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Message-Id: <1508192794-338697-1-git-send-email-kan.liang@intel.com>
Date: Mon, 16 Oct 2017 15:26:34 -0700
From: kan.liang@...el.com
To: acme@...nel.org, peterz@...radead.org, mingo@...hat.com,
linux-kernel@...r.kernel.org
Cc: jolsa@...nel.org, eranian@...gle.com, ak@...ux.intel.com,
dan.j.williams@...el.com, Kan Liang <Kan.liang@...el.com>
Subject: [PATCH] perf script: add script to profile and resolve physical mem type
From: Kan Liang <Kan.liang@...el.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 on different
type of memorys. Perf can collect address maps with physical addresses,
but those are raw data. It still needs extra work to resolve the
physical addresses.
Providing a script to facilitate the physical addresses resolving and
I/O statistics.
Profiling with mem-loads and mem-stores if they are available.
Looking up the physical address samples in /proc/iomem
Providing memory type summary
Here is an example
#perf script record mem-phys-addr -- pmem_test_kernel
[ perf record: Woken up 32 times to write data ]
[ perf record: Captured and wrote 7.797 MB perf.data (101995 samples) ]
#perf script report mem-phys-addr
Memory type summary
Event: mem-loads
Memory type count percentage
---------------------------------------- ----------- -----------
Persistent Memory 43740 60.6%
System RAM 27179 37.7%
N/A 1268 1.8%
Event: mem-stores
Memory type count percentage
---------------------------------------- ----------- -----------
System RAM 24508 82.2%
N/A 5140 17.2%
Persistent Memory 160 0.5%
Signed-off-by: Kan Liang <Kan.liang@...el.com>
---
tools/perf/scripts/python/bin/mem-phys-addr-record | 30 ++++++
tools/perf/scripts/python/bin/mem-phys-addr-report | 3 +
tools/perf/scripts/python/mem-phys-addr.py | 109 +++++++++++++++++++++
.../util/scripting-engines/trace-event-python.c | 2 +
4 files changed, 144 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..395b256
--- /dev/null
+++ b/tools/perf/scripts/python/bin/mem-phys-addr-record
@@ -0,0 +1,30 @@
+#!/bin/bash
+
+#
+# Profiling physical memory accesses
+#
+
+load=`perf list pmu | grep mem-loads`
+store=`perf list pmu | grep mem-stores`
+if [ -z "$load" ] && [ -z "$store" ] ; then
+ echo "There is no mem-loads or mem-stores support"
+ exit 1
+fi
+
+arg="-e"
+if [ ! -z "$store" ] ; then
+ arg="$arg mem-stores:P"
+fi
+
+if [ ! -z "$load" ] ; then
+ if [ ! -z "$store" ] ; then
+ arg="$arg,mem-loads:P"
+ else
+ arg="$arg mem-loads:P"
+ fi
+ arg="$arg -W"
+fi
+
+arg="$arg -d --phys-data"
+
+perf record $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..73b3a63
--- /dev/null
+++ b/tools/perf/scripts/python/mem-phys-addr.py
@@ -0,0 +1,109 @@
+# mem-phys-addr.py: Resolve physical address samples
+# Copyright (c) 2017, Intel Corporation.
+#
+# This program is free software; you can redistribute it and/or modify it
+# under the terms and conditions of the GNU General Public License,
+# version 2, as published by the Free Software Foundation.
+#
+# This program is distributed in the hope it will be useful, but WITHOUT
+# ANY WARRANTY; without even the implied warranty of MERCHANTABILITY or
+# FITNESS FOR A PARTICULAR PURPOSE. See the GNU General Public License for
+# more details.
+
+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')
+
+system_ram = []
+pmem = []
+f = None
+load_event = ('mem-loads', '0x1cd')
+store_event = ('mem-stores', '0x82d0');
+load_mem_type_cnt = collections.Counter()
+store_mem_type_cnt = collections.Counter()
+
+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 "Memory type summary\n"
+ print "Event: mem-loads"
+ 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),
+ print "\n\n"
+ print "Event: mem-stores"
+ print "%-40s %10s %10s\n" % ("Memory type", "count", "percentage"),
+ print "%-40s %10s %10s\n" % ("----------------------------------------", \
+ "-----------", "-----------"),
+ total = sum(store_mem_type_cnt.values())
+ for mem_type, count in sorted(store_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"]
+
+ if any(x in name for x in load_event):
+ load_mem_type_cnt[find_memory_type(phys_addr)] += 1
+ if any(x in name for x in store_event):
+ store_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 c7187f0..8cd6317 100644
--- a/tools/perf/util/scripting-engines/trace-event-python.c
+++ b/tools/perf/util/scripting-engines/trace-event-python.c
@@ -500,6 +500,8 @@ 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
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