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/* -*- Mode: C++; tab-width: 8; indent-tabs-mode: nil; c-basic-offset: 4 -*-
* This Source Code Form is subject to the terms of the Mozilla Public
* License, v. 2.0. If a copy of the MPL was not distributed with this
* file, You can obtain one at http://mozilla.org/MPL/2.0/. */
#include "vm/Stopwatch.h"
#include "mozilla/ArrayUtils.h"
#include "mozilla/IntegerTypeTraits.h"
#include "mozilla/Unused.h"
#if defined(XP_WIN)
#include <processthreadsapi.h>
#include <windows.h>
#endif // defined(XP_WIN)
#include "jscompartment.h"
#include "gc/Zone.h"
#include "vm/Runtime.h"
namespace js {
bool
PerformanceMonitoring::addRecentGroup(PerformanceGroup* group)
{
if (group->isUsedInThisIteration())
return true;
group->setIsUsedInThisIteration(true);
return recentGroups_.append(group);
}
void
PerformanceMonitoring::reset()
{
// All ongoing measures are dependent on the current iteration#.
// By incrementing it, we mark all data as stale. Stale data will
// be overwritten progressively during the execution.
++iteration_;
recentGroups_.clear();
// Every so often, we will be rescheduled to another CPU. If this
// happens, we may end up with an entirely unsynchronized
// timestamp counter. If we do not reset
// `highestTimestampCounter_`, we could end up ignoring entirely
// valid sets of measures just because we are on a CPU that has a
// lower RDTSC.
highestTimestampCounter_ = 0;
}
void
PerformanceMonitoring::start()
{
if (!isMonitoringJank_)
return;
if (iteration_ == startedAtIteration_) {
// The stopwatch is already started for this iteration.
return;
}
startedAtIteration_ = iteration_;
if (stopwatchStartCallback)
stopwatchStartCallback(iteration_, stopwatchStartClosure);
}
// Commit the data that has been collected during the iteration
// into the actual `PerformanceData`.
//
// We use the proportion of cycles-spent-in-group over
// cycles-spent-in-toplevel-group as an approximation to allocate
// system (kernel) time and user (CPU) time to each group. Note
// that cycles are not an exact measure:
//
// 1. if the computer has gone to sleep, the clock may be reset to 0;
// 2. if the process is moved between CPUs/cores, it may end up on a CPU
// or core with an unsynchronized clock;
// 3. the mapping between clock cycles and walltime varies with the current
// frequency of the CPU;
// 4. other threads/processes using the same CPU will also increment
// the counter.
//
// ** Effect of 1. (computer going to sleep)
//
// We assume that this will happen very seldom. Since the final numbers
// are bounded by the CPU time and Kernel time reported by `getresources`,
// the effect will be contained to a single iteration of the event loop.
//
// ** Effect of 2. (moving between CPUs/cores)
//
// On platforms that support it, we only measure the number of cycles
// if we start and end execution of a group on the same
// CPU/core. While there is a small window (a few cycles) during which
// the thread can be migrated without us noticing, we expect that this
// will happen rarely enough that this won't affect the statistics
// meaningfully.
//
// On other platforms, assuming that the probability of jumping
// between CPUs/cores during a given (real) cycle is constant, and
// that the distribution of differences between clocks is even, the
// probability that the number of cycles reported by a measure is
// modified by X cycles should be a gaussian distribution, with groups
// with longer execution having a larger amplitude than groups with
// shorter execution. Since we discard measures that result in a
// negative number of cycles, this distribution is actually skewed
// towards over-estimating the number of cycles of groups that already
// have many cycles and under-estimating the number of cycles that
// already have fewer cycles.
//
// Since the final numbers are bounded by the CPU time and Kernel time
// reported by `getresources`, we accept this bias.
//
// ** Effect of 3. (mapping between clock cycles and walltime)
//
// Assuming that this is evenly distributed, we expect that this will
// eventually balance out.
//
// ** Effect of 4. (cycles increase with system activity)
//
// Assuming that, within an iteration of the event loop, this happens
// unformly over time, this will skew towards over-estimating the number
// of cycles of groups that already have many cycles and under-estimating
// the number of cycles that already have fewer cycles.
//
// Since the final numbers are bounded by the CPU time and Kernel time
// reported by `getresources`, we accept this bias.
