics.py
@@ -1,8 +1,8 @@
 #!/usr/bin/env python3
 # SPDX-License-Identifier: (LGPL-2.1 OR BSD-2-Clause)
-from metric import (d_ratio, has_event, max, Event, JsonEncodeMetric,
+from metric import (d_ratio, has_event, max, CheckPmu, Event, JsonEncodeMetric,
                     JsonEncodeMetricGroupDescriptions, LoadEvents, Metric,
-                    MetricGroup, Select)
+                    MetricGroup, MetricRef, Select)
 import argparse
 import json
 import math
@@ -56,6 +56,25 @@ def Rapl() -> MetricGroup:
                      description="Running Average Power Limit (RAPL) power consumption estimates")
 
 
+def Smi() -> MetricGroup:
+    pmu = "<cpu_core or cpu_atom>" if CheckPmu("cpu_core") else "cpu"
+    aperf = Event('msr/aperf/')
+    cycles = Event('cycles')
+    smi_num = Event('msr/smi/')
+    smi_cycles = Select(Select((aperf - cycles) / aperf, smi_num > 0, 0),
+                        has_event(aperf),
+                        0)
+    return MetricGroup('smi', [
+        Metric('smi_num', 'Number of SMI interrupts.',
+               Select(smi_num, has_event(smi_num), 0), 'SMI#'),
+        # Note, the smi_cycles "Event" is really a reference to the metric.
+        Metric('smi_cycles',
+               'Percentage of cycles spent in System Management Interrupts. '
+               f'Requires /sys/bus/event_source/devices/{pmu}/freeze_on_smi to be 1.',
+               smi_cycles, '100%', threshold=(MetricRef('smi_cycles') > 0.10))
+    ], description = 'System Management Interrupt metrics')
+
+
 def main() -> None:
   global _args
 
@@ -81,6 +100,7 @@ def main() -> None:
   all_metrics = MetricGroup("", [
       Idle(),
       Rapl(),
+      Smi(),
   ])
 
 
-- 
2.51.0.318.gd7df087d1a-goog

[PATCH v5 05/22] perf jevents: Mark metrics with experimental events as experimental

[Ian Rogers]

When metrics are made with experimental events it is desirable the
metric description also carries this information in case of metric
inaccuracies.

Suggested-by: Perry Taylor <perry.taylor@intel.com>
---
 tools/perf/pmu-events/metric.py | 44 +++++++++++++++++++++++++++++++++
 1 file changed, 44 insertions(+)

diff --git a/tools/perf/pmu-events/metric.py b/tools/perf/pmu-events/metric.py
index 4f62f252abef..b77485b47666 100644
--- a/tools/perf/pmu-events/metric.py
+++ b/tools/perf/pmu-events/metric.py
@@ -10,11 +10,13 @@ from typing import Dict, List, Optional, Set, Tuple, Union
 
 all_pmus = set()
 all_events = set()
+experimental_events = set()
 
 def LoadEvents(directory: str) -> None:
   """Populate a global set of all known events for the purpose of validating Event names"""
   global all_pmus
   global all_events
+  global experimental_events
   all_events = {
       "context\-switches",
       "cycles",
@@ -31,6 +33,8 @@ def LoadEvents(directory: str) -> None:
             all_pmus.add(x["Unit"])
           if "EventName" in x:
             all_events.add(x["EventName"])
+            if "Experimental" in x and x["Experimental"] == "1":
+              experimental_events.add(x["EventName"])
           elif "ArchStdEvent" in x:
             all_events.add(x["ArchStdEvent"])
       except json.decoder.JSONDecodeError:
@@ -60,6 +64,18 @@ def CheckEvent(name: str) -> bool:
   return name in all_events
 
 
+def IsExperimentalEvent(name: str) -> bool:
+  global experimental_events
+  if ':' in name:
+    # Remove trailing modifier.
+    name = name[:name.find(':')]
+  elif '/' in name:
+    # Name could begin with a PMU or an event, for now assume it is not experimental.
+    return False
+
+  return name in experimental_events
+
+
 class MetricConstraint(Enum):
   GROUPED_EVENTS = 0
   NO_GROUP_EVENTS = 1
@@ -81,6 +97,10 @@ class Expression:
     """Returns a simplified version of self."""
     raise NotImplementedError()
 
+  def HasExperimentalEvents(self) -> bool:
+    """Are experimental events used in the expression?"""
+    raise NotImplementedError()
+
   def Equals(self, other) -> bool:
     """Returns true when two expressions are the same."""
     raise NotImplementedError()
@@ -248,6 +268,9 @@ class Operator(Expression):
 
     return Operator(self.operator, lhs, rhs)
 
+  def HasExperimentalEvents(self) -> bool:
+    return self.lhs.HasExperimentalEvents() or self.rhs.HasExperimentalEvents()
+
   def Equals(self, other: Expression) -> bool:
     if isinstance(other, Operator):
       return self.operator == other.operator and self.lhs.Equals(
@@ -296,6 +319,10 @@ class Select(Expression):
 
     return Select(true_val, cond, false_val)
 
+  def HasExperimentalEvents(self) -> bool:
+    return (self.cond.HasExperimentalEvents() or self.true_val.HasExperimentalEvents() or
+            self.false_val.HasExperimentalEvents())
+
   def Equals(self, other: Expression) -> bool:
     if isinstance(other, Select):
       return self.cond.Equals(other.cond) and self.false_val.Equals(
@@ -344,6 +371,9 @@ class Function(Expression):
 
     return Function(self.fn, lhs, rhs)
 
+  def HasExperimentalEvents(self) -> bool:
+    return self.lhs.HasExperimentalEvents() or (self.rhs and self.rhs.HasExperimentalEvents())
+
   def Equals(self, other: Expression) -> bool:
     if isinstance(other, Function):
       result = self.fn == other.fn and self.lhs.Equals(other.lhs)
@@ -383,6 +413,9 @@ class Event(Expression):
     global all_events
     raise Exception(f"No event {error} in:\n{all_events}")
 
+  def HasExperimentalEvents(self) -> bool:
+    return IsExperimentalEvent(self.name)
+
   def ToPerfJson(self):
     result = re.sub('/', '@', self.name)
     return result
@@ -415,6 +448,9 @@ class MetricRef(Expression):
   def Simplify(self) -> Expression:
     return self
 
+  def HasExperimentalEvents(self) -> bool:
+    return False
+
   def Equals(self, other: Expression) -> bool:
     return isinstance(other, MetricRef) and self.name == other.name
 
@@ -442,6 +478,9 @@ class Constant(Expression):
   def Simplify(self) -> Expression:
     return self
 
+  def HasExperimentalEvents(self) -> bool:
+    return False
+
   def Equals(self, other: Expression) -> bool:
     return isinstance(other, Constant) and self.value == other.value
 
@@ -464,6 +503,9 @@ class Literal(Expression):
   def Simplify(self) -> Expression:
     return self
 
+  def HasExperimentalEvents(self) -> bool:
+    return False
+
   def Equals(self, other: Expression) -> bool:
     return isinstance(other, Literal) and self.value == other.value
 
@@ -526,6 +568,8 @@ class Metric:
     self.name = name
     self.description = description
     self.expr = expr.Simplify()
+    if self.expr.HasExperimentalEvents():
+      self.description += " (metric should be considered experimental as it contains experimental events)."
     # Workraound valid_only_metric hiding certain metrics based on unit.
     scale_unit = scale_unit.replace('/sec', ' per sec')
     if scale_unit[0].isdigit():
-- 
2.51.0.318.gd7df087d1a-goog

[PATCH v5 06/22] perf jevents: Add tsx metric group for Intel models

[Ian Rogers]

Allow duplicated metric to be dropped from json files. Detect when TSX
is supported by a model by using the json events, use sysfs events at
runtime as hypervisors, etc. may disable TSX.

Add CheckPmu to metric to determine if which PMUs have been associated
with the loaded events.

Signed-off-by: Ian Rogers <irogers@google.com>
---
 tools/perf/pmu-events/intel_metrics.py | 50 ++++++++++++++++++++++++++
 1 file changed, 50 insertions(+)

diff --git a/tools/perf/pmu-events/intel_metrics.py b/tools/perf/pmu-events/intel_metrics.py
index 1e4790717cec..a353e682df96 100755
--- a/tools/perf/pmu-events/intel_metrics.py
+++ b/tools/perf/pmu-events/intel_metrics.py
@@ -7,6 +7,7 @@ import argparse
 import json
 import math
 import os
+from typing import Optional
 
 # Global command line arguments.
 _args = None
@@ -75,6 +76,54 @@ def Smi() -> MetricGroup:
     ], description = 'System Management Interrupt metrics')
 
 
+def Tsx() -> Optional[MetricGroup]:
+  pmu = "cpu_core" if CheckPmu("cpu_core") else "cpu"
+  cycles = Event('cycles')
+  cycles_in_tx = Event(f'{pmu}/cycles\-t/')
+  cycles_in_tx_cp = Event(f'{pmu}/cycles\-ct/')
+  try:
+    # Test if the tsx event is present in the json, prefer the
+    # sysfs version so that we can detect its presence at runtime.
+    transaction_start = Event("RTM_RETIRED.START")
+    transaction_start = Event(f'{pmu}/tx\-start/')
+  except:
+    return None
+
+  elision_start = None
+  try:
+    # Elision start isn't supported by all models, but we'll not
+    # generate the tsx_cycles_per_elision metric in that
+    # case. Again, prefer the sysfs encoding of the event.
+    elision_start = Event("HLE_RETIRED.START")
+    elision_start = Event(f'{pmu}/el\-start/')
+  except:
+    pass
+
+  return MetricGroup('transaction', [
+      Metric('tsx_transactional_cycles',
+             'Percentage of cycles within a transaction region.',
+             Select(cycles_in_tx / cycles, has_event(cycles_in_tx), 0),
+             '100%'),
+      Metric('tsx_aborted_cycles', 'Percentage of cycles in aborted transactions.',
+             Select(max(cycles_in_tx - cycles_in_tx_cp, 0) / cycles,
+                    has_event(cycles_in_tx),
+                    0),
+             '100%'),
+      Metric('tsx_cycles_per_transaction',
+             'Number of cycles within a transaction divided by the number of transactions.',
+             Select(cycles_in_tx / transaction_start,
+                    has_event(cycles_in_tx),
+                    0),
+             "cycles / transaction"),
+      Metric('tsx_cycles_per_elision',
+             'Number of cycles within a transaction divided by the number of elisions.',
+             Select(cycles_in_tx / elision_start,
+                    has_event(elision_start),
+                    0),
+             "cycles / elision") if elision_start else None,
+  ], description="Breakdown of transactional memory statistics")
+
+
 def main() -> None:
   global _args
 
@@ -101,6 +150,7 @@ def main() -> None:
       Idle(),
       Rapl(),
       Smi(),
+      Tsx(),
   ])
 
 
-- 
2.51.0.318.gd7df087d1a-goog

[PATCH v5 07/22] perf jevents: Add br metric group for branch statistics on Intel

[Ian Rogers]

The br metric group for branches itself comprises metric groups for
total, taken, conditional, fused and far metric groups using json
events. Conditional taken and not taken metrics are specific to
Icelake and later generations, so the presence of the event is used to
determine whether the metric should exist.

