// Copyright 2021 The Go Authors. All rights reserved. // Use of this source code is governed by a BSD-style // license that can be found in the LICENSE file. package runtime import ( "internal/cpu" "internal/goexperiment" "runtime/internal/atomic" "unsafe" ) const ( // gcGoalUtilization is the goal CPU utilization for // marking as a fraction of GOMAXPROCS. // // Increasing the goal utilization will shorten GC cycles as the GC // has more resources behind it, lessening costs from the write barrier, // but comes at the cost of increasing mutator latency. gcGoalUtilization = gcBackgroundUtilization // gcBackgroundUtilization is the fixed CPU utilization for background // marking. It must be <= gcGoalUtilization. The difference between // gcGoalUtilization and gcBackgroundUtilization will be made up by // mark assists. The scheduler will aim to use within 50% of this // goal. // // As a general rule, there's little reason to set gcBackgroundUtilization // < gcGoalUtilization. One reason might be in mostly idle applications, // where goroutines are unlikely to assist at all, so the actual // utilization will be lower than the goal. But this is moot point // because the idle mark workers already soak up idle CPU resources. // These two values are still kept separate however because they are // distinct conceptually, and in previous iterations of the pacer the // distinction was more important. gcBackgroundUtilization = 0.25 // gcCreditSlack is the amount of scan work credit that can // accumulate locally before updating gcController.heapScanWork and, // optionally, gcController.bgScanCredit. Lower values give a more // accurate assist ratio and make it more likely that assists will // successfully steal background credit. Higher values reduce memory // contention. gcCreditSlack = 2000 // gcAssistTimeSlack is the nanoseconds of mutator assist time that // can accumulate on a P before updating gcController.assistTime. gcAssistTimeSlack = 5000 // gcOverAssistWork determines how many extra units of scan work a GC // assist does when an assist happens. This amortizes the cost of an // assist by pre-paying for this many bytes of future allocations. gcOverAssistWork = 64 << 10 // defaultHeapMinimum is the value of heapMinimum for GOGC==100. defaultHeapMinimum = (goexperiment.HeapMinimum512KiBInt)*(512<<10) + (1-goexperiment.HeapMinimum512KiBInt)*(4<<20) // scannableStackSizeSlack is the bytes of stack space allocated or freed // that can accumulate on a P before updating gcController.stackSize. scannableStackSizeSlack = 8 << 10 ) func init() { if offset := unsafe.Offsetof(gcController.heapLive); offset%8 != 0 { println(offset) throw("gcController.heapLive not aligned to 8 bytes") } } // gcController implements the GC pacing controller that determines // when to trigger concurrent garbage collection and how much marking // work to do in mutator assists and background marking. // // It calculates the ratio between the allocation rate (in terms of CPU // time) and the GC scan throughput to determine the heap size at which to // trigger a GC cycle such that no GC assists are required to finish on time. // This algorithm thus optimizes GC CPU utilization to the dedicated background // mark utilization of 25% of GOMAXPROCS by minimizing GC assists. // GOMAXPROCS. The high-level design of this algorithm is documented // at https://github.com/golang/proposal/blob/master/design/44167-gc-pacer-redesign.md. // See https://golang.org/s/go15gcpacing for additional historical context. var gcController gcControllerState type gcControllerState struct { // Initialized from GOGC. GOGC=off means no GC. gcPercent atomic.Int32 _ uint32 // padding so following 64-bit values are 8-byte aligned // heapMinimum is the minimum heap size at which to trigger GC. // For small heaps, this overrides the usual GOGC*live set rule. // // When there is a very small live set but a lot of allocation, simply // collecting when the heap reaches GOGC*live results in many GC // cycles and high total per-GC overhead. This minimum amortizes this // per-GC overhead while keeping the heap reasonably small. // // During initialization this is set to 4MB*GOGC/100. In the case of // GOGC==0, this will set heapMinimum to 0, resulting in constant // collection even when the heap size is small, which is useful for // debugging. heapMinimum uint64 // trigger is the heap size that triggers marking. // // When