//
// ** Big picture
//
// Computing the number of cycles is fast and should be accurate
// enough in practice. Alternatives (such as calling `getresources`
// all the time or sampling from another thread) are very expensive
// in system calls and/or battery and not necessarily more accurate.
bool
PerformanceMonitoring::commit()
{
// Maximal initialization size, in elements for the vector of groups.
static const size_t MAX_GROUPS_INIT_CAPACITY = 1024;
#if !defined(MOZ_HAVE_RDTSC)
// The AutoStopwatch is only executed if `MOZ_HAVE_RDTSC`.
return false;
#endif // !defined(MOZ_HAVE_RDTSC)
if (!isMonitoringJank_) {
// Either we have not started monitoring or monitoring has
// been cancelled during the iteration.
return true;
}
if (startedAtIteration_ != iteration_) {
// No JS code has been monitored during this iteration.
return true;
}
// The move operation is generally constant time, unless
// `recentGroups_.length()` is very small, in which case
// it's fast just because it's small.
PerformanceGroupVector recentGroups(Move(recentGroups_));
recentGroups_ = PerformanceGroupVector(); // Reconstruct after `Move`.
bool success = true;
if (stopwatchCommitCallback)
success = stopwatchCommitCallback(iteration_, recentGroups, stopwatchCommitClosure);
// Heuristic: we expect to have roughly the same number of groups as in
// the previous iteration.
const size_t capacity = recentGroups.capacity() < MAX_GROUPS_INIT_CAPACITY ?
recentGroups.capacity() :
MAX_GROUPS_INIT_CAPACITY;
success = recentGroups_.reserve(capacity)
&& success;
// Reset immediately, to make sure that we're not hit by the end
// of a nested event loop (which would cause `commit` to be called
// twice in succession).
reset();
return success;
}
uint64_t
PerformanceMonitoring::monotonicReadTimestampCounter()
{
#if defined(MOZ_HAVE_RDTSC)
const uint64_t hardware = ReadTimestampCounter();
if (highestTimestampCounter_ < hardware)
highestTimestampCounter_ = hardware;
return highestTimestampCounter_;
#else
return 0;
#endif // defined(MOZ_HAVE_RDTSC)
}
void
PerformanceMonitoring::dispose(JSRuntime* rt)
{
reset();
for (CompartmentsIter c(rt, SkipAtoms); !c.done(); c.next()) {
c->performanceMonitoring.unlink();
}
}
PerformanceGroupHolder::~PerformanceGroupHolder()
{
unlink();
}
void
PerformanceGroupHolder::unlink()
{
initialized_ = false;
groups_.clear();
}
const PerformanceGroupVector*
PerformanceGroupHolder::getGroups(JSContext* cx)
{
if (initialized_)
return &groups_;
if (!runtime_->performanceMonitoring.getGroupsCallback)
return nullptr;
if (!runtime_->performanceMonitoring.getGroupsCallback(cx, groups_, runtime_->performanceMonitoring.getGroupsClosure))
return nullptr;
initialized_ = true;
return &groups_;
}
AutoStopwatch::AutoStopwatch(JSContext* cx MOZ_GUARD_OBJECT_NOTIFIER_PARAM_IN_IMPL)
: cx_(cx)
, iteration_(0)
, isMonitoringJank_(false)
, isMonitoringCPOW_(false)
, cyclesStart_(0)
, CPOWTimeStart_(0)
{
MOZ_GUARD_OBJECT_NOTIFIER_INIT;
JSCompartment* compartment = cx_->compartment();
if (MOZ_UNLIKELY(compartment->scheduledForDestruction))
return;
JSRuntime* runtime = cx_->runtime();
iteration_ = runtime->performanceMonitoring.iteration();
const PerformanceGroupVector* groups = compartment->performanceMonitoring.getGroups(cx);
if (!groups) {
// Either the embedding has not provided any performance
// monitoring logistics or there was an error that prevents
// performance monitoring.
return;
}
for (auto group = groups->begin(); group < groups->end(); group++) {
auto acquired = acquireGroup(*group);
if (acquired) {
if (!groups_.append(acquired))
MOZ_CRASH();
}
}
if (groups_.length() == 0) {
// We are not in charge of monitoring anything.
return;
}
// Now that we are sure that JS code is being executed,
// initialize the stopwatch for this iteration, lazily.
runtime->performanceMonitoring.start();
enter();
}
AutoStopwatch::~AutoStopwatch()
{
if (groups_.length() == 0) {
// We are not in charge of monitoring anything.
return;
}
JSCompartment* compartment = cx_->compartment();
if (MOZ_UNLIKELY(compartment->scheduledForDestruction))
return;
JSRuntime* runtime = cx_->runtime();
if (MOZ_UNLIKELY(iteration_ != runtime->performanceMonitoring.iteration())) {
// We have entered a nested event loop at some point.