Signed-off-by: Ian Rogers <irogers@google.com>
---
 tools/perf/pmu-events/intel_metrics.py | 138 +++++++++++++++++++++++++
 1 file changed, 138 insertions(+)

diff --git a/tools/perf/pmu-events/intel_metrics.py b/tools/perf/pmu-events/intel_metrics.py
index a353e682df96..53b9606ef1a2 100755
--- a/tools/perf/pmu-events/intel_metrics.py
+++ b/tools/perf/pmu-events/intel_metrics.py
@@ -124,6 +124,143 @@ def Tsx() -> Optional[MetricGroup]:
   ], description="Breakdown of transactional memory statistics")
 
 
+def IntelBr():
+  ins = Event("instructions")
+
+  def Total() -> MetricGroup:
+    br_all = Event ("BR_INST_RETIRED.ALL_BRANCHES", "BR_INST_RETIRED.ANY")
+    br_m_all = Event("BR_MISP_RETIRED.ALL_BRANCHES",
+                     "BR_INST_RETIRED.MISPRED",
+                     "BR_MISP_EXEC.ANY")
+    br_clr = None
+    try:
+      br_clr = Event("BACLEARS.ANY", "BACLEARS.ALL")
+    except:
+      pass
+
+    br_r = d_ratio(br_all, interval_sec)
+    ins_r = d_ratio(ins, br_all)
+    misp_r = d_ratio(br_m_all, br_all)
+    clr_r = d_ratio(br_clr, interval_sec) if br_clr else None
+
+    return MetricGroup("lpm_br_total", [
+        Metric("lpm_br_total_retired",
+               "The number of branch instructions retired per second.", br_r,
+               "insn/s"),
+        Metric(
+            "lpm_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("lpm_br_total_insn_between_branches",
+               "The number of instructions divided by the number of branches.",
+               ins_r, "insn"),
+        Metric("lpm_br_total_insn_fe_resteers",
+               "The number of resync branches per second.", clr_r, "req/s"
+               ) if clr_r else None
+    ])
+
+  def Taken() -> MetricGroup:
+    br_all = Event("BR_INST_RETIRED.ALL_BRANCHES", "BR_INST_RETIRED.ANY")
+    br_m_tk = None
+    try:
+      br_m_tk = Event("BR_MISP_RETIRED.NEAR_TAKEN",
+                      "BR_MISP_RETIRED.TAKEN_JCC",
+                      "BR_INST_RETIRED.MISPRED_TAKEN")
+    except:
+      pass
+    br_r = d_ratio(br_all, interval_sec)
+    ins_r = d_ratio(ins, br_all)
+    misp_r = d_ratio(br_m_tk, br_all) if br_m_tk else None
+    return MetricGroup("lpm_br_taken", [
+        Metric("lpm_br_taken_retired",
+               "The number of taken branches that were retired per second.",
+               br_r, "insn/s"),
+        Metric(
+            "lpm_br_taken_mispred",
+            "The number of retired taken branch instructions that were "
+            "mispredicted as a percentage of all taken branches.", misp_r,
+            "100%") if misp_r else None,
+        Metric(
+            "lpm_br_taken_insn_between_branches",
+            "The number of instructions divided by the number of taken branches.",
+            ins_r, "insn"),
+    ])
+
+  def Conditional() -> Optional[MetricGroup]:
+    try:
+      br_cond = Event("BR_INST_RETIRED.COND",
+                      "BR_INST_RETIRED.CONDITIONAL",
+                      "BR_INST_RETIRED.TAKEN_JCC")
+      br_m_cond = Event("BR_MISP_RETIRED.COND",
+                        "BR_MISP_RETIRED.CONDITIONAL",
+                        "BR_MISP_RETIRED.TAKEN_JCC")
+    except:
+      return None
+
+    br_cond_nt = None
+    br_m_cond_nt = None
+    try:
+      br_cond_nt = Event("BR_INST_RETIRED.COND_NTAKEN")
+      br_m_cond_nt = Event("BR_MISP_RETIRED.COND_NTAKEN")
+    except:
+      pass
+    br_r = d_ratio(br_cond, interval_sec)
+    ins_r = d_ratio(ins, br_cond)
+    misp_r = d_ratio(br_m_cond, br_cond)
+    taken_metrics = [
+        Metric("lpm_br_cond_retired", "Retired conditional branch instructions.",
+               br_r, "insn/s"),
+        Metric("lpm_br_cond_insn_between_branches",
+               "The number of instructions divided by the number of conditional "
+               "branches.", ins_r, "insn"),
+        Metric("lpm_br_cond_mispred",
+               "Retired conditional branch instructions mispredicted as a "
+               "percentage of all conditional branches.", misp_r, "100%"),
+    ]
+    if not br_m_cond_nt:
+      return MetricGroup("lpm_br_cond", taken_metrics)
+
+    br_r = d_ratio(br_cond_nt, interval_sec)
+    ins_r = d_ratio(ins, br_cond_nt)
+    misp_r = d_ratio(br_m_cond_nt, br_cond_nt)
+
+    not_taken_metrics = [
+        Metric("lpm_br_cond_retired", "Retired conditional not taken branch instructions.",
+               br_r, "insn/s"),
+        Metric("lpm_br_cond_insn_between_branches",
+               "The number of instructions divided by the number of not taken conditional "
+               "branches.", ins_r, "insn"),
+        Metric("lpm_br_cond_mispred",
+               "Retired not taken conditional branch instructions mispredicted as a "
+               "percentage of all not taken conditional branches.", misp_r, "100%"),
+    ]
+    return MetricGroup("lpm_br_cond", [
+        MetricGroup("lpm_br_cond_nt", not_taken_metrics),
+        MetricGroup("lpm_br_cond_tkn", taken_metrics),
+    ])
+
+  def Far() -> Optional[MetricGroup]:
+    try:
+      br_far = Event("BR_INST_RETIRED.FAR_BRANCH")
+    except:
+      return None
+
+    br_r = d_ratio(br_far, interval_sec)
+    ins_r = d_ratio(ins, br_far)
+    return MetricGroup("lpm_br_far", [
+        Metric("lpm_br_far_retired", "Retired far control transfers per second.",
+               br_r, "insn/s"),
+        Metric(
+            "lpm_br_far_insn_between_branches",
+            "The number of instructions divided by the number of far branches.",
+            ins_r, "insn"),
+    ])
+
+  return MetricGroup("lpm_br", [Total(), Taken(), Conditional(), Far()],
+                     description="breakdown of retired branch instructions")
+
+
 def main() -> None:
   global _args
 
@@ -151,6 +288,7 @@ def main() -> None:
       Rapl(),
       Smi(),
       Tsx(),
+      IntelBr(),
   ])
 
 
-- 
2.51.0.318.gd7df087d1a-goog

[PATCH v5 08/22] perf jevents: Add software prefetch (swpf) metric group for Intel

[Ian Rogers]

Add metrics that breakdown software prefetch instruction use.

Signed-off-by: Ian Rogers <irogers@google.com>
---
 tools/perf/pmu-events/intel_metrics.py | 65 ++++++++++++++++++++++++++
 1 file changed, 65 insertions(+)

diff --git a/tools/perf/pmu-events/intel_metrics.py b/tools/perf/pmu-events/intel_metrics.py
index 53b9606ef1a2..cfeafb58e8b4 100755
--- a/tools/perf/pmu-events/intel_metrics.py
+++ b/tools/perf/pmu-events/intel_metrics.py
@@ -261,6 +261,70 @@ def IntelBr():
                      description="breakdown of retired branch instructions")
 
