linux/tools/perf/pmu-events
Nickhu ebd09753b5 nds32: Perf porting
This is the commit that porting the perf for nds32.

1.Raw event:
	The raw events start with 'r'.
		Usage:
			perf stat -e rXYZ ./app
			X: the index of performance counter.
			YZ: the index(convert to hexdecimal) of events

		Example:
			'perf stat -e r101 ./app' means the counter 1 will count the instruction
		event.

		The index of counter and events can be found in
		"Andes System Privilege Architecture Version 3 Manual".

Or you can perform the 'perf list' to find the symbolic name of raw events.

2.Perf mmap2:

	Fix unexpected perf mmap2() page fault

	When the mmap2() called by perf application,
	you will encounter such condition:"failed to write."
	With return value -EFAULT

	This is due to the page fault caused by "reading" buffer
	from the mapped legal address region to write to the descriptor.
	The page_fault handler will get a VM_FAULT_SIGBUS return value,
	which should not happens here.(Due to this is a read request.)

	You can refer to kernel/events/core.c:perf_mmap_fault(...)
	If "(vmf->pgoff && (vmf->flags & FAULT_FLAG_WRITE))" is evaluated
	as true, you will get VM_FAULT_SIGBUS as return value.

	However, this is not an write request. The flags which indicated
	why the page fault happens is wrong.

	Furthermore, NDS32 SPAv3 is not able to detect it is read or write.
	It only know  either it is instruction fetch or data access.

	Therefore, by removing the wrong flag assignment(actually, the hardware
	is not able to show the reason), we can fix this bug.

3.Perf multiple events map to same counter.

	When there are multiple events map to the same counter, the counter
	counts inaccurately. This is because each counter only counts one event
	in the same time.
	So when there are multiple events map to same counter, they have to take
	turns in each context.

	There are two solution:
	1. Print the error message when multiple events map to the same counter.
	But print the error message would let the program hang in loop. The ltp
	(linux test program) would be failed when the program hang in loop.

	2. Don't print the error message, the ltp would pass. But the user need to
	have the knowledge that don't count the events which map to the same
	counter, or the user will get the inaccurate results.

	We choose method 2 for the solution

Signed-off-by: Nickhu <nickhu@andestech.com>
Acked-by: Greentime Hu <greentime@andestech.com>
Signed-off-by: Greentime Hu <greentime@andestech.com>
2018-11-06 18:01:40 +08:00
..
arch nds32: Perf porting 2018-11-06 18:01:40 +08:00
Build tools: build: Fixup host c flags 2018-07-13 00:48:17 +09:00
jevents.c perf list: Add s390 support for detailed PMU event description 2018-07-24 14:49:09 -03:00
jevents.h Merge branch 'linus' into perf/core, to fix conflicts 2017-11-07 10:30:18 +01:00
jsmn.c
jsmn.h License cleanup: add SPDX GPL-2.0 license identifier to files with no license 2017-11-02 11:10:55 +01:00
json.c perf utils: Check verbose flag properly 2017-02-20 11:35:54 -03:00
json.h License cleanup: add SPDX GPL-2.0 license identifier to files with no license 2017-11-02 11:10:55 +01:00
pmu-events.h Merge branch 'linus' into perf/core, to fix conflicts 2017-11-07 10:30:18 +01:00
README perf vendor events: Add support for arch standard events 2018-03-16 13:54:35 -03:00

The contents of this directory allow users to specify PMU events in their
CPUs by their symbolic names rather than raw event codes (see example below).

The main program in this directory, is the 'jevents', which is built and
executed _BEFORE_ the perf binary itself is built.

The 'jevents' program tries to locate and process JSON files in the directory
tree tools/perf/pmu-events/arch/foo.

	- Regular files with '.json' extension in the name are assumed to be
	  JSON files, each of which describes a set of PMU events.

	- The CSV file that maps a specific CPU to its set of PMU events is to
	  be named 'mapfile.csv' (see below for mapfile format).

	- Directories are traversed, but all other files are ignored.