heapLive ≥ trigger, the mark phase will start. // This is also the heap size by which proportional sweeping // must be complete. // // This is computed from consMark during mark termination for // the next cycle's trigger. // // Protected by mheap_.lock or a STW. trigger uint64 // consMark is the estimated per-CPU consMark ratio for the application. // // It represents the ratio between the application's allocation // rate, as bytes allocated per CPU-time, and the GC's scan rate, // as bytes scanned per CPU-time. // The units of this ratio are (B / cpu-ns) / (B / cpu-ns). // // At a high level, this value is computed as the bytes of memory // allocated (cons) per unit of scan work completed (mark) in a GC // cycle, divided by the CPU time spent on each activity. // // Updated at the end of each GC cycle, in endCycle. consMark float64 // consMarkController holds the state for the mark-cons ratio // estimation over time. // // Its purpose is to smooth out noisiness in the computation of // consMark; see consMark for details. consMarkController piController _ uint32 // Padding for atomics on 32-bit platforms. // heapGoal is the goal heapLive for when next GC ends. // Set to ^uint64(0) if disabled. // // Read and written atomically, unless the world is stopped. heapGoal uint64 // lastHeapGoal is the value of heapGoal for the previous GC. // Note that this is distinct from the last value heapGoal had, // because it could change if e.g. gcPercent changes. // // Read and written with the world stopped or with mheap_.lock held. lastHeapGoal uint64 // heapLive is the number of bytes considered live by the GC. // That is: retained by the most recent GC plus allocated // since then. heapLive ≤ memstats.heapAlloc, since heapAlloc includes // unmarked objects that have not yet been swept (and hence goes up as we // allocate and down as we sweep) while heapLive excludes these // objects (and hence only goes up between GCs). // // This is updated atomically without locking. To reduce // contention, this is updated only when obtaining a span from // an mcentral and at this point it counts all of the // unallocated slots in that span (which will be allocated // before that mcache obtains another span from that // mcentral). Hence, it slightly overestimates the "true" live // heap size. It's better to overestimate than to // underestimate because 1) this triggers the GC earlier than // necessary rather than potentially too late and 2) this // leads to a conservative GC rate rather than a GC rate that // is potentially too low. // // Reads should likewise be atomic (or during STW). // // Whenever this is updated, call traceHeapAlloc() and // this gcControllerState's revise() method. heapLive uint64 // heapScan is the number of bytes of "scannable" heap. This // is the live heap (as counted by heapLive), but omitting // no-scan objects and no-scan tails of objects. // // This value is fixed at the start of a GC cycle, so during a // GC cycle it is safe to read without atomics, and it represents // the maximum scannable heap. heapScan uint64 // lastHeapScan is the number of bytes of heap that were scanned // last GC cycle. It is the same as heapMarked, but only // includes the "scannable" parts of objects. // // Updated when the world is stopped. lastHeapScan uint64 // stackScan is a snapshot of scannableStackSize taken at each GC // STW pause and is used in pacing decisions. // // Updated only while the world is stopped. stackScan uint64 // scannableStackSize is the amount of allocated goroutine stack space in // use by goroutines. // // This number tracks allocated goroutine stack space rather than used // goroutine stack space (i.e. what is actually scanned) because used // goroutine stack space is much harder to measure cheaply. By using // allocated space, we make an overestimate; this is OK, it's better // to conservatively overcount than undercount. // // Read and updated atomically. scannableStackSize uint64 // globalsScan is the total amount of global variable space // that is scannable. // // Read and updated atomically. globalsScan uint64 // heapMarked is the number of bytes marked by the previous // GC. After mark termination, heapLive == heapMarked, but // unlike heapLive, heapMarked does not change until the // next mark termination. heapMarked uint64 // heapScanWork is the total heap scan work performed this cycle. // stackScanWork is the total