// Any information we may have is obsolete.
return;
}
mozilla::Unused << exit(); // Sadly, there is nothing we can do about an error at this point.
for (auto group = groups_.begin(); group < groups_.end(); group++)
releaseGroup(*group);
}
void
AutoStopwatch::enter()
{
JSRuntime* runtime = cx_->runtime();
if (runtime->performanceMonitoring.isMonitoringCPOW()) {
CPOWTimeStart_ = runtime->performanceMonitoring.totalCPOWTime;
isMonitoringCPOW_ = true;
}
if (runtime->performanceMonitoring.isMonitoringJank()) {
cyclesStart_ = this->getCycles(runtime);
cpuStart_ = this->getCPU();
isMonitoringJank_ = true;
}
}
bool
AutoStopwatch::exit()
{
JSRuntime* runtime = cx_->runtime();
uint64_t cyclesDelta = 0;
if (isMonitoringJank_ && runtime->performanceMonitoring.isMonitoringJank()) {
// We were monitoring jank when we entered and we still are.
// If possible, discard results when we don't end on the
// same CPU as we started. Note that we can be
// rescheduled to another CPU beween `getCycles()` and
// `getCPU()`. We hope that this will happen rarely
// enough that the impact on our statistics will remain
// limited.
const cpuid_t cpuEnd = this->getCPU();
if (isSameCPU(cpuStart_, cpuEnd)) {
const uint64_t cyclesEnd = getCycles(runtime);
cyclesDelta = cyclesEnd - cyclesStart_; // Always >= 0 by definition of `getCycles`.
}
}
uint64_t CPOWTimeDelta = 0;
if (isMonitoringCPOW_ && runtime->performanceMonitoring.isMonitoringCPOW()) {
// We were monitoring CPOW when we entered and we still are.
const uint64_t CPOWTimeEnd = runtime->performanceMonitoring.totalCPOWTime;
CPOWTimeDelta = getDelta(CPOWTimeEnd, CPOWTimeStart_);
}
return addToGroups(cyclesDelta, CPOWTimeDelta);
}
PerformanceGroup*
AutoStopwatch::acquireGroup(PerformanceGroup* group)
{
MOZ_ASSERT(group);
if (group->isAcquired(iteration_))
return nullptr;
if (!group->isActive())
return nullptr;
group->acquire(iteration_, this);
return group;
}
void
AutoStopwatch::releaseGroup(PerformanceGroup* group)
{
MOZ_ASSERT(group);
group->release(iteration_, this);
}
bool
AutoStopwatch::addToGroups(uint64_t cyclesDelta, uint64_t CPOWTimeDelta)
{
JSRuntime* runtime = cx_->runtime();
for (auto group = groups_.begin(); group < groups_.end(); ++group) {
if (!addToGroup(runtime, cyclesDelta, CPOWTimeDelta, *group))
return false;
}
return true;
}
bool
AutoStopwatch::addToGroup(JSRuntime* runtime, uint64_t cyclesDelta, uint64_t CPOWTimeDelta, PerformanceGroup* group)
{
MOZ_ASSERT(group);
MOZ_ASSERT(group->isAcquired(iteration_, this));
if (!runtime->performanceMonitoring.addRecentGroup(group))
return false;
group->addRecentTicks(iteration_, 1);
group->addRecentCycles(iteration_, cyclesDelta);
group->addRecentCPOW(iteration_, CPOWTimeDelta);
return true;
}
uint64_t
AutoStopwatch::getDelta(const uint64_t end, const uint64_t start) const
{
if (start >= end)
return 0;
return end - start;
}
uint64_t
AutoStopwatch::getCycles(JSRuntime* runtime) const
{
return runtime->performanceMonitoring.monotonicReadTimestampCounter();
}
cpuid_t inline
AutoStopwatch::getCPU() const
{
#if defined(XP_WIN) && WINVER >= _WIN32_WINNT_VISTA
PROCESSOR_NUMBER proc;
GetCurrentProcessorNumberEx(&proc);
cpuid_t result(proc.Group, proc.Number);
return result;
#else
return {};
#endif // defined(XP_WIN)
}
bool inline
AutoStopwatch::isSameCPU(const cpuid_t& a, const cpuid_t& b) const
{
#if defined(XP_WIN) && WINVER >= _WIN32_WINNT_VISTA
return a.group_ == b.group_ && a.number_ == b.number_;
#else
return true;
#endif
}
PerformanceGroup::PerformanceGroup()
: recentCycles_(0)
, recentTicks_(0)
, recentCPOW_(0)
, iteration_(0)
, isActive_(false)
, isUsedInThisIteration_(false)
, owner_(nullptr)
, refCount_(0)
{ }
uint64_t
PerformanceGroup::iteration() const
{
return iteration_;
}
bool
PerformanceGroup::isAcquired(uint64_t it) const
{
return owner_ != nullptr && iteration_ == it;
}
bool
PerformanceGroup::isAcquired(uint64_t it, const AutoStopwatch* owner) const
{
return owner_ == owner && iteration_ == it;
}
void
PerformanceGroup::acquire(uint64_t it, const AutoStopwatch* owner)
{
if (iteration_ != it) {
// Any data that pretends to be recent is actually bound
// to an older iteration and therefore stale.