 
+def IntelSwpf() -> Optional[MetricGroup]:
+  ins = Event("instructions")
+  try:
+    s_ld = Event("MEM_INST_RETIRED.ALL_LOADS", "MEM_UOPS_RETIRED.ALL_LOADS")
+    s_nta = Event("SW_PREFETCH_ACCESS.NTA")
+    s_t0 = Event("SW_PREFETCH_ACCESS.T0")
+    s_t1 = Event("SW_PREFETCH_ACCESS.T1_T2")
+    s_w = Event("SW_PREFETCH_ACCESS.PREFETCHW")
+  except:
+    return None
+
+  all_sw = s_nta + s_t0 + s_t1 + s_w
+  swp_r = d_ratio(all_sw, interval_sec)
+  ins_r = d_ratio(ins, all_sw)
+  ld_r = d_ratio(s_ld, all_sw)
+
+  return MetricGroup("lpm_swpf", [
+      MetricGroup("lpm_swpf_totals", [
+          Metric("lpm_swpf_totals_exec", "Software prefetch instructions per second",
+                swp_r, "swpf/s"),
+          Metric("lpm_swpf_totals_insn_per_pf",
+                 "Average number of instructions between software prefetches",
+                 ins_r, "insn/swpf"),
+          Metric("lpm_swpf_totals_loads_per_pf",
+                 "Average number of loads between software prefetches",
+                 ld_r, "loads/swpf"),
+      ]),
+      MetricGroup("lpm_swpf_bkdwn", [
+          MetricGroup("lpm_swpf_bkdwn_nta", [
+              Metric("lpm_swpf_bkdwn_nta_per_swpf",
+                     "Software prefetch NTA instructions as a percent of all prefetch instructions",
+                     d_ratio(s_nta, all_sw), "100%"),
+              Metric("lpm_swpf_bkdwn_nta_rate",
+                     "Software prefetch NTA instructions per second",
+                     d_ratio(s_nta, interval_sec), "insn/s"),
+          ]),
+          MetricGroup("lpm_swpf_bkdwn_t0", [
+              Metric("lpm_swpf_bkdwn_t0_per_swpf",
+                     "Software prefetch T0 instructions as a percent of all prefetch instructions",
+                     d_ratio(s_t0, all_sw), "100%"),
+              Metric("lpm_swpf_bkdwn_t0_rate",
+                     "Software prefetch T0 instructions per second",
+                     d_ratio(s_t0, interval_sec), "insn/s"),
+          ]),
+          MetricGroup("lpm_swpf_bkdwn_t1_t2", [
+              Metric("lpm_swpf_bkdwn_t1_t2_per_swpf",
+                     "Software prefetch T1 or T2 instructions as a percent of all prefetch instructions",
+                     d_ratio(s_t1, all_sw), "100%"),
+              Metric("lpm_swpf_bkdwn_t1_t2_rate",
+                     "Software prefetch T1 or T2 instructions per second",
+                     d_ratio(s_t1, interval_sec), "insn/s"),
+          ]),
+          MetricGroup("lpm_swpf_bkdwn_w", [
+              Metric("lpm_swpf_bkdwn_w_per_swpf",
+                     "Software prefetch W instructions as a percent of all prefetch instructions",
+                     d_ratio(s_w, all_sw), "100%"),
+              Metric("lpm_swpf_bkdwn_w_rate",
+                     "Software prefetch W instructions per second",
+                     d_ratio(s_w, interval_sec), "insn/s"),
+          ]),
+      ]),
+  ], description="Software prefetch instruction breakdown")
+
+
 def main() -> None:
   global _args
 
@@ -289,6 +353,7 @@ def main() -> None:
       Smi(),
       Tsx(),
       IntelBr(),
+      IntelSwpf(),
   ])
 
 
-- 
2.51.0.318.gd7df087d1a-goog

[PATCH v5 09/22] perf jevents: Add ports metric group giving utilization on Intel

[Ian Rogers]

The ports metric group contains a metric for each port giving its
utilization as a ratio of cycles. The metrics are created by looking
for UOPS_DISPATCHED.PORT events.

Signed-off-by: Ian Rogers <irogers@google.com>
---
 tools/perf/pmu-events/intel_metrics.py | 33 ++++++++++++++++++++++++--
 1 file changed, 31 insertions(+), 2 deletions(-)

diff --git a/tools/perf/pmu-events/intel_metrics.py b/tools/perf/pmu-events/intel_metrics.py
index cfeafb58e8b4..288903707bc8 100755
--- a/tools/perf/pmu-events/intel_metrics.py
+++ b/tools/perf/pmu-events/intel_metrics.py
@@ -1,12 +1,13 @@
 #!/usr/bin/env python3
 # SPDX-License-Identifier: (LGPL-2.1 OR BSD-2-Clause)
 from metric import (d_ratio, has_event, max, CheckPmu, Event, JsonEncodeMetric,
-                    JsonEncodeMetricGroupDescriptions, LoadEvents, Metric,
-                    MetricGroup, MetricRef, Select)
+                    JsonEncodeMetricGroupDescriptions, Literal, LoadEvents,
+                    Metric, MetricGroup, MetricRef, Select)
 import argparse
 import json
 import math
 import os
+import re
 from typing import Optional
 
 # Global command line arguments.
@@ -261,6 +262,33 @@ def IntelBr():
                      description="breakdown of retired branch instructions")
 
 
+def IntelPorts() -> Optional[MetricGroup]:
+  pipeline_events = json.load(open(f"{_args.events_path}/x86/{_args.model}/pipeline.json"))
+
+  core_cycles = Event("CPU_CLK_UNHALTED.THREAD_P_ANY",
+                      "CPU_CLK_UNHALTED.DISTRIBUTED",
+                      "cycles")
+  # Number of CPU cycles scaled for SMT.
+  smt_cycles = Select(core_cycles / 2, Literal("#smt_on"), core_cycles)
+
+  metrics = []
+  for x in pipeline_events:
+    if "EventName" in x and re.search("^UOPS_DISPATCHED.PORT", x["EventName"]):
+      name = x["EventName"]
+      port = re.search(r"(PORT_[0-9].*)", name).group(0).lower()
+      if name.endswith("_CORE"):
+        cyc = core_cycles
+      else:
+        cyc = smt_cycles
+      metrics.append(Metric(f"lpm_{port}", f"{port} utilization (higher is better)",
+                            d_ratio(Event(name), cyc), "100%"))
+  if len(metrics) == 0:
+    return None
+
+  return MetricGroup("lpm_ports", metrics, "functional unit (port) utilization -- "
+                     "fraction of cycles each port is utilized (higher is better)")
+
+
 def IntelSwpf() -> Optional[MetricGroup]:
   ins = Event("instructions")
   try:
@@ -353,6 +381,7 @@ def main() -> None:
       Smi(),
       Tsx(),
       IntelBr(),
+      IntelPorts(),
       IntelSwpf(),
   ])
 
-- 
2.51.0.318.gd7df087d1a-goog

[PATCH v5 10/22] perf jevents: Add L2 metrics for Intel

[Ian Rogers]

Give a breakdown of various L2 counters as metrics, including totals,
reads, hardware prefetcher, RFO, code and evictions.

Signed-off-by: Ian Rogers <irogers@google.com>
---
 tools/perf/pmu-events/intel_metrics.py | 170 +++++++++++++++++++++++++
 1 file changed, 170 insertions(+)

diff --git a/tools/perf/pmu-events/intel_metrics.py b/tools/perf/pmu-events/intel_metrics.py
index 288903707bc8..1bac424aca6a 100755
--- a/tools/perf/pmu-events/intel_metrics.py
+++ b/tools/perf/pmu-events/intel_metrics.py
@@ -262,6 +262,175 @@ def IntelBr():
                      description="breakdown of retired branch instructions")
 