stack scan work performed this cycle. // globalsScanWork is the total globals scan work performed this cycle. // // These are updated atomically during the cycle. Updates occur in // bounded batches, since they are both written and read // throughout the cycle. At the end of the cycle, heapScanWork is how // much of the retained heap is scannable. // // Currently these are measured in bytes. For most uses, this is an // opaque unit of work, but for estimation the definition is important. // // Note that stackScanWork includes all allocated space, not just the // size of the stack itself, mirroring stackSize. heapScanWork atomic.Int64 stackScanWork atomic.Int64 globalsScanWork atomic.Int64 // bgScanCredit is the scan work credit accumulated by the // concurrent background scan. This credit is accumulated by // the background scan and stolen by mutator assists. This is // updated atomically. Updates occur in bounded batches, since // it is both written and read throughout the cycle. bgScanCredit int64 // assistTime is the nanoseconds spent in mutator assists // during this cycle. This is updated atomically. Updates // occur in bounded batches, since it is both written and read // throughout the cycle. assistTime int64 // dedicatedMarkTime is the nanoseconds spent in dedicated // mark workers during this cycle. This is updated atomically // at the end of the concurrent mark phase. dedicatedMarkTime int64 // fractionalMarkTime is the nanoseconds spent in the // fractional mark worker during this cycle. This is updated // atomically throughout the cycle and will be up-to-date if // the fractional mark worker is not currently running. fractionalMarkTime int64 // idleMarkTime is the nanoseconds spent in idle marking // during this cycle. This is updated atomically throughout // the cycle. idleMarkTime int64 // markStartTime is the absolute start time in nanoseconds // that assists and background mark workers started. markStartTime int64 // dedicatedMarkWorkersNeeded is the number of dedicated mark // workers that need to be started. This is computed at the // beginning of each cycle and decremented atomically as // dedicated mark workers get started. dedicatedMarkWorkersNeeded int64 // idleMarkWorkers is two packed int32 values in a single uint64. // These two values are always updated simultaneously. // // The bottom int32 is the current number of idle mark workers executing. // // The top int32 is the maximum number of idle mark workers allowed to // execute concurrently. Normally, this number is just gomaxprocs. However, // during periodic GC cycles it is set to 1 because the system is idle // anyway; there's no need to go full blast on all of GOMAXPROCS. // // The maximum number of idle mark workers is used to prevent new workers // from starting, but it is not a hard maximum. It is possible (but // exceedingly rare) for the current number of idle mark workers to // transiently exceed the maximum. This could happen if the maximum changes // just after a GC ends, and an M with no P. // // Note that the maximum may not be zero because idle-priority mark workers // are vital to GC progress. Consider a situation in which goroutines // block on the GC (such as via runtime.GOMAXPROCS) and only fractional // mark workers are scheduled (e.g. GOMAXPROCS=1). Without idle-priority // mark workers, the last running M might skip scheduling a fractional // mark worker if its utilization goal is met, such that once it goes to // sleep (because there's nothing to do), there will be nothing else to // spin up a new M for the fractional worker in the future, stalling GC // progress and causing a deadlock. However, idle-priority workers will // *always* run when there is nothing left to do, ensuring the GC makes // progress. idleMarkWorkers atomic.Uint64 // assistWorkPerByte is the ratio of scan work to allocated // bytes that should be performed by mutator assists. This is // computed at the beginning of each cycle and updated every // time heapScan is updated. assistWorkPerByte atomic.Float64 // assistBytesPerWork is 1/assistWorkPerByte. // // Note that because this is read and written independently // from assistWorkPerByte users may notice a skew between // the two values, and such a state should be safe. assistBytesPerWork atomic.Float64 // fractionalUtilizationGoal is the fraction of wall clock // time that should be spent in the fractional mark worker on // each