resetRecentData();
}
iteration_ = it;
owner_ = owner;
}
void
PerformanceGroup::release(uint64_t it, const AutoStopwatch* owner)
{
if (iteration_ != it)
return;
MOZ_ASSERT(owner == owner_ || owner_ == nullptr);
owner_ = nullptr;
}
void
PerformanceGroup::resetRecentData()
{
recentCycles_ = 0;
recentTicks_ = 0;
recentCPOW_ = 0;
isUsedInThisIteration_ = false;
}
uint64_t
PerformanceGroup::recentCycles(uint64_t iteration) const
{
MOZ_ASSERT(iteration == iteration_);
return recentCycles_;
}
void
PerformanceGroup::addRecentCycles(uint64_t iteration, uint64_t cycles)
{
MOZ_ASSERT(iteration == iteration_);
recentCycles_ += cycles;
}
uint64_t
PerformanceGroup::recentTicks(uint64_t iteration) const
{
MOZ_ASSERT(iteration == iteration_);
return recentTicks_;
}
void
PerformanceGroup::addRecentTicks(uint64_t iteration, uint64_t ticks)
{
MOZ_ASSERT(iteration == iteration_);
recentTicks_ += ticks;
}
uint64_t
PerformanceGroup::recentCPOW(uint64_t iteration) const
{
MOZ_ASSERT(iteration == iteration_);
return recentCPOW_;
}
void
PerformanceGroup::addRecentCPOW(uint64_t iteration, uint64_t CPOW)
{
MOZ_ASSERT(iteration == iteration_);
recentCPOW_ += CPOW;
}
bool
PerformanceGroup::isActive() const
{
return isActive_;
}
void
PerformanceGroup::setIsActive(bool value)
{
isActive_ = value;
}
void
PerformanceGroup::setIsUsedInThisIteration(bool value)
{
isUsedInThisIteration_ = value;
}
bool
PerformanceGroup::isUsedInThisIteration() const
{
return isUsedInThisIteration_;
}
void
PerformanceGroup::AddRef()
{
++refCount_;
}
void
PerformanceGroup::Release()
{
MOZ_ASSERT(refCount_ > 0);
--refCount_;
if (refCount_ > 0)
return;
this->Delete();
}
JS_PUBLIC_API(bool)
SetStopwatchStartCallback(JSContext* cx, StopwatchStartCallback cb, void* closure)
{
cx->performanceMonitoring.setStopwatchStartCallback(cb, closure);
return true;
}
JS_PUBLIC_API(bool)
SetStopwatchCommitCallback(JSContext* cx, StopwatchCommitCallback cb, void* closure)
{
cx->performanceMonitoring.setStopwatchCommitCallback(cb, closure);
return true;
}
JS_PUBLIC_API(bool)
SetGetPerformanceGroupsCallback(JSContext* cx, GetGroupsCallback cb, void* closure)
{
cx->performanceMonitoring.setGetGroupsCallback(cb, closure);
return true;
}
JS_PUBLIC_API(bool)
FlushPerformanceMonitoring(JSContext* cx)
{
return cx->performanceMonitoring.commit();
}
JS_PUBLIC_API(void)
ResetPerformanceMonitoring(JSContext* cx)
{
return cx->performanceMonitoring.reset();
}
JS_PUBLIC_API(void)
DisposePerformanceMonitoring(JSContext* cx)
{
return cx->performanceMonitoring.dispose(cx);
}
JS_PUBLIC_API(bool)
SetStopwatchIsMonitoringJank(JSContext* cx, bool value)
{
return cx->performanceMonitoring.setIsMonitoringJank(value);
}
JS_PUBLIC_API(bool)
GetStopwatchIsMonitoringJank(JSContext* cx)
{
return cx->performanceMonitoring.isMonitoringJank();
}
JS_PUBLIC_API(bool)
SetStopwatchIsMonitoringCPOW(JSContext* cx, bool value)
{
return cx->performanceMonitoring.setIsMonitoringCPOW(value);
}
JS_PUBLIC_API(bool)
GetStopwatchIsMonitoringCPOW(JSContext* cx)
{
return cx->performanceMonitoring.isMonitoringCPOW();
}
JS_PUBLIC_API(void)
AddCPOWPerformanceDelta(JSContext* cx, uint64_t delta)
{
cx->performanceMonitoring.totalCPOWTime += delta;
}
} // namespace js
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