From: kan.liang@intel.com
To: acme@kernel.org, linux-kernel@vger.kernel.org
Cc: peterz@infradead.org, mingo@redhat.com, eranian@google.com,
ak@linux.intel.com, jolsa@kernel.org, dan.j.williams@intel.com,
pombredanne@nexb.com, Kan Liang <Kan.liang@intel.com>
Subject: [PATCH V3] perf script: add script to profile and resolve physical mem type
Date: Thu, 4 Jan 2018 12:59:55 -0800 [thread overview]
Message-ID: <1515099595-34770-1-git-send-email-kan.liang@intel.com> (raw)
From: Kan Liang <Kan.liang@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.liang@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
next reply other threads:[~2018-01-04 21:00 UTC|newest]
Thread overview: 3+ messages / expand[flat|nested] mbox.gz Atom feed top
2018-01-04 20:59 kan.liang [this message]
2018-01-05 18:38 ` [PATCH V3] perf script: add script to profile and resolve physical mem type Andi Kleen
2018-01-17 16:26 ` [tip:perf/core] perf script python: Add " tip-bot for Kan Liang
Reply instructions:
You may reply publicly to this message via plain-text email
using any one of the following methods:
* Save the following mbox file, import it into your mail client,
and reply-to-all from there: mbox
Avoid top-posting and favor interleaved quoting:
https://en.wikipedia.org/wiki/Posting_style#Interleaved_style
* Reply using the --to, --cc, and --in-reply-to
switches of git-send-email(1):
git send-email \
--in-reply-to=1515099595-34770-1-git-send-email-kan.liang@intel.com \
--to=kan.liang@intel.com \
--cc=acme@kernel.org \
--cc=ak@linux.intel.com \
--cc=dan.j.williams@intel.com \
--cc=eranian@google.com \
--cc=jolsa@kernel.org \
--cc=linux-kernel@vger.kernel.org \
--cc=mingo@redhat.com \
--cc=peterz@infradead.org \
--cc=pombredanne@nexb.com \
/path/to/YOUR_REPLY
https://kernel.org/pub/software/scm/git/docs/git-send-email.html
* If your mail client supports setting the In-Reply-To header
via mailto: links, try the mailto: link
Be sure your reply has a Subject: header at the top and a blank line
before the message body.
This is an external index of several public inboxes,
see mirroring instructions on how to clone and mirror
all data and code used by this external index.