P that isn't running a dedicated worker. // // For example, if the utilization goal is 25% and there are // no dedicated workers, this will be 0.25. If the goal is // 25%, there is one dedicated worker, and GOMAXPROCS is 5, // this will be 0.05 to make up the missing 5%. // // If this is zero, no fractional workers are needed. fractionalUtilizationGoal float64 // test indicates that this is a test-only copy of gcControllerState. test bool _ cpu.CacheLinePad } func (c *gcControllerState) init(gcPercent int32) { c.heapMinimum = defaultHeapMinimum c.consMarkController = piController{ // Tuned first via the Ziegler-Nichols process in simulation, // then the integral time was manually tuned against real-world // applications to deal with noisiness in the measured cons/mark // ratio. kp: 0.9, ti: 4.0, // Set a high reset time in GC cycles. // This is inversely proportional to the rate at which we // accumulate error from clipping. By making this very high // we make the accumulation slow. In general, clipping is // OK in our situation, hence the choice. // // Tune this if we get unintended effects from clipping for // a long time. tt: 1000, min: -1000, max: 1000, } // This will also compute and set the GC trigger and goal. c.setGCPercent(gcPercent) } // startCycle resets the GC controller's state and computes estimates // for a new GC cycle. The caller must hold worldsema and the world // must be stopped. func (c *gcControllerState) startCycle(markStartTime int64, procs int, trigger gcTrigger) { c.heapScanWork.Store(0) c.stackScanWork.Store(0) c.globalsScanWork.Store(0) c.bgScanCredit = 0 c.assistTime = 0 c.dedicatedMarkTime = 0 c.fractionalMarkTime = 0 c.idleMarkTime = 0 c.markStartTime = markStartTime c.stackScan = atomic.Load64(&c.scannableStackSize) // Ensure that the heap goal is at least a little larger than // the current live heap size. This may not be the case if GC // start is delayed or if the allocation that pushed gcController.heapLive // over trigger is large or if the trigger is really close to // GOGC. Assist is proportional to this distance, so enforce a // minimum distance, even if it means going over the GOGC goal // by a tiny bit. if c.heapGoal < c.heapLive+64<<10 { c.heapGoal = c.heapLive + 64<<10 } // Compute the background mark utilization goal. In general, // this may not come out exactly. We round the number of // dedicated workers so that the utilization is closest to // 25%. For small GOMAXPROCS, this would introduce too much // error, so we add fractional workers in that case. totalUtilizationGoal := float64(procs) * gcBackgroundUtilization c.dedicatedMarkWorkersNeeded = int64(totalUtilizationGoal + 0.5) utilError := float64(c.dedicatedMarkWorkersNeeded)/totalUtilizationGoal - 1 const maxUtilError = 0.3 if utilError < -maxUtilError || utilError > maxUtilError { // Rounding put us more than 30% off our goal. With // gcBackgroundUtilization of 25%, this happens for // GOMAXPROCS<=3 or GOMAXPROCS=6. Enable fractional // workers to compensate. if float64(c.dedicatedMarkWorkersNeeded) > totalUtilizationGoal { // Too many dedicated workers. c.dedicatedMarkWorkersNeeded-- } c.fractionalUtilizationGoal = (totalUtilizationGoal - float64(c.dedicatedMarkWorkersNeeded)) / float64(procs) } else { c.fractionalUtilizationGoal = 0 } // In STW mode, we just want dedicated workers. if debug.gcstoptheworld > 0 { c.dedicatedMarkWorkersNeeded = int64(procs) c.fractionalUtilizationGoal = 0 } // Clear per-P state for _, p := range allp { p.gcAssistTime = 0 p.gcFractionalMarkTime = 0 } if trigger.kind == gcTriggerTime { // During a periodic GC cycle, avoid having more than // one idle mark worker running at a time. We need to have // at least one to ensure the GC makes progress, but more than // one is unnecessary. c.setMaxIdleMarkWorkers(1) } else { // N.B. gomaxprocs and dedicatedMarkWorkersNeeded is guaranteed not to // change during a GC cycle. c.setMaxIdleMarkWorkers(int32(procs) - int32(c.dedicatedMarkWorkersNeeded)) } // Compute initial values for controls that are updated // throughout the cycle. c.revise() if debug.gcpacertrace > 0 { assistRatio := c.assistWorkPerByte.Load() print("pacer: assist ratio=", assistRatio, " (scan ", gcController.heapScan>>20, " MB in ", work.initialHeapLive>>20, "->", c.heapGoal>>20, " MB)", " workers=", c.dedicatedMarkWorkersNeeded, "+", c.fractionalUtilizationGoal, "\n") } } // revise updates the assist