 
+def IntelL2() -> Optional[MetricGroup]:
+  try:
+    DC_HIT = Event("L2_RQSTS.DEMAND_DATA_RD_HIT")
+  except:
+    return None
+  try:
+    DC_MISS = Event("L2_RQSTS.DEMAND_DATA_RD_MISS")
+    l2_dmnd_miss = DC_MISS
+    l2_dmnd_rd_all = DC_MISS + DC_HIT
+  except:
+    DC_ALL = Event("L2_RQSTS.ALL_DEMAND_DATA_RD")
+    l2_dmnd_miss = DC_ALL - DC_HIT
+    l2_dmnd_rd_all = DC_ALL
+  l2_dmnd_mrate = d_ratio(l2_dmnd_miss, interval_sec)
+  l2_dmnd_rrate = d_ratio(l2_dmnd_rd_all, interval_sec)
+
+  DC_PFH = None
+  DC_PFM = None
+  l2_pf_all = None
+  l2_pf_mrate = None
+  l2_pf_rrate = None
+  try:
+    DC_PFH = Event("L2_RQSTS.PF_HIT")
+    DC_PFM = Event("L2_RQSTS.PF_MISS")
+    l2_pf_all = DC_PFH + DC_PFM
+    l2_pf_mrate = d_ratio(DC_PFM, interval_sec)
+    l2_pf_rrate = d_ratio(l2_pf_all, interval_sec)
+  except:
+    pass
+
+  DC_RFOH = None
+  DC_RFOM = None
+  l2_rfo_all = None
+  l2_rfo_mrate  = None
+  l2_rfo_rrate  = None
+  try:
+    DC_RFOH = Event("L2_RQSTS.RFO_HIT")
+    DC_RFOM = Event("L2_RQSTS.RFO_MISS")
+    l2_rfo_all = DC_RFOH + DC_RFOM
+    l2_rfo_mrate  = d_ratio(DC_RFOM, interval_sec)
+    l2_rfo_rrate  = d_ratio(l2_rfo_all, interval_sec)
+  except:
+    pass
+
+  DC_CH = None
+  try:
+    DC_CH = Event("L2_RQSTS.CODE_RD_HIT")
+  except:
+    pass
+  DC_CM = Event("L2_RQSTS.CODE_RD_MISS")
+  DC_IN = Event("L2_LINES_IN.ALL")
+  DC_OUT_NS = None
+  DC_OUT_S = None
+  l2_lines_out = None
+  l2_out_rate = None
+  wbn = None
+  isd = None
+  try:
+    DC_OUT_NS = Event("L2_LINES_OUT.NON_SILENT",
+                      "L2_LINES_OUT.DEMAND_DIRTY",
+                      "L2_LINES_IN.S")
+    DC_OUT_S = Event("L2_LINES_OUT.SILENT",
+                     "L2_LINES_OUT.DEMAND_CLEAN",
+                     "L2_LINES_IN.I")
+    if DC_OUT_S.name == "L2_LINES_OUT.SILENT" and (
+        args.model.startswith("skylake") or
+        args.model == "cascadelakex"):
+      DC_OUT_S.name = "L2_LINES_OUT.SILENT/any/"
+    # bring is back to per-CPU
+    l2_s  = Select(DC_OUT_S / 2, Literal("#smt_on"), DC_OUT_S)
+    l2_ns = DC_OUT_NS
+    l2_lines_out = l2_s + l2_ns;
+    l2_out_rate = d_ratio(l2_lines_out, interval_sec);
+    nlr = max(l2_ns - DC_WB_U - DC_WB_D, 0)
+    wbn = d_ratio(nlr, interval_sec)
+    isd = d_ratio(l2_s, interval_sec)
+  except:
+    pass
+  DC_OUT_U = None
+  l2_pf_useless = None
+  l2_useless_rate = None
+  try:
+    DC_OUT_U = Event("L2_LINES_OUT.USELESS_HWPF")
+    l2_pf_useless = DC_OUT_U
+    l2_useless_rate = d_ratio(l2_pf_useless, interval_sec)
+  except:
+    pass
+  DC_WB_U = None
+  DC_WB_D = None
+  wbu = None
+  wbd = None
+  try:
+    DC_WB_U = Event("IDI_MISC.WB_UPGRADE")
+    DC_WB_D = Event("IDI_MISC.WB_DOWNGRADE")
+    wbu = d_ratio(DC_WB_U, interval_sec)
+    wbd = d_ratio(DC_WB_D, interval_sec)
+  except:
+    pass
+
+  l2_lines_in = DC_IN
+  l2_code_all = (DC_CH + DC_CM) if DC_CH else None
+  l2_code_rate = d_ratio(l2_code_all, interval_sec) if DC_CH else None
+  l2_code_miss_rate = d_ratio(DC_CM, interval_sec)
+  l2_in_rate = d_ratio(l2_lines_in, interval_sec)
+
+  return MetricGroup("lpm_l2", [
+    MetricGroup("lpm_l2_totals", [
+      Metric("lpm_l2_totals_in", "L2 cache total in per second",
+             l2_in_rate, "In/s"),
+      Metric("lpm_l2_totals_out", "L2 cache total out per second",
+             l2_out_rate, "Out/s") if l2_out_rate else None,
+    ]),
+    MetricGroup("lpm_l2_rd", [
+      Metric("lpm_l2_rd_hits", "L2 cache data read hits",
+             d_ratio(DC_HIT, l2_dmnd_rd_all), "100%"),
+      Metric("lpm_l2_rd_hits", "L2 cache data read hits",
+             d_ratio(l2_dmnd_miss, l2_dmnd_rd_all), "100%"),
+      Metric("lpm_l2_rd_requests", "L2 cache data read requests per second",
+             l2_dmnd_rrate, "requests/s"),
+      Metric("lpm_l2_rd_misses", "L2 cache data read misses per second",
+             l2_dmnd_mrate, "misses/s"),
+    ]),
+    MetricGroup("lpm_l2_hwpf", [
+      Metric("lpm_l2_hwpf_hits", "L2 cache hardware prefetcher hits",
+             d_ratio(DC_PFH, l2_pf_all), "100%"),
+      Metric("lpm_l2_hwpf_misses", "L2 cache hardware prefetcher misses",
+             d_ratio(DC_PFM, l2_pf_all), "100%"),
+      Metric("lpm_l2_hwpf_useless", "L2 cache hardware prefetcher useless prefetches per second",
+             l2_useless_rate, "100%") if l2_useless_rate else None,
+      Metric("lpm_l2_hwpf_requests", "L2 cache hardware prefetcher requests per second",
+             l2_pf_rrate, "100%"),
+      Metric("lpm_l2_hwpf_misses", "L2 cache hardware prefetcher misses per second",
+             l2_pf_mrate, "100%"),
+    ]) if DC_PFH else None,
+    MetricGroup("lpm_l2_rfo", [
+      Metric("lpm_l2_rfo_hits", "L2 cache request for ownership (RFO) hits",
+             d_ratio(DC_RFOH, l2_rfo_all), "100%"),
+      Metric("lpm_l2_rfo_misses", "L2 cache request for ownership (RFO) misses",
+             d_ratio(DC_RFOM, l2_rfo_all), "100%"),
+      Metric("lpm_l2_rfo_requests", "L2 cache request for ownership (RFO) requests per second",
+             l2_rfo_rrate, "requests/s"),
+      Metric("lpm_l2_rfo_misses", "L2 cache request for ownership (RFO) misses per second",
+             l2_rfo_mrate, "misses/s"),
+    ]) if DC_RFOH else None,
+    MetricGroup("lpm_l2_code", [
+      Metric("lpm_l2_code_hits", "L2 cache code hits",
+             d_ratio(DC_CH, l2_code_all), "100%") if DC_CH else None,
+      Metric("lpm_l2_code_misses", "L2 cache code misses",
+             d_ratio(DC_CM, l2_code_all), "100%") if DC_CH else None,
+      Metric("lpm_l2_code_requests", "L2 cache code requests per second",
+             l2_code_rate, "requests/s") if DC_CH else None,
+      Metric("lpm_l2_code_misses", "L2 cache code misses per second",
+             l2_code_miss_rate, "misses/s"),
+    ]),
+    MetricGroup("lpm_l2_evict", [
+      MetricGroup("lpm_l2_evict_mef_lines", [
+        Metric("lpm_l2_evict_mef_lines_l3_hot_lru", "L2 evictions M/E/F lines L3 hot LRU per second",
+               wbu, "HotLRU/s") if wbu else None,
+        Metric("lpm_l2_evict_mef_lines_l3_norm_lru", "L2 evictions M/E/F lines L3 normal LRU per second",
+               wbn, "NormLRU/s") if wbn else None,
+        Metric("lpm_l2_evict_mef_lines_dropped", "L2 evictions M/E/F lines dropped per second",
+               wbd, "dropped/s") if wbd else None,
+        Metric("lpm_l2_evict_is_lines_dropped", "L2 evictions I/S lines dropped per second",
+               isd, "dropped/s") if isd else None,
+      ]),
+    ]),
+  ], description = "L2 data cache analysis")
+
+
 def IntelPorts() -> Optional[MetricGroup]:
   pipeline_events = json.load(open(f"{_args.events_path}/x86/{_args.model}/pipeline.json"))
 
@@ -381,6 +550,7 @@ def main() -> None:
       Smi(),
       Tsx(),
       IntelBr(),
+      IntelL2(),
       IntelPorts(),
       IntelSwpf(),
   ])
-- 
2.51.0.318.gd7df087d1a-goog

[PATCH v5 11/22] perf jevents: Add load store breakdown metrics ldst for Intel

[Ian Rogers]

Give breakdown of number of instructions. Use the counter mask (cmask)
to show the number of cycles taken to retire the instructions.

Signed-off-by: Ian Rogers <irogers@google.com>
---
 tools/perf/pmu-events/intel_metrics.py | 86 +++++++++++++++++++++++++-
 1 file changed, 85 insertions(+), 1 deletion(-)

diff --git a/tools/perf/pmu-events/intel_metrics.py b/tools/perf/pmu-events/intel_metrics.py
index 1bac424aca6a..03983107c5c0 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, CheckPmu, Event, JsonEncodeMetric,
                     JsonEncodeMetricGroupDescriptions, Literal, LoadEvents,
-                    Metric, MetricGroup, MetricRef, Select)
+                    Metric, MetricConstraint, MetricGroup, MetricRef, Select)
 import argparse
 import json
 import math
@@ -522,6 +522,89 @@ def IntelSwpf() -> Optional[MetricGroup]:
   ], description="Software prefetch instruction breakdown")
 
 
+def IntelLdSt() -> Optional[MetricGroup]:
+  if _args.model in [
+      "bonnell",
+      "nehalemep",
+      "nehalemex",
+      "westmereep-dp",
+      "westmereep-sp",
+      "westmereex",
+  ]:
+    return None
+  LDST_LD = Event("MEM_INST_RETIRED.ALL_LOADS", "MEM_UOPS_RETIRED.ALL_LOADS")
+  LDST_ST = Event("MEM_INST_RETIRED.ALL_STORES", "MEM_UOPS_RETIRED.ALL_STORES")
+  LDST_LDC1 = Event(f"{LDST_LD.name}/cmask=1/")
+  LDST_STC1 = Event(f"{LDST_ST.name}/cmask=1/")
+  LDST_LDC2 = Event(f"{LDST_LD.name}/cmask=2/")
+  LDST_STC2 = Event(f"{LDST_ST.name}/cmask=2/")
+  LDST_LDC3 = Event(f"{LDST_LD.name}/cmask=3/")
+  LDST_STC3 = Event(f"{LDST_ST.name}/cmask=3/")
+  ins = Event("instructions")
+  LDST_CYC = Event("CPU_CLK_UNHALTED.THREAD",
+                   "CPU_CLK_UNHALTED.CORE_P",
+                   "CPU_CLK_UNHALTED.THREAD_P")
+  LDST_PRE = None
+  try:
+    LDST_PRE = Event("LOAD_HIT_PREFETCH.SWPF", "LOAD_HIT_PRE.SW_PF")
+  except:
+    pass
+  LDST_AT = None
+  try:
+    LDST_AT = Event("MEM_INST_RETIRED.LOCK_LOADS")
+  except:
+    pass
+  cyc  = LDST_CYC
+
+  ld_rate = d_ratio(LDST_LD, interval_sec)
+  st_rate = d_ratio(LDST_ST, interval_sec)
+  pf_rate = d_ratio(LDST_PRE, interval_sec) if LDST_PRE else None
+  at_rate = d_ratio(LDST_AT, interval_sec) if LDST_AT else None
+
+  ldst_ret_constraint = MetricConstraint.GROUPED_EVENTS
+  if LDST_LD.name == "MEM_UOPS_RETIRED.ALL_LOADS":
+    ldst_ret_constraint = MetricConstraint.NO_GROUP_EVENTS_NMI
+
+  return MetricGroup("lpm_ldst", [
+      MetricGroup("lpm_ldst_total", [
+          Metric("lpm_ldst_total_loads", "Load/store instructions total loads",
+                 ld_rate, "loads"),
+          Metric("lpm_ldst_total_stores", "Load/store instructions total stores",
+                 st_rate, "stores"),
+      ]),
+      MetricGroup("lpm_ldst_prcnt", [
+          Metric("lpm_ldst_prcnt_loads", "Percent of all instructions that are loads",
+                 d_ratio(LDST_LD, ins), "100%"),
+          Metric("lpm_ldst_prcnt_stores", "Percent of all instructions that are stores",
+                 d_ratio(LDST_ST, ins), "100%"),
+      ]),
+      MetricGroup("lpm_ldst_ret_lds", [
+          Metric("lpm_ldst_ret_lds_1", "Retired loads in 1 cycle",
+                 d_ratio(max(LDST_LDC1 - LDST_LDC2, 0), cyc), "100%",
+                 constraint = ldst_ret_constraint),
+          Metric("lpm_ldst_ret_lds_2", "Retired loads in 2 cycles",
+                 d_ratio(max(LDST_LDC2 - LDST_LDC3, 0), cyc), "100%",
+                 constraint = ldst_ret_constraint),
+          Metric("lpm_ldst_ret_lds_3", "Retired loads in 3 or more cycles",
+                 d_ratio(LDST_LDC3, cyc), "100%"),
+      ]),
+      MetricGroup("lpm_ldst_ret_sts", [
+          Metric("lpm_ldst_ret_sts_1", "Retired stores in 1 cycle",
+                 d_ratio(max(LDST_STC1 - LDST_STC2, 0), cyc), "100%",
+                 constraint = ldst_ret_constraint),
+          Metric("lpm_ldst_ret_sts_2", "Retired stores in 2 cycles",
+                 d_ratio(max(LDST_STC2 - LDST_STC3, 0), cyc), "100%",
+                 constraint = ldst_ret_constraint),
+          Metric("lpm_ldst_ret_sts_3", "Retired stores in 3 more cycles",
+                 d_ratio(LDST_STC3, cyc), "100%"),
+      ]),
+      Metric("lpm_ldst_ld_hit_swpf", "Load hit software prefetches per second",
+             pf_rate, "swpf/s") if pf_rate else None,
+      Metric("lpm_ldst_atomic_lds", "Atomic loads per second",
+             at_rate, "loads/s") if at_rate else None,
+  ], description = "Breakdown of load/store instructions")
+
+
 def main() -> None:
   global _args
 
@@ -551,6 +634,7 @@ def main() -> None:
       Tsx(),
       IntelBr(),
       IntelL2(),
+      IntelLdSt(),
       IntelPorts(),
       IntelSwpf(),
   ])
-- 
2.51.0.318.gd7df087d1a-goog

[PATCH v5 12/22] perf jevents: Add ILP metrics for Intel

[Ian Rogers]

Use the counter mask (cmask) to see how many cycles an instruction
takes to retire. Present as a set of ILP metrics.

Signed-off-by: Ian Rogers <irogers@google.com>
---
 tools/perf/pmu-events/intel_metrics.py | 39 ++++++++++++++++++++++++++
 1 file changed, 39 insertions(+)

diff --git a/tools/perf/pmu-events/intel_metrics.py b/tools/perf/pmu-events/intel_metrics.py
index 03983107c5c0..df0e1dce041c 100755
--- a/tools/perf/pmu-events/intel_metrics.py
+++ b/tools/perf/pmu-events/intel_metrics.py
@@ -262,6 +262,44 @@ def IntelBr():
                      description="breakdown of retired branch instructions")
 
 
+def IntelIlp() -> MetricGroup:
+  tsc = Event("msr/tsc/")
+  c0 = Event("msr/mperf/")
+  low = tsc - c0
+  inst_ret = Event("INST_RETIRED.ANY_P")
+  inst_ret_c = [Event(f"{inst_ret.name}/cmask={x}/") for x in range(1, 6)]
+  core_cycles = Event("CPU_CLK_UNHALTED.THREAD_P_ANY",
+                      "CPU_CLK_UNHALTED.DISTRIBUTED",
+                      "cycles")
+  ilp = [d_ratio(max(inst_ret_c[x] - inst_ret_c[x + 1], 0), core_cycles) for x in range(0, 4)]
+  ilp.append(d_ratio(inst_ret_c[4], core_cycles))
+  ilp0 = 1
+  for x in ilp:
+    ilp0 -= x
+  return MetricGroup("lpm_ilp", [
+      Metric("lpm_ilp_idle", "Lower power cycles as a percentage of all cycles",
+             d_ratio(low, tsc), "100%"),
+      Metric("lpm_ilp_inst_ret_0",
+             "Instructions retired in 0 cycles as a percentage of all cycles",
+             ilp0, "100%"),
+      Metric("lpm_ilp_inst_ret_1",
+             "Instructions retired in 1 cycles as a percentage of all cycles",
+             ilp[0], "100%"),
+      Metric("lpm_ilp_inst_ret_2",
+             "Instructions retired in 2 cycles as a percentage of all cycles",
+             ilp[1], "100%"),
+      Metric("lpm_ilp_inst_ret_3",
+             "Instructions retired in 3 cycles as a percentage of all cycles",
+             ilp[2], "100%"),
+      Metric("lpm_ilp_inst_ret_4",
+             "Instructions retired in 4 cycles as a percentage of all cycles",
+             ilp[3], "100%"),
+      Metric("lpm_ilp_inst_ret_5",
+             "Instructions retired in 5 or more cycles as a percentage of all cycles",
+             ilp[4], "100%"),
+  ])
+
+
 def IntelL2() -> Optional[MetricGroup]:
   try:
     DC_HIT = Event("L2_RQSTS.DEMAND_DATA_RD_HIT")
@@ -633,6 +671,7 @@ def main() -> None:
       Smi(),
       Tsx(),
       IntelBr(),
+      IntelIlp(),
       IntelL2(),
       IntelLdSt(),
       IntelPorts(),
-- 
2.51.0.318.gd7df087d1a-goog

[PATCH v5 13/22] perf jevents: Add context switch metrics for Intel

[Ian Rogers]

Metrics break down context switches for different kinds of
instruction.

Signed-off-by: Ian Rogers <irogers@google.com>
---
 tools/perf/pmu-events/intel_metrics.py | 55 ++++++++++++++++++++++++++
 1 file changed, 55 insertions(+)

diff --git a/tools/perf/pmu-events/intel_metrics.py b/tools/perf/pmu-events/intel_metrics.py
index df0e1dce041c..31ef0373d982 100755
--- a/tools/perf/pmu-events/intel_metrics.py
+++ b/tools/perf/pmu-events/intel_metrics.py
@@ -262,6 +262,60 @@ def IntelBr():
                      description="breakdown of retired branch instructions")
 
 
+def IntelCtxSw() -> MetricGroup:
+  cs = Event("context\-switches")
+  metrics = [
+      Metric("lpm_cs_rate", "Context switches per second", d_ratio(cs, interval_sec), "ctxsw/s")
+  ]
+
+  ev = Event("instructions")
+  metrics.append(Metric("lpm_cs_instr", "Instructions per context switch",
+                        d_ratio(ev, cs), "instr/cs"))
+
+  ev = Event("cycles")
+  metrics.append(Metric("lpm_cs_cycles", "Cycles per context switch",
+                        d_ratio(ev, cs), "cycles/cs"))
+
+  try:
+    ev = Event("MEM_INST_RETIRED.ALL_LOADS", "MEM_UOPS_RETIRED.ALL_LOADS")
+    metrics.append(Metric("lpm_cs_loads", "Loads per context switch",
+                          d_ratio(ev, cs), "loads/cs"))
+  except:
+    pass
+
+  try:
+    ev = Event("MEM_INST_RETIRED.ALL_STORES", "MEM_UOPS_RETIRED.ALL_STORES")
+    metrics.append(Metric("lpm_cs_stores", "Stores per context switch",
+                          d_ratio(ev, cs), "stores/cs"))
+  except:
+    pass
+
+  try:
+    ev = Event("BR_INST_RETIRED.NEAR_TAKEN", "BR_INST_RETIRED.TAKEN_JCC")
+    metrics.append(Metric("lpm_cs_br_taken", "Branches taken per context switch",
+                          d_ratio(ev, cs), "br_taken/cs"))
+  except:
+    pass
+
+  try:
+    l2_misses = (Event("L2_RQSTS.DEMAND_DATA_RD_MISS") +
+                 Event("L2_RQSTS.RFO_MISS") +
+                 Event("L2_RQSTS.CODE_RD_MISS"))
+    try:
+      l2_misses += Event("L2_RQSTS.HWPF_MISS", "L2_RQSTS.L2_PF_MISS", "L2_RQSTS.PF_MISS")
+    except:
+      pass
+
+    metrics.append(Metric("lpm_cs_l2_misses", "L2 misses per context switch",
+                          d_ratio(l2_misses, cs), "l2_misses/cs"))
+  except:
+    pass
+
+  return MetricGroup("lpm_cs", metrics,
+                     description = ("Number of context switches per second, instructions "
+                                    "retired & core cycles between context switches"))
+
+
 def IntelIlp() -> MetricGroup:
   tsc = Event("msr/tsc/")
   c0 = Event("msr/mperf/")
@@ -671,6 +725,7 @@ def main() -> None:
       Smi(),
       Tsx(),
       IntelBr(),
+      IntelCtxSw(),
       IntelIlp(),
       IntelL2(),
       IntelLdSt(),
-- 
2.51.0.318.gd7df087d1a-goog

[PATCH v5 14/22] perf jevents: Add FPU metrics for Intel

[Ian Rogers]

Metrics break down of floating point operations.

