mirror of
https://github.com/darlinghq/darling-JavaScriptCore.git
synced 2025-04-16 22:09:58 +00:00
192 lines
6.9 KiB
C++
192 lines
6.9 KiB
C++
/*
|
|
* Copyright (C) 2012, 2014, 2016 Apple Inc. All rights reserved.
|
|
*
|
|
* Redistribution and use in source and binary forms, with or without
|
|
* modification, are permitted provided that the following conditions
|
|
* are met:
|
|
* 1. Redistributions of source code must retain the above copyright
|
|
* notice, this list of conditions and the following disclaimer.
|
|
* 2. Redistributions in binary form must reproduce the above copyright
|
|
* notice, this list of conditions and the following disclaimer in the
|
|
* documentation and/or other materials provided with the distribution.
|
|
*
|
|
* THIS SOFTWARE IS PROVIDED BY APPLE INC. ``AS IS'' AND ANY
|
|
* EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE
|
|
* IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR
|
|
* PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL APPLE INC. OR
|
|
* CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL,
|
|
* EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO,
|
|
* PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR
|
|
* PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY
|
|
* OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT
|
|
* (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE
|
|
* OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.
|
|
*/
|
|
|
|
#include "config.h"
|
|
#include "ExecutionCounter.h"
|
|
|
|
#include "CodeBlock.h"
|
|
#include "ExecutableAllocator.h"
|
|
#include "JSCInlines.h"
|
|
#include "VMInlines.h"
|
|
|
|
namespace JSC {
|
|
|
|
template<CountingVariant countingVariant>
|
|
ExecutionCounter<countingVariant>::ExecutionCounter()
|
|
{
|
|
reset();
|
|
}
|
|
|
|
template<CountingVariant countingVariant>
|
|
void ExecutionCounter<countingVariant>::forceSlowPathConcurrently()
|
|
{
|
|
m_counter = 0;
|
|
}
|
|
|
|
template<CountingVariant countingVariant>
|
|
bool ExecutionCounter<countingVariant>::checkIfThresholdCrossedAndSet(CodeBlock* codeBlock)
|
|
{
|
|
if (hasCrossedThreshold(codeBlock))
|
|
return true;
|
|
|
|
if (setThreshold(codeBlock))
|
|
return true;
|
|
|
|
return false;
|
|
}
|
|
|
|
template<CountingVariant countingVariant>
|
|
void ExecutionCounter<countingVariant>::setNewThreshold(int32_t threshold, CodeBlock* codeBlock)
|
|
{
|
|
reset();
|
|
m_activeThreshold = threshold;
|
|
setThreshold(codeBlock);
|
|
}
|
|
|
|
template<CountingVariant countingVariant>
|
|
void ExecutionCounter<countingVariant>::deferIndefinitely()
|
|
{
|
|
m_totalCount = 0;
|
|
m_activeThreshold = std::numeric_limits<int32_t>::max();
|
|
m_counter = std::numeric_limits<int32_t>::min();
|
|
}
|
|
|
|
double applyMemoryUsageHeuristics(int32_t value, CodeBlock* codeBlock)
|
|
{
|
|
#if ENABLE(JIT)
|
|
double multiplier =
|
|
ExecutableAllocator::memoryPressureMultiplier(
|
|
codeBlock->baselineAlternative()->predictedMachineCodeSize());
|
|
#else
|
|
// This code path will probably not be taken, but if it is, we fake it.
|
|
double multiplier = 1.0;
|
|
UNUSED_PARAM(codeBlock);
|
|
#endif
|
|
ASSERT(multiplier >= 1.0);
|
|
return multiplier * value;
|
|
}
|
|
|
|
int32_t applyMemoryUsageHeuristicsAndConvertToInt(int32_t value, CodeBlock* codeBlock)
|
|
{
|
|
double doubleResult = applyMemoryUsageHeuristics(value, codeBlock);
|
|
|
|
ASSERT(doubleResult >= 0);
|
|
|
|
if (doubleResult > std::numeric_limits<int32_t>::max())
|
|
return std::numeric_limits<int32_t>::max();
|
|
|
|
return static_cast<int32_t>(doubleResult);
|
|
}
|
|
|
|
template<CountingVariant countingVariant>
|
|
bool ExecutionCounter<countingVariant>::hasCrossedThreshold(CodeBlock* codeBlock) const
|
|
{
|
|
// This checks if the current count rounded up to the threshold we were targeting.