ratio during the GC cycle to account for // improved estimates. This should be called whenever gcController.heapScan, // gcController.heapLive, or gcController.heapGoal is updated. It is safe to // call concurrently, but it may race with other calls to revise. // // The result of this race is that the two assist ratio values may not line // up or may be stale. In practice this is OK because the assist ratio // moves slowly throughout a GC cycle, and the assist ratio is a best-effort // heuristic anyway. Furthermore, no part of the heuristic depends on // the two assist ratio values being exact reciprocals of one another, since // the two values are used to convert values from different sources. // // The worst case result of this raciness is that we may miss a larger shift // in the ratio (say, if we decide to pace more aggressively against the // hard heap goal) but even this "hard goal" is best-effort (see #40460). // The dedicated GC should ensure we don't exceed the hard goal by too much // in the rare case we do exceed it. // // It should only be called when gcBlackenEnabled != 0 (because this // is when assists are enabled and the necessary statistics are // available). func (c *gcControllerState) revise() { gcPercent := c.gcPercent.Load() if gcPercent < 0 { // If GC is disabled but we're running a forced GC, // act like GOGC is huge for the below calculations. gcPercent = 100000 } live := atomic.Load64(&c.heapLive) scan := atomic.Load64(&c.heapScan) work := c.heapScanWork.Load() + c.stackScanWork.Load() + c.globalsScanWork.Load() // Assume we're under the soft goal. Pace GC to complete at // heapGoal assuming the heap is in steady-state. heapGoal := int64(atomic.Load64(&c.heapGoal)) // The expected scan work is computed as the amount of bytes scanned last // GC cycle, plus our estimate of stacks and globals work for this cycle. scanWorkExpected := int64(c.lastHeapScan + c.stackScan + c.globalsScan) // maxScanWork is a worst-case estimate of the amount of scan work that // needs to be performed in this GC cycle. Specifically, it represents // the case where *all* scannable memory turns out to be live. maxScanWork := int64(scan + c.stackScan + c.globalsScan) if work > scanWorkExpected { // We've already done more scan work than expected. Because our expectation // is based on a steady-state scannable heap size, we assume this means our // heap is growing. Compute a new heap goal that takes our existing runway // computed for scanWorkExpected and extrapolates it to maxScanWork, the worst-case // scan work. This keeps our assist ratio stable if the heap continues to grow. // // The effect of this mechanism is that assists stay flat in the face of heap // growths. It's OK to use more memory this cycle to scan all the live heap, // because the next GC cycle is inevitably going to use *at least* that much // memory anyway. extHeapGoal := int64(float64(heapGoal-int64(c.trigger))/float64(scanWorkExpected)*float64(maxScanWork)) + int64(c.trigger) scanWorkExpected = maxScanWork // hardGoal is a hard limit on the amount that we're willing to push back the // heap goal, and that's twice the heap goal (i.e. if GOGC=100 and the heap and/or // stacks and/or globals grow to twice their size, this limits the current GC cycle's // growth to 4x the original live heap's size). // // This maintains the invariant that we use no more memory than the next GC cycle // will anyway. hardGoal := int64((1.0 + float64(gcPercent)/100.0) * float64(heapGoal)) if extHeapGoal > hardGoal { extHeapGoal = hardGoal } heapGoal = extHeapGoal } if int64(live) > heapGoal { // We're already past our heap goal, even the extrapolated one. // Leave ourselves some extra runway, so in the worst case we // finish by that point. const maxOvershoot = 1.1 heapGoal = int64(float64(heapGoal) * maxOvershoot) // Compute the upper bound on the scan work remaining. scanWorkExpected = maxScanWork } // Compute the remaining scan work estimate. // // Note that we currently count allocations during GC as both // scannable heap (heapScan) and scan work completed // (scanWork), so allocation will change this difference // slowly in the soft regime and not at all in the hard // regime. scanWorkRemaining := scanWorkExpected - work if scanWorkRemaining < 1000 { // We set a somewhat arbitrary lower bound on // remaining scan work since if we aim a little high, // we can miss by a little. // // We *do* need