	- To reduce JSON event duplication per architecture, platform JSONs may
	  use "ArchStdEvent" keyword to dereference an "Architecture standard
	  events", defined in architecture standard JSONs.
	  Architecture standard JSONs must be located in the architecture root
	  folder. Matching is based on the "EventName" field.

The PMU events supported by a CPU model are expected to grouped into topics
such as Pipelining, Cache, Memory, Floating-point etc. All events for a topic
should be placed in a separate JSON file - where the file name identifies
the topic. Eg: "Floating-point.json".

All the topic JSON files for a CPU model/family should be in a separate
sub directory. Thus for the Silvermont X86 CPU:

	$ ls tools/perf/pmu-events/arch/x86/Silvermont_core
	Cache.json 	Memory.json 	Virtual-Memory.json
	Frontend.json 	Pipeline.json

The JSONs folder for a CPU model/family may be placed in the root arch
folder, or may be placed in a vendor sub-folder under the arch folder
for instances where the arch and vendor are not the same.

Using the JSON files and the mapfile, 'jevents' generates the C source file,
'pmu-events.c', which encodes the two sets of tables:

	- Set of 'PMU events tables' for all known CPUs in the architecture,
	  (one table like the following, per JSON file; table name 'pme_power8'
	  is derived from JSON file name, 'power8.json').

		struct pmu_event pme_power8[] = {

			...

			{
				.name = "pm_1plus_ppc_cmpl",
				.event = "event=0x100f2",
				.desc = "1 or more ppc insts finished,",
			},

			...
		}

	- A 'mapping table' that maps each CPU of the architecture, to its
	  'PMU events table'

		struct pmu_events_map pmu_events_map[] = {
		{
			.cpuid = "004b0000",
			.version = "1",
			.type = "core",
			.table = pme_power8
		},
			...

		};

After the 'pmu-events.c' is generated, it is compiled and the resulting
'pmu-events.o' is added to 'libperf.a' which is then used to build perf.

NOTES:
	1. Several CPUs can support same set of events and hence use a common
	   JSON file. Hence several entries in the pmu_events_map[] could map
	   to a single 'PMU events table'.

	2. The 'pmu-events.h' has an extern declaration for the mapping table
	   and the generated 'pmu-events.c' defines this table.

	3. _All_ known CPU tables for architecture are included in the perf
	   binary.

At run time, perf determines the actual CPU it is running on, finds the
matching events table and builds aliases for those events. This allows
users to specify events by their name:

	$ perf stat -e pm_1plus_ppc_cmpl sleep 1

where 'pm_1plus_ppc_cmpl' is a Power8 PMU event.

However some errors in processing may cause the perf build to fail.

Mapfile format
===============

The mapfile enables multiple CPU models to share a single set of PMU events.
It is required even if such mapping is 1:1.

The mapfile.csv format is expected to be:

	Header line
	CPUID,Version,Dir/path/name,Type

where:

	Comma:
		is the required field delimiter (i.e other fields cannot
		have commas within them).

	Comments:
		Lines in which the first character is either '\n' or '#'
		are ignored.

	Header line
		The header line is the first line in the file, which is
		always _IGNORED_. It can empty.

	CPUID:
		CPUID is an arch-specific char string, that can be used
		to identify CPU (and associate it with a set of PMU events
		it supports). Multiple CPUIDS can point to the same
		File/path/name.json.

		Example:
			CPUID == 'GenuineIntel-6-2E' (on x86).
			CPUID == '004b0100' (PVR value in Powerpc)
	Version:
		is the Version of the mapfile.

	Dir/path/name:
		is the pathname to the directory containing the CPU's JSON
		files, relative to the directory containing the mapfile.csv

	Type:
		indicates whether the events or "core" or "uncore" events.


	Eg:

	$ grep Silvermont tools/perf/pmu-events/arch/x86/mapfile.csv
	GenuineIntel-6-37,V13,Silvermont_core,core
	GenuineIntel-6-4D,V13,Silvermont_core,core
	GenuineIntel-6-4C,V13,Silvermont_core,core

	i.e the three CPU models use the JSON files (i.e PMU events) listed
	in the directory 'tools/perf/pmu-events/arch/x86/Silvermont_core'.