// Copyright 2012 the V8 project authors. All rights reserved. // Use of this source code is governed by a BSD-style license that can be // found in the LICENSE file. #include "src/heap/heap-controller.h" #include "src/execution/isolate-inl.h" #include "src/heap/spaces.h" namespace v8 { namespace internal { template double MemoryController::GrowingFactor(Heap* heap, size_t max_heap_size, double gc_speed, double mutator_speed) { const double max_factor = MaxGrowingFactor(max_heap_size); const double factor = DynamicGrowingFactor(gc_speed, mutator_speed, max_factor); if (FLAG_trace_gc_verbose) { Isolate::FromHeap(heap)->PrintWithTimestamp( "[%s] factor %.1f based on mu=%.3f, speed_ratio=%.f " "(gc=%.f, mutator=%.f)\n", Trait::kName, factor, Trait::kTargetMutatorUtilization, gc_speed / mutator_speed, gc_speed, mutator_speed); } return factor; } template double MemoryController::MaxGrowingFactor(size_t max_heap_size) { constexpr double kMinSmallFactor = 1.3; constexpr double kMaxSmallFactor = 2.0; constexpr double kHighFactor = 4.0; size_t max_size = max_heap_size; max_size = Max(max_size, Trait::kMinSize); // If we are on a device with lots of memory, we allow a high heap // growing factor. if (max_size >= Trait::kMaxSize) { return kHighFactor; } DCHECK_GE(max_size, Trait::kMinSize); DCHECK_LT(max_size, Trait::kMaxSize); // On smaller devices we linearly scale the factor: (X-A)/(B-A)*(D-C)+C double factor = (max_size - Trait::kMinSize) * (kMaxSmallFactor - kMinSmallFactor) / (Trait::kMaxSize - Trait::kMinSize) + kMinSmallFactor; return factor; } // Given GC speed in bytes per ms, the allocation throughput in bytes per ms // (mutator speed), this function returns the heap growing factor that will // achieve the target_mutator_utilization_ if the GC speed and the mutator speed // remain the same until the next GC. // // For a fixed time-frame T = TM + TG, the mutator utilization is the ratio // TM / (TM + TG), where TM is the time spent in the mutator and TG is the // time spent in the garbage collector. // // Let MU be target_mutator_utilization_, the desired mutator utilization for // the time-frame from the end of the current GC to the end of the next GC. // Based on the MU we can compute the heap growing factor F as // // F = R * (1 - MU) / (R * (1 - MU) - MU), where R = gc_speed / mutator_speed. // // This formula can be derived as follows. // // F = Limit / Live by definition, where the Limit is the allocation limit, // and the Live is size of live objects. // Let’s assume that we already know the Limit. Then: // TG = Limit / gc_speed // TM = (TM + TG) * MU, by definition of MU. // TM = TG * MU / (1 - MU) // TM = Limit * MU / (gc_speed * (1 - MU)) // On the other hand, if the allocation throughput remains constant: // Limit = Live + TM * allocation_throughput = Live + TM * mutator_speed // Solving it for TM, we get // TM = (Limit - Live) / mutator_speed // Combining the two equation for TM: // (Limit - Live) / mutator_speed = Limit * MU / (gc_speed * (1 - MU)) // (Limit - Live) = Limit * MU * mutator_speed / (gc_speed * (1 - MU)) // substitute R = gc_speed / mutator_speed // (Limit - Live) = Limit * MU / (R * (1 - MU)) // substitute F = Limit / Live // F - 1 = F * MU / (R * (1 - MU)) // F - F * MU / (R * (1 - MU)) = 1 // F * (1 - MU / (R * (1 - MU))) = 1 // F * (R * (1 - MU) - MU) / (R * (1 - MU)) = 1 // F = R * (1 - MU) / (R * (1 - MU) - MU) template double MemoryController::DynamicGrowingFactor(double gc_speed, double mutator_speed, double max_factor) { DCHECK_LE(Trait::kMinGrowingFactor, max_factor); DCHECK_GE(Trait::kMaxGrowingFactor, max_factor); if (gc_speed == 0 || mutator_speed == 0) return max_factor; const double speed_ratio = gc_speed / mutator_speed; const double a = speed_ratio * (1 - Trait::kTargetMutatorUtilization); const double b = speed_ratio * (1 - Trait::kTargetMutatorUtilization) - Trait::kTargetMutatorUtilization; // The factor is a / b, but we need to check for small b first. double factor = (a < b * max_factor) ? a / b : max_factor; factor = Min(factor, max_factor); factor = Max(factor, Trait::kMinGrowingFactor); return factor; } template size_t MemoryController::MinimumAllocationLimitGrowingStep( Heap::HeapGrowingMode growing_mode) { const size_t kRegularAllocationLimitGrowingStep = 8; const size_t kLowMemoryAllocationLimitGrowingStep = 2; size_t limit = (Page::kPageSize > MB ? Page::kPageSize : MB); return limit * (growing_mode == Heap::HeapGrowingMode::kConservative ? kLowMemoryAllocationLimitGrowingStep : kRegularAllocationLimitGrowingStep); } template size_t MemoryController::CalculateAllocationLimit( Heap* heap, size_t current_size, size_t min_size, size_t max_size, size_t new_space_capacity, double factor, Heap::HeapGrowingMode growing_mode) { switch (growing_mode) { case Heap::HeapGrowingMode::kConservative: case Heap::HeapGrowingMode::kSlow: factor = Min(factor, Trait::kConservativeGrowingFactor); break; case Heap::HeapGrowingMode::kMinimal: factor = Trait::kMinGrowingFactor; break; case Heap::HeapGrowingMode::kDefault: break; } if (FLAG_heap_growing_percent > 0) { factor = 1.0 + FLAG_heap_growing_percent / 100.0; } if (FLAG_heap_growing_percent > 0) { factor = 1.0 + FLAG_heap_growing_percent / 100.0; } CHECK_LT(1.0, factor); CHECK_LT(0, current_size); const uint64_t limit = Max(static_cast(current_size * factor), static_cast(current_size) + MinimumAllocationLimitGrowingStep(growing_mode)) + new_space_capacity; const uint64_t limit_above_min_size = Max(limit, min_size); const uint64_t halfway_to_the_max = (static_cast(current_size) + max_size) / 2; const size_t result = static_cast(Min(limit_above_min_size, halfway_to_the_max)); if (FLAG_trace_gc_verbose) { Isolate::FromHeap(heap)->PrintWithTimestamp( "[%s] Limit: old size: %zu KB, new limit: %zu KB (%.1f)\n", Trait::kName, current_size / KB, result / KB, factor); } return result; } template class V8_EXPORT_PRIVATE MemoryController; template class V8_EXPORT_PRIVATE MemoryController; const char* V8HeapTrait::kName = "HeapController"; const char* GlobalMemoryTrait::kName = "GlobalMemoryController"; } // namespace internal } // namespace v8