to enforce that this is at least 1, // since marking is racy and double-scanning objects // may legitimately make the remaining scan work // negative, even in the hard goal regime. scanWorkRemaining = 1000 } // Compute the heap distance remaining. heapRemaining := heapGoal - int64(live) if heapRemaining <= 0 { // This shouldn't happen, but if it does, avoid // dividing by zero or setting the assist negative. heapRemaining = 1 } // Compute the mutator assist ratio so by the time the mutator // allocates the remaining heap bytes up to heapGoal, it will // have done (or stolen) the remaining amount of scan work. // Note that the assist ratio values are updated atomically // but not together. This means there may be some degree of // skew between the two values. This is generally OK as the // values shift relatively slowly over the course of a GC // cycle. assistWorkPerByte := float64(scanWorkRemaining) / float64(heapRemaining) assistBytesPerWork := float64(heapRemaining) / float64(scanWorkRemaining) c.assistWorkPerByte.Store(assistWorkPerByte) c.assistBytesPerWork.Store(assistBytesPerWork) } // endCycle computes the consMark estimate for the next cycle. // userForced indicates whether the current GC cycle was forced // by the application. func (c *gcControllerState) endCycle(now int64, procs int, userForced bool) { // Record last heap goal for the scavenger. // We'll be updating the heap goal soon. gcController.lastHeapGoal = gcController.heapGoal // Compute the duration of time for which assists were turned on. assistDuration := now - c.markStartTime // Assume background mark hit its utilization goal. utilization := gcBackgroundUtilization // Add assist utilization; avoid divide by zero. if assistDuration > 0 { utilization += float64(c.assistTime) / float64(assistDuration*int64(procs)) } if c.heapLive <= c.trigger { // Shouldn't happen, but let's be very safe about this in case the // GC is somehow extremely short. // // In this case though, the only reasonable value for c.heapLive-c.trigger // would be 0, which isn't really all that useful, i.e. the GC was so short // that it didn't matter. // // Ignore this case and don't update anything. return } idleUtilization := 0.0 if assistDuration > 0 { idleUtilization = float64(c.idleMarkTime) / float64(assistDuration*int64(procs)) } // Determine the cons/mark ratio. // // The units we want for the numerator and denominator are both B / cpu-ns. // We get this by taking the bytes allocated or scanned, and divide by the amount of // CPU time it took for those operations. For allocations, that CPU time is // // assistDuration * procs * (1 - utilization) // // Where utilization includes just background GC workers and assists. It does *not* // include idle GC work time, because in theory the mutator is free to take that at // any point. // // For scanning, that CPU time is // // assistDuration * procs * (utilization + idleUtilization) // // In this case, we *include* idle utilization, because that is additional CPU time that the // the GC had available to it. // // In effect, idle GC time is sort of double-counted here, but it's very weird compared // to other kinds of GC work, because of how fluid it is. Namely, because the mutator is // *always* free to take it. // // So this calculation is really: // (heapLive-trigger) / (assistDuration * procs * (1-utilization)) / // (scanWork) / (assistDuration * procs * (utilization+idleUtilization) // // Note that because we only care about the ratio, assistDuration and procs cancel out. scanWork := c.heapScanWork.Load() + c.stackScanWork.Load() + c.globalsScanWork.Load() currentConsMark := (float64(c.heapLive-c.trigger) * (utilization + idleUtilization)) / (float64(scanWork) * (1 - utilization)) // Update cons/mark controller. The time period for this is 1 GC cycle. // // This use of a PI controller might seem strange. So, here's an explanation: // // currentConsMark represents the consMark we *should've* had to be perfectly // on-target for this cycle. Given that we assume the next GC will be like this // one in the steady-state, it stands to reason that we should just pick that // as our next consMark. In practice, however, currentConsMark is too noisy: // we're going to be wildly off-target in each GC cycle if we do that. // // What we do instead is make a long-term assumption: there is some steady-state // consMark value, but it's obscured by noise. By constantