From: Kan Liang <kan.li...@intel.com>
There could be different types of memory in the system. E.g normal
System Memory, Persistent Memory. To understand how the workload maps to
those memories, it's important to know the I/O statistics of them.
Perf can collect physical addresses, but those are raw data.
It still needs extra work to resolve the physical addresses.
Provide a script to facilitate the physical addresses resolving and
I/O statistics.
Profile with MEM_INST_RETIRED.ALL_LOADS or MEM_UOPS_RETIRED.ALL_LOADS
event if any of them is available.
Look up the /proc/iomem and resolve the physical address.
Provide memory type summary.
Here is an example output.
#perf script report mem-phys-addr
Event: mem_inst_retired.all_loads:P
Memory type count percentage
---------------------------------------- ----------- -----------
System RAM 74 53.2%
Persistent Memory 55 39.6%
N/A
Signed-off-by: Kan Liang <kan.li...@intel.com>
---
Changes since V2:
- Apply the new license rules.
- Add comments for globals
Changes since V1:
- Do not mix DLA and Load Latency. Do not compare the loads and stores.
Only profile the loads.
- Use event name to replace the RAW event
tools/perf/scripts/python/bin/mem-phys-addr-record | 19 +++++
tools/perf/scripts/python/bin/mem-phys-addr-report | 3 +
tools/perf/scripts/python/mem-phys-addr.py | 95 ++++++++++++++++++++++
.../util/scripting-engines/trace-event-python.c | 2 +
4 files changed, 119 insertions(+)
create mode 100644 tools/perf/scripts/python/bin/mem-phys-addr-record
create mode 100644 tools/perf/scripts/python/bin/mem-phys-addr-report
create mode 100644 tools/perf/scripts/python/mem-phys-addr.py
diff --git a/tools/perf/scripts/python/bin/mem-phys-addr-record
b/tools/perf/scripts/python/bin/mem-phys-addr-record
new file mode 100644
index 0000000..5a87512
--- /dev/null
+++ b/tools/perf/scripts/python/bin/mem-phys-addr-record
@@ -0,0 +1,19 @@
+#!/bin/bash
+
+#
+# Profiling physical memory by all retired load instructions/uops event
+# MEM_INST_RETIRED.ALL_LOADS or MEM_UOPS_RETIRED.ALL_LOADS
+#
+
+load=`perf list | grep mem_inst_retired.all_loads`
+if [ -z "$load" ]; then
+ load=`perf list | grep mem_uops_retired.all_loads`
+fi
+if [ -z "$load" ]; then
+ echo "There is no event to count all retired load instructions/uops."
+ exit 1
+fi
+
+arg=$(echo $load | tr -d ' ')
+arg="$arg:P"
+perf record --phys-data -e $arg $@
diff --git a/tools/perf/scripts/python/bin/mem-phys-addr-report
b/tools/perf/scripts/python/bin/mem-phys-addr-report
new file mode 100644
index 0000000..3f2b847
--- /dev/null
+++ b/tools/perf/scripts/python/bin/mem-phys-addr-report
@@ -0,0 +1,3 @@
+#!/bin/bash
+# description: resolve physical address samples
+perf script $@ -s "$PERF_EXEC_PATH"/scripts/python/mem-phys-addr.py
diff --git a/tools/perf/scripts/python/mem-phys-addr.py
b/tools/perf/scripts/python/mem-phys-addr.py
new file mode 100644
index 0000000..ebee2c5
--- /dev/null
+++ b/tools/perf/scripts/python/mem-phys-addr.py
@@ -0,0 +1,95 @@
+# mem-phys-addr.py: Resolve physical address samples
+# SPDX-License-Identifier: GPL-2.0
+#
+# Copyright (c) 2018, Intel Corporation.
+
+from __future__ import division
+import os
+import sys
+import struct
+import re
+import bisect
+import collections
+
+sys.path.append(os.environ['PERF_EXEC_PATH'] + \
+ '/scripts/python/Perf-Trace-Util/lib/Perf/Trace')
+
+#physical address ranges for System RAM
+system_ram = []
+#physical address ranges for Persistent Memory
+pmem = []
+#file object for proc iomem
+f = None
+#Count for each type of memory
+load_mem_type_cnt = collections.Counter()
+#perf event name
+event_name = None
+
+def parse_iomem():
+ global f
+ f = open('/proc/iomem', 'r')
+ for i, j in enumerate(f):
+ m = re.split('-|:',j,2)
+ if m[2].strip() == 'System RAM':
+ system_ram.append(long(m[0], 16))
+ system_ram.append(long(m[1], 16))
+ if m[2].strip() == 'Persistent Memory':
+ pmem.append(long(m[0], 16))
+ pmem.append(long(m[1], 16))
+
+def print_memory_type():
+ print "Event: %s" % (event_name)
+ print "%-40s %10s %10s\n" % ("Memory type", "count", "percentage"),
+ print "%-40s %10s %10s\n" %
("----------------------------------------", \
+ "-----------", "-----------"),
+ total = sum(load_mem_type_cnt.values())
+ for mem_type, count in sorted(load_mem_type_cnt.most_common(), \
+ key = lambda(k, v): (v, k), reverse =
True):
+ print "%-40s %10d %10.1f%%\n" % (mem_type, count, 100 * count
/ total),
+
+def trace_begin():
+ parse_iomem()
+
+def trace_end():
+ print_memory_type()
+ f.close()
+
+def is_system_ram(phys_addr):
+ #/proc/iomem is sorted
+ position = bisect.bisect(system_ram, phys_addr)
+ if position % 2 == 0:
+ return False
+ return True
+
+def is_persistent_mem(phys_addr):
+ position = bisect.bisect(pmem, phys_addr)
+ if position % 2 == 0:
+ return False
+ return True
+
+def find_memory_type(phys_addr):
+ if phys_addr == 0:
+ return "N/A"
+ if is_system_ram(phys_addr):
+ return "System RAM"
+
+ if is_persistent_mem(phys_addr):
+ return "Persistent Memory"
+
+ #slow path, search all
+ f.seek(0, 0)
+ for j in f:
+ m = re.split('-|:',j,2)
+ if long(m[0], 16) <= phys_addr <= long(m[1], 16):
+ return m[2]
+ return "N/A"
+
+def process_event(param_dict):
+ name = param_dict["ev_name"]
+ sample = param_dict["sample"]
+ phys_addr = sample["phys_addr"]
+
+ global event_name
+ if event_name == None:
+ event_name = name
+ load_mem_type_cnt[find_memory_type(phys_addr)] += 1
diff --git a/tools/perf/util/scripting-engines/trace-event-python.c
b/tools/perf/util/scripting-engines/trace-event-python.c
index c1848b5..ea07088 100644
--- a/tools/perf/util/scripting-engines/trace-event-python.c
+++ b/tools/perf/util/scripting-engines/trace-event-python.c
@@ -499,6 +499,8 @@ static PyObject *get_perf_sample_dict(struct perf_sample
*sample,
PyLong_FromUnsignedLongLong(sample->time));
pydict_set_item_string_decref(dict_sample, "period",
PyLong_FromUnsignedLongLong(sample->period));
+ pydict_set_item_string_decref(dict_sample, "phys_addr",
+ PyLong_FromUnsignedLongLong(sample->phys_addr));
set_sample_read_in_dict(dict_sample, sample, evsel);
pydict_set_item_string_decref(dict, "sample", dict_sample);
--
2.7.4
