perf script python: Add script to profile and resolve physical mem type

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

  ---

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

Signed-off-by: Kan Liang <Kan.liang@intel.com>
Reviewed-by: Andi Kleen <ak@linux.intel.com>
Cc: Dan Williams <dan.j.williams@intel.com>
Cc: Jiri Olsa <jolsa@kernel.org>
Cc: Peter Zijlstra <peterz@infradead.org>
Cc: Philippe Ombredanne <pombredanne@nexb.com>
Cc: Stephane Eranian <eranian@google.com>
Link: https://lkml.kernel.org/r/1515099595-34770-1-git-send-email-kan.liang@intel.com
Signed-off-by: Arnaldo Carvalho de Melo <acme@redhat.com>

3 files changed, 117 insertions, 0 deletions

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 000000000000..5a875122a904
--- /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 000000000000..3f2b847e2eab
--- /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 000000000000..ebee2c5ae496
--- /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