Signed-off-by: Ian Rogers <irogers@google.com>
---
 tools/perf/pmu-events/intel_metrics.py | 90 ++++++++++++++++++++++++++
 1 file changed, 90 insertions(+)

diff --git a/tools/perf/pmu-events/intel_metrics.py b/tools/perf/pmu-events/intel_metrics.py
index 31ef0373d982..f4d0676cdb77 100755
--- a/tools/perf/pmu-events/intel_metrics.py
+++ b/tools/perf/pmu-events/intel_metrics.py
@@ -316,6 +316,95 @@ def IntelCtxSw() -> MetricGroup:
                                     "retired & core cycles between context switches"))
 
 
+def IntelFpu() -> Optional[MetricGroup]:
+  cyc = Event("cycles")
+  try:
+    s_64 = Event("FP_ARITH_INST_RETIRED.SCALAR_SINGLE",
+                 "SIMD_INST_RETIRED.SCALAR_SINGLE")
+  except:
+    return None
+  d_64 = Event("FP_ARITH_INST_RETIRED.SCALAR_DOUBLE",
+               "SIMD_INST_RETIRED.SCALAR_DOUBLE")
+  s_128 = Event("FP_ARITH_INST_RETIRED.128B_PACKED_SINGLE",
+                "SIMD_INST_RETIRED.PACKED_SINGLE")
+
+  flop = s_64 + d_64 + 4 * s_128
+
+  d_128 = None
+  s_256 = None
+  d_256 = None
+  s_512 = None
+  d_512 = None
+  try:
+    d_128 = Event("FP_ARITH_INST_RETIRED.128B_PACKED_DOUBLE")
+    flop += 2 * d_128
+    s_256 = Event("FP_ARITH_INST_RETIRED.256B_PACKED_SINGLE")
+    flop += 8 * s_256
+    d_256 = Event("FP_ARITH_INST_RETIRED.256B_PACKED_DOUBLE")
+    flop += 4 * d_256
+    s_512 = Event("FP_ARITH_INST_RETIRED.512B_PACKED_SINGLE")
+    flop += 16 * s_512
+    d_512 = Event("FP_ARITH_INST_RETIRED.512B_PACKED_DOUBLE")
+    flop += 8 * d_512
+  except:
+    pass
+
+  f_assist = Event("ASSISTS.FP", "FP_ASSIST.ANY", "FP_ASSIST.S")
+  if f_assist in [
+      "ASSISTS.FP",
+      "FP_ASSIST.S",
+  ]:
+    f_assist += "/cmask=1/"
+
+  flop_r = d_ratio(flop, interval_sec)
+  flop_c = d_ratio(flop, cyc)
+  nmi_constraint = MetricConstraint.GROUPED_EVENTS
+  if f_assist.name == "ASSISTS.FP": # Icelake+
+    nmi_constraint = MetricConstraint.NO_GROUP_EVENTS_NMI
+  def FpuMetrics(group: str, fl: Optional[Event], mult: int, desc: str) -> Optional[MetricGroup]:
+    if not fl:
+      return None
+
+    f = fl * mult
+    fl_r = d_ratio(f, interval_sec)
+    r_s = d_ratio(fl, interval_sec)
+    return MetricGroup(group, [
+        Metric(f"{group}_of_total", desc + " floating point operations per second",
+               d_ratio(f, flop), "100%"),
+        Metric(f"{group}_flops", desc + " floating point operations per second",
+               fl_r, "flops/s"),
+        Metric(f"{group}_ops", desc + " operations per second",
+               r_s, "ops/s"),
+    ])
+
+  return MetricGroup("lpm_fpu", [
+      MetricGroup("lpm_fpu_total", [
+          Metric("lpm_fpu_total_flops", "Floating point operations per second",
+                 flop_r, "flops/s"),
+          Metric("lpm_fpu_total_flopc", "Floating point operations per cycle",
+                 flop_c, "flops/cycle", constraint=nmi_constraint),
+      ]),
+      MetricGroup("lpm_fpu_64", [
+          FpuMetrics("lpm_fpu_64_single", s_64, 1, "64-bit single"),
+          FpuMetrics("lpm_fpu_64_double", d_64, 1, "64-bit double"),
+      ]),
+      MetricGroup("lpm_fpu_128", [
+          FpuMetrics("lpm_fpu_128_single", s_128, 4, "128-bit packed single"),
+          FpuMetrics("lpm_fpu_128_double", d_128, 2, "128-bit packed double"),
+      ]),
+      MetricGroup("lpm_fpu_256", [
+          FpuMetrics("lpm_fpu_256_single", s_256, 8, "128-bit packed single"),
+          FpuMetrics("lpm_fpu_256_double", d_256, 4, "128-bit packed double"),
+      ]),
+      MetricGroup("lpm_fpu_512", [
+          FpuMetrics("lpm_fpu_512_single", s_512, 16, "128-bit packed single"),
+          FpuMetrics("lpm_fpu_512_double", d_512, 8, "128-bit packed double"),
+      ]),
+      Metric("lpm_fpu_assists", "FP assists as a percentage of cycles",
+             d_ratio(f_assist, cyc), "100%"),
+  ])
+
+
 def IntelIlp() -> MetricGroup:
   tsc = Event("msr/tsc/")
   c0 = Event("msr/mperf/")
@@ -726,6 +815,7 @@ def main() -> None:
       Tsx(),
       IntelBr(),
       IntelCtxSw(),
+      IntelFpu(),
       IntelIlp(),
       IntelL2(),
       IntelLdSt(),
-- 
2.51.0.318.gd7df087d1a-goog

[PATCH v5 15/22] perf jevents: Add Miss Level Parallelism (MLP) metric for Intel

[Ian Rogers]

Number of outstanding load misses per cycle.

Signed-off-by: Ian Rogers <irogers@google.com>
---
 tools/perf/pmu-events/intel_metrics.py | 15 +++++++++++++++
 1 file changed, 15 insertions(+)

diff --git a/tools/perf/pmu-events/intel_metrics.py b/tools/perf/pmu-events/intel_metrics.py
index f4d0676cdb77..262bfd539262 100755
--- a/tools/perf/pmu-events/intel_metrics.py
+++ b/tools/perf/pmu-events/intel_metrics.py
@@ -612,6 +612,20 @@ def IntelL2() -> Optional[MetricGroup]:
   ], description = "L2 data cache analysis")
 
 
+def IntelMlp() -> Optional[Metric]:
+  try:
+    l1d = Event("L1D_PEND_MISS.PENDING")
+    l1dc = Event("L1D_PEND_MISS.PENDING_CYCLES")
+  except:
+    return None
+
+  l1dc = Select(l1dc / 2, Literal("#smt_on"), l1dc)
+  ml = d_ratio(l1d, l1dc)
+  return Metric("lpm_mlp",
+                "Miss level parallelism - number of outstanding load misses per cycle (higher is better)",
+                ml, "load_miss_pending/cycle")
+
+
 def IntelPorts() -> Optional[MetricGroup]:
   pipeline_events = json.load(open(f"{_args.events_path}/x86/{_args.model}/pipeline.json"))
 
@@ -819,6 +833,7 @@ def main() -> None:
       IntelIlp(),
       IntelL2(),
       IntelLdSt(),
+      IntelMlp(),
       IntelPorts(),
       IntelSwpf(),
   ])
-- 
2.51.0.318.gd7df087d1a-goog

[PATCH v5 16/22] perf jevents: Add mem_bw metric for Intel

[Ian Rogers]

Break down memory bandwidth using uncore counters. For many models
this matches the memory_bandwidth_* metrics, but these metrics aren't
made available on all models. Add support for free running counters.
Query the event json when determining which what events/counters are
available.

Signed-off-by: Ian Rogers <irogers@google.com>
---
 tools/perf/pmu-events/intel_metrics.py | 62 ++++++++++++++++++++++++++
 1 file changed, 62 insertions(+)

diff --git a/tools/perf/pmu-events/intel_metrics.py b/tools/perf/pmu-events/intel_metrics.py
index 262bfd539262..82a5b037edf9 100755
--- a/tools/perf/pmu-events/intel_metrics.py
+++ b/tools/perf/pmu-events/intel_metrics.py
@@ -800,6 +800,67 @@ def IntelLdSt() -> Optional[MetricGroup]:
   ], description = "Breakdown of load/store instructions")
 
 
+def UncoreMemBw() -> Optional[MetricGroup]:
+  mem_events = []
+  try:
+    mem_events = json.load(open(f"{os.path.dirname(os.path.realpath(__file__))}"
+                                f"/arch/x86/{args.model}/uncore-memory.json"))
+  except:
+    pass
+
+  ddr_rds = 0
+  ddr_wrs = 0
+  ddr_total = 0
+  for x in mem_events:
+    if "EventName" in x:
+      name = x["EventName"]
+      if re.search("^UNC_MC[0-9]+_RDCAS_COUNT_FREERUN", name):
+        ddr_rds += Event(name)
+      elif re.search("^UNC_MC[0-9]+_WRCAS_COUNT_FREERUN", name):
+        ddr_wrs += Event(name)
+      #elif re.search("^UNC_MC[0-9]+_TOTAL_REQCOUNT_FREERUN", name):
+      #  ddr_total += Event(name)
+
+  if ddr_rds == 0:
+    try:
+      ddr_rds = Event("UNC_M_CAS_COUNT.RD")
+      ddr_wrs = Event("UNC_M_CAS_COUNT.WR")
+    except:
+      return None
+
+  ddr_total = ddr_rds + ddr_wrs
+
+  pmm_rds = 0
+  pmm_wrs = 0
+  try:
+    pmm_rds = Event("UNC_M_PMM_RPQ_INSERTS")
+    pmm_wrs = Event("UNC_M_PMM_WPQ_INSERTS")
+  except:
+    pass
+
+  pmm_total = pmm_rds + pmm_wrs
+
+  scale = 64 / 1_000_000
+  return MetricGroup("lpm_mem_bw", [
+      MetricGroup("lpm_mem_bw_ddr", [
+          Metric("lpm_mem_bw_ddr_read", "DDR memory read bandwidth",
+                 d_ratio(ddr_rds, interval_sec), f"{scale}MB/s"),
+          Metric("lpm_mem_bw_ddr_write", "DDR memory write bandwidth",
+                 d_ratio(ddr_wrs, interval_sec), f"{scale}MB/s"),
+          Metric("lpm_mem_bw_ddr_total", "DDR memory write bandwidth",
+                 d_ratio(ddr_total, interval_sec), f"{scale}MB/s"),
+      ], description = "DDR Memory Bandwidth"),
+      MetricGroup("lpm_mem_bw_pmm", [
+          Metric("lpm_mem_bw_pmm_read", "PMM memory read bandwidth",
+                 d_ratio(pmm_rds, interval_sec), f"{scale}MB/s"),
+          Metric("lpm_mem_bw_pmm_write", "PMM memory write bandwidth",
+                 d_ratio(pmm_wrs, interval_sec), f"{scale}MB/s"),
+          Metric("lpm_mem_bw_pmm_total", "PMM memory write bandwidth",
+                 d_ratio(pmm_total, interval_sec), f"{scale}MB/s"),
+      ], description = "PMM Memory Bandwidth") if pmm_rds != 0 else None,
+  ], description = "Memory Bandwidth")
+
+
 def main() -> None:
   global _args
 
@@ -836,6 +897,7 @@ def main() -> None:
       IntelMlp(),
       IntelPorts(),
       IntelSwpf(),
+      UncoreMemBw(),
   ])
 
 
-- 
2.51.0.318.gd7df087d1a-goog

[PATCH v5 17/22] perf jevents: Add local/remote "mem" breakdown metrics for Intel

[Ian Rogers]

Breakdown local and remote memory bandwidth, read and writes. The
implementation uses the HA and CHA PMUs present in server models
broadwellde, broadwellx cascadelakex, emeraldrapids, haswellx,
icelakex, ivytown, sapphirerapids and skylakex.

Signed-off-by: Ian Rogers <irogers@google.com>
---
 tools/perf/pmu-events/intel_metrics.py | 27 ++++++++++++++++++++++++++
 1 file changed, 27 insertions(+)

diff --git a/tools/perf/pmu-events/intel_metrics.py b/tools/perf/pmu-events/intel_metrics.py
index 82a5b037edf9..782bc7f8926b 100755
--- a/tools/perf/pmu-events/intel_metrics.py
+++ b/tools/perf/pmu-events/intel_metrics.py
@@ -800,6 +800,32 @@ def IntelLdSt() -> Optional[MetricGroup]:
   ], description = "Breakdown of load/store instructions")
 
 
+def UncoreMem() -> Optional[MetricGroup]:
+  try:
+    loc_rds = Event("UNC_CHA_REQUESTS.READS_LOCAL", "UNC_H_REQUESTS.READS_LOCAL")
+    rem_rds = Event("UNC_CHA_REQUESTS.READS_REMOTE", "UNC_H_REQUESTS.READS_REMOTE")
+    loc_wrs = Event("UNC_CHA_REQUESTS.WRITES_LOCAL", "UNC_H_REQUESTS.WRITES_LOCAL")
+    rem_wrs = Event("UNC_CHA_REQUESTS.WRITES_REMOTE", "UNC_H_REQUESTS.WRITES_REMOTE")
+  except:
+    return None
+
+  scale = 64 / 1_000_000
+  return MetricGroup("lpm_mem", [
+      MetricGroup("lpm_mem_local", [
+          Metric("lpm_mem_local_read", "Local memory read bandwidth not including directory updates",
+                 d_ratio(loc_rds, interval_sec), f"{scale}MB/s"),
+          Metric("lpm_mem_local_write", "Local memory write bandwidth not including directory updates",
+                 d_ratio(loc_wrs, interval_sec), f"{scale}MB/s"),
+      ]),
+      MetricGroup("lpm_mem_remote", [
+          Metric("lpm_mem_remote_read", "Remote memory read bandwidth not including directory updates",
+                 d_ratio(rem_rds, interval_sec), f"{scale}MB/s"),
+          Metric("lpm_mem_remote_write", "Remote memory write bandwidth not including directory updates",
+                 d_ratio(rem_wrs, interval_sec), f"{scale}MB/s"),
+      ]),
+  ], description = "Memory Bandwidth breakdown local vs. remote (remote requests in). directory updates not included")
+
+
 def UncoreMemBw() -> Optional[MetricGroup]:
   mem_events = []
   try:
@@ -897,6 +923,7 @@ def main() -> None:
       IntelMlp(),
       IntelPorts(),
       IntelSwpf(),
+      UncoreMem(),
       UncoreMemBw(),
   ])
 
-- 
2.51.0.318.gd7df087d1a-goog

[PATCH v5 18/22] perf jevents: Add dir breakdown metrics for Intel

[Ian Rogers]

Breakdown directory hit, misses and requests. The implementation uses
the M2M and CHA PMUs present in server models broadwellde, broadwellx
cascadelakex, emeraldrapids, icelakex, sapphirerapids and skylakex.

Signed-off-by: Ian Rogers <irogers@google.com>
---
 tools/perf/pmu-events/intel_metrics.py | 36 ++++++++++++++++++++++++++
 1 file changed, 36 insertions(+)

diff --git a/tools/perf/pmu-events/intel_metrics.py b/tools/perf/pmu-events/intel_metrics.py
index 782bc7f8926b..808e006addda 100755
--- a/tools/perf/pmu-events/intel_metrics.py
+++ b/tools/perf/pmu-events/intel_metrics.py
@@ -800,6 +800,41 @@ def IntelLdSt() -> Optional[MetricGroup]:
   ], description = "Breakdown of load/store instructions")
 
 
+def UncoreDir() -> Optional[MetricGroup]:
+  try:
+    m2m_upd = Event("UNC_M2M_DIRECTORY_UPDATE.ANY")
+    m2m_hits = Event("UNC_M2M_DIRECTORY_HIT.DIRTY_I")
+    # Turn the umask into a ANY rather than DIRTY_I filter.
+    m2m_hits.name += "/umask=0xFF,name=UNC_M2M_DIRECTORY_HIT.ANY/"
+    m2m_miss = Event("UNC_M2M_DIRECTORY_MISS.DIRTY_I")
+    # Turn the umask into a ANY rather than DIRTY_I filter.
+    m2m_miss.name += "/umask=0xFF,name=UNC_M2M_DIRECTORY_MISS.ANY/"
+    cha_upd = Event("UNC_CHA_DIR_UPDATE.HA")
+    # Turn the umask into a ANY rather than HA filter.
+    cha_upd.name += "/umask=3,name=UNC_CHA_DIR_UPDATE.ANY/"
+  except:
+    return None
+
+  m2m_total = m2m_hits + m2m_miss
+  upd = m2m_upd + cha_upd # in cache lines
+  upd_r = upd / interval_sec
+  look_r = m2m_total / interval_sec
+
+  scale = 64 / 1_000_000 # Cache lines to MB
+  return MetricGroup("lpm_dir", [
+      Metric("lpm_dir_lookup_rate", "",
+             d_ratio(m2m_total, interval_sec), "requests/s"),
+      Metric("lpm_dir_lookup_hits", "",
+             d_ratio(m2m_hits, m2m_total), "100%"),
+      Metric("lpm_dir_lookup_misses", "",
+             d_ratio(m2m_miss, m2m_total), "100%"),
+      Metric("lpm_dir_update_requests", "",
+             d_ratio(m2m_upd + cha_upd, interval_sec), "requests/s"),
+      Metric("lpm_dir_update_bw", "",
+             d_ratio(m2m_upd + cha_upd, interval_sec), f"{scale}MB/s"),
+  ])
+
+
 def UncoreMem() -> Optional[MetricGroup]:
   try:
     loc_rds = Event("UNC_CHA_REQUESTS.READS_LOCAL", "UNC_H_REQUESTS.READS_LOCAL")
@@ -923,6 +958,7 @@ def main() -> None:
       IntelMlp(),
       IntelPorts(),
       IntelSwpf(),
+      UncoreDir(),
       UncoreMem(),
       UncoreMemBw(),
   ])
-- 
2.51.0.318.gd7df087d1a-goog

[PATCH v5 19/22] perf jevents: Add C-State metrics from the PCU PMU for Intel

[Ian Rogers]

Use occupancy events fixed in:
https://lore.kernel.org/lkml/20240226201517.3540187-1-irogers@google.com/

Metrics are at the socket level referring to cores, not hyperthreads.

Signed-off-by: Ian Rogers <irogers@google.com>
---
 tools/perf/pmu-events/intel_metrics.py | 27 ++++++++++++++++++++++++++
 1 file changed, 27 insertions(+)

diff --git a/tools/perf/pmu-events/intel_metrics.py b/tools/perf/pmu-events/intel_metrics.py
index 808e006addda..d822352139f2 100755
--- a/tools/perf/pmu-events/intel_metrics.py
+++ b/tools/perf/pmu-events/intel_metrics.py
@@ -800,6 +800,32 @@ def IntelLdSt() -> Optional[MetricGroup]:
   ], description = "Breakdown of load/store instructions")
 
 
+def UncoreCState() -> Optional[MetricGroup]:
+  try:
+    pcu_ticks = Event("UNC_P_CLOCKTICKS")
+    c0 = Event("UNC_P_POWER_STATE_OCCUPANCY.CORES_C0")
+    c3 = Event("UNC_P_POWER_STATE_OCCUPANCY.CORES_C3")
+    c6 = Event("UNC_P_POWER_STATE_OCCUPANCY.CORES_C6")
+  except:
+    return None
+
+  num_cores = Literal("#num_cores") / Literal("#num_packages")
+
+  max_cycles   = pcu_ticks * num_cores;
+  total_cycles = c0 + c3 + c6
+
+  # remove fused-off cores which show up in C6/C7.
+  c6 = Select(max(c6 - (total_cycles - max_cycles), 0),
+              total_cycles > max_cycles,
+              c6)
+
+  return MetricGroup("lpm_cstate", [
+      Metric("lpm_cstate_c0", "C-State cores in C0/C1", d_ratio(c0, pcu_ticks), "cores"),
+      Metric("lpm_cstate_c3", "C-State cores in C3", d_ratio(c3, pcu_ticks), "cores"),
+      Metric("lpm_cstate_c6", "C-State cores in C6/C7", d_ratio(c6, pcu_ticks), "cores"),
+  ])
+
+
 def UncoreDir() -> Optional[MetricGroup]:
   try:
     m2m_upd = Event("UNC_M2M_DIRECTORY_UPDATE.ANY")
@@ -958,6 +984,7 @@ def main() -> None:
       IntelMlp(),
       IntelPorts(),
       IntelSwpf(),
+      UncoreCState(),
       UncoreDir(),
       UncoreMem(),
       UncoreMemBw(),
-- 
2.51.0.318.gd7df087d1a-goog

[PATCH v5 20/22] perf jevents: Add local/remote miss latency metrics for Intel

[Ian Rogers]

Derive from CBOX/CHA occupancy and inserts the average latency as is
provided in Intel's uncore performance monitoring reference.