|
|
// For example, if we are using half of available executable memory and have
|
|
// m_activeThreshold = 1000, applyMemoryUsageHeuristics(m_activeThreshold) will be
|
|
// 2000, but we will pretend as if the threshold was crossed if we reach 2000 -
|
|
// 1000 / 2, or 1500. The reasoning here is that we want to avoid thrashing. If
|
|
// this method returns false, then the JIT's threshold for when it will again call
|
|
// into the slow path (which will call this method a second time) will be set
|
|
// according to the difference between the current count and the target count
|
|
// according to *current* memory usage. But by the time we call into this again, we
|
|
// may have JIT'ed more code, and so the target count will increase slightly. This
|
|
// may lead to a repeating pattern where the target count is slightly incremented,
|
|
// the JIT immediately matches that increase, calls into the slow path again, and
|
|
// again the target count is slightly incremented. Instead of having this vicious
|
|
// cycle, we declare victory a bit early if the difference between the current
|
|
// total and our target according to memory heuristics is small. Our definition of
|
|
// small is arbitrarily picked to be half of the original threshold (i.e.
|
|
// m_activeThreshold).
|
|
|
|
double modifiedThreshold = applyMemoryUsageHeuristics(m_activeThreshold, codeBlock);
|
|
|
|
double actualCount = static_cast<double>(m_totalCount) + m_counter;
|
|
double desiredCount = modifiedThreshold - static_cast<double>(
|
|
std::min(m_activeThreshold, maximumExecutionCountsBetweenCheckpoints())) / 2;
|
|
|
|
bool result = actualCount >= desiredCount;
|
|
|
|
CODEBLOCK_LOG_EVENT(codeBlock, "thresholdCheck", ("activeThreshold = ", m_activeThreshold, ", modifiedThreshold = ", modifiedThreshold, ", actualCount = ", actualCount, ", desiredCount = ", desiredCount));
|
|
|
|
return result;
|
|
}
|
|
|
|
template<CountingVariant countingVariant>
|
|
bool ExecutionCounter<countingVariant>::setThreshold(CodeBlock* codeBlock)
|
|
{
|
|
if (m_activeThreshold == std::numeric_limits<int32_t>::max()) {
|
|
deferIndefinitely();
|
|
return false;
|
|
}
|
|
|
|
// Compute the true total count.
|
|
double trueTotalCount = count();
|
|
|
|
// Correct the threshold for current memory usage.
|
|
double threshold = applyMemoryUsageHeuristics(m_activeThreshold, codeBlock);
|
|
|
|
// Threshold must be non-negative and not NaN.
|
|
ASSERT(threshold >= 0);
|
|
|
|
// Adjust the threshold according to the number of executions we have already
|
|
// seen. This shouldn't go negative, but it might, because of round-off errors.
|
|
threshold -= trueTotalCount;
|
|
|
|
if (threshold <= 0) {
|
|
m_counter = 0;
|
|
m_totalCount = trueTotalCount;
|
|
return true;
|
|
}
|
|
|
|
threshold = clippedThreshold(codeBlock->globalObject(), threshold);
|
|
|
|
m_counter = static_cast<int32_t>(-threshold);
|
|
|
|
m_totalCount = trueTotalCount + threshold;
|
|
|
|
return false;
|
|
}
|
|
|
|
template<CountingVariant countingVariant>
|
|
void ExecutionCounter<countingVariant>::reset()
|
|
{
|
|
m_counter = 0;
|
|
m_totalCount = 0;
|
|
m_activeThreshold = 0;
|
|
}
|
|
|
|
template<CountingVariant countingVariant>
|
|
void ExecutionCounter<countingVariant>::dump(PrintStream& out) const
|
|
{
|
|
out.printf("%lf/%lf, %d", count(), static_cast<double>(m_activeThreshold), m_counter);
|
|
}
|
|
|
|
template class ExecutionCounter<CountingForBaseline>;
|
|
template class ExecutionCounter<CountingForUpperTiers>;
|
|
|
|
} // namespace JSC
|
|
|