Signed-off-by: Ian Rogers <irogers@google.com>
---
 tools/perf/pmu-events/intel_metrics.py | 68 ++++++++++++++++++++++++--
 1 file changed, 65 insertions(+), 3 deletions(-)

diff --git a/tools/perf/pmu-events/intel_metrics.py b/tools/perf/pmu-events/intel_metrics.py
index d822352139f2..ea7749d34081 100755
--- a/tools/perf/pmu-events/intel_metrics.py
+++ b/tools/perf/pmu-events/intel_metrics.py
@@ -1,8 +1,9 @@
 #!/usr/bin/env python3
 # SPDX-License-Identifier: (LGPL-2.1 OR BSD-2-Clause)
-from metric import (d_ratio, has_event, max, CheckPmu, Event, JsonEncodeMetric,
-                    JsonEncodeMetricGroupDescriptions, Literal, LoadEvents,
-                    Metric, MetricConstraint, MetricGroup, MetricRef, Select)
+from metric import (d_ratio, has_event, max, source_count, CheckPmu, Event,
+                    JsonEncodeMetric, JsonEncodeMetricGroupDescriptions,
+                    Literal, LoadEvents, Metric, MetricConstraint, MetricGroup,
+                    MetricRef, Select)
 import argparse
 import json
 import math
@@ -612,6 +613,66 @@ def IntelL2() -> Optional[MetricGroup]:
   ], description = "L2 data cache analysis")
 
 
+def IntelMissLat() -> Optional[MetricGroup]:
+  try:
+    ticks = Event("UNC_CHA_CLOCKTICKS", "UNC_C_CLOCKTICKS")
+    data_rd_loc_occ = Event("UNC_CHA_TOR_OCCUPANCY.IA_MISS_DRD_LOCAL",
+                            "UNC_CHA_TOR_OCCUPANCY.IA_MISS",
+                            "UNC_C_TOR_OCCUPANCY.MISS_LOCAL_OPCODE",
+                            "UNC_C_TOR_OCCUPANCY.MISS_OPCODE")
+    data_rd_loc_ins = Event("UNC_CHA_TOR_INSERTS.IA_MISS_DRD_LOCAL",
+                            "UNC_CHA_TOR_INSERTS.IA_MISS",
+                            "UNC_C_TOR_INSERTS.MISS_LOCAL_OPCODE",
+                            "UNC_C_TOR_INSERTS.MISS_OPCODE")
+    data_rd_rem_occ = Event("UNC_CHA_TOR_OCCUPANCY.IA_MISS_DRD_REMOTE",
+                            "UNC_CHA_TOR_OCCUPANCY.IA_MISS",
+                            "UNC_C_TOR_OCCUPANCY.MISS_REMOTE_OPCODE",
+                            "UNC_C_TOR_OCCUPANCY.NID_MISS_OPCODE")
+    data_rd_rem_ins = Event("UNC_CHA_TOR_INSERTS.IA_MISS_DRD_REMOTE",
+                            "UNC_CHA_TOR_INSERTS.IA_MISS",
+                            "UNC_C_TOR_INSERTS.MISS_REMOTE_OPCODE",
+                            "UNC_C_TOR_INSERTS.NID_MISS_OPCODE")
+  except:
+    return None
+
+  if (data_rd_loc_occ.name == "UNC_C_TOR_OCCUPANCY.MISS_LOCAL_OPCODE" or
+      data_rd_loc_occ.name == "UNC_C_TOR_OCCUPANCY.MISS_OPCODE"):
+    data_rd = 0x182
+    for e in [data_rd_loc_occ, data_rd_loc_ins, data_rd_rem_occ, data_rd_rem_ins]:
+      e.name += f"/filter_opc={hex(data_rd)}/"
+  elif data_rd_loc_occ.name == "UNC_CHA_TOR_OCCUPANCY.IA_MISS":
+    # Demand Data Read - Full cache-line read requests from core for
+    # lines to be cached in S or E, typically for data
+    demand_data_rd = 0x202
+    #  LLC Prefetch Data - Uncore will first look up the line in the
+    #  LLC; for a cache hit, the LRU will be updated, on a miss, the
+    #  DRd will be initiated
+    llc_prefetch_data = 0x25a
+    local_filter = (f"/filter_opc0={hex(demand_data_rd)},"
+                    f"filter_opc1={hex(llc_prefetch_data)},"
+                    "filter_loc,filter_nm,filter_not_nm/")
+    remote_filter = (f"/filter_opc0={hex(demand_data_rd)},"
+                     f"filter_opc1={hex(llc_prefetch_data)},"
+                     "filter_rem,filter_nm,filter_not_nm/")
+    for e in [data_rd_loc_occ, data_rd_loc_ins]:
+      e.name += local_filter
+    for e in [data_rd_rem_occ, data_rd_rem_ins]:
+      e.name += remote_filter
+  else:
+    assert data_rd_loc_occ.name == "UNC_CHA_TOR_OCCUPANCY.IA_MISS_DRD_LOCAL", data_rd_loc_occ
+
+  ticks_per_cha = ticks / source_count(data_rd_loc_ins)
+  loc_lat = interval_sec * 1e9 * data_rd_loc_occ / (ticks_per_cha * data_rd_loc_ins)
+  ticks_per_cha = ticks / source_count(data_rd_rem_ins)
+  rem_lat = interval_sec * 1e9 * data_rd_rem_occ / (ticks_per_cha * data_rd_rem_ins)
+  return MetricGroup("lpm_miss_lat", [
+      Metric("lpm_miss_lat_loc", "Local to a socket miss latency in nanoseconds",
+             loc_lat, "ns"),
+      Metric("lpm_miss_lat_rem", "Remote to a socket miss latency in nanoseconds",
+             rem_lat, "ns"),
+  ])
+
+
 def IntelMlp() -> Optional[Metric]:
   try:
     l1d = Event("L1D_PEND_MISS.PENDING")
@@ -981,6 +1042,7 @@ def main() -> None:
       IntelIlp(),
       IntelL2(),
       IntelLdSt(),
+      IntelMissLat(),
       IntelMlp(),
       IntelPorts(),
       IntelSwpf(),
-- 
2.51.0.318.gd7df087d1a-goog

[PATCH v5 21/22] perf jevents: Add upi_bw metric for Intel

[Ian Rogers]

Break down UPI read and write bandwidth using uncore_upi counters.

Signed-off-by: Ian Rogers <irogers@google.com>
---
 tools/perf/pmu-events/intel_metrics.py | 22 ++++++++++++++++++++++
 1 file changed, 22 insertions(+)

diff --git a/tools/perf/pmu-events/intel_metrics.py b/tools/perf/pmu-events/intel_metrics.py
index ea7749d34081..19c7357c496a 100755
--- a/tools/perf/pmu-events/intel_metrics.py
+++ b/tools/perf/pmu-events/intel_metrics.py
@@ -1009,6 +1009,27 @@ def UncoreMemBw() -> Optional[MetricGroup]:
   ], description = "Memory Bandwidth")
 
 
+def UncoreUpiBw() -> Optional[MetricGroup]:
+  try:
+    upi_rds = Event("UNC_UPI_RxL_FLITS.ALL_DATA")
+    upi_wrs = Event("UNC_UPI_TxL_FLITS.ALL_DATA")
+  except:
+    return None
+
+  upi_total = upi_rds + upi_wrs
+
+  # From "Uncore Performance Monitoring": When measuring the amount of
+  # bandwidth consumed by transmission of the data (i.e. NOT including
+  # the header), it should be .ALL_DATA / 9 * 64B.
+  scale = (64 / 9) / 1_000_000
+  return MetricGroup("lpm_upi_bw", [
+      Metric("lpm_upi_bw_read", "UPI read bandwidth",
+             d_ratio(upi_rds, interval_sec), f"{scale}MB/s"),
+      Metric("lpm_upi_bw_write", "DDR memory write bandwidth",
+             d_ratio(upi_wrs, interval_sec), f"{scale}MB/s"),
+  ], description = "UPI Bandwidth")
+
+
 def main() -> None:
   global _args
 
@@ -1050,6 +1071,7 @@ def main() -> None:
       UncoreDir(),
       UncoreMem(),
       UncoreMemBw(),
+      UncoreUpiBw(),
   ])
 
 
-- 
2.51.0.318.gd7df087d1a-goog

[PATCH v5 22/22] perf jevents: Add mesh bandwidth saturation metric for Intel

[Ian Rogers]

Memory bandwidth saturation from CBOX/CHA events present in
broadwellde, broadwellx, cascadelakex, haswellx, icelakex, skylakex
and snowridgex.

Signed-off-by: Ian Rogers <irogers@google.com>
---
 tools/perf/pmu-events/intel_metrics.py | 17 +++++++++++++++++
 1 file changed, 17 insertions(+)

diff --git a/tools/perf/pmu-events/intel_metrics.py b/tools/perf/pmu-events/intel_metrics.py
index 19c7357c496a..7250e8c8eeba 100755
--- a/tools/perf/pmu-events/intel_metrics.py
+++ b/tools/perf/pmu-events/intel_metrics.py
@@ -1009,6 +1009,22 @@ def UncoreMemBw() -> Optional[MetricGroup]:
   ], description = "Memory Bandwidth")
 
 
+def UncoreMemSat() -> Optional[Metric]:
+  try:
+    clocks = Event("UNC_CHA_CLOCKTICKS", "UNC_C_CLOCKTICKS")
+    sat = Event("UNC_CHA_DISTRESS_ASSERTED.VERT", "UNC_CHA_FAST_ASSERTED.VERT",
+                "UNC_C_FAST_ASSERTED")
+  except:
+    return None
+
+  desc = ("Mesh Bandwidth saturation (% CBOX cycles with FAST signal asserted, "
+          "include QPI bandwidth saturation), lower is better")
+  if "UNC_CHA_" in sat.name:
+    desc = ("Mesh Bandwidth saturation (% CHA cycles with FAST signal asserted, "
+            "include UPI bandwidth saturation), lower is better")
+  return Metric("lpm_mem_sat", desc, d_ratio(sat, clocks), "100%")
+
+
 def UncoreUpiBw() -> Optional[MetricGroup]:
   try:
     upi_rds = Event("UNC_UPI_RxL_FLITS.ALL_DATA")
@@ -1071,6 +1087,7 @@ def main() -> None:
       UncoreDir(),
       UncoreMem(),
       UncoreMemBw(),
+      UncoreMemSat(),
       UncoreUpiBw(),
   ])
 
-- 
2.51.0.318.gd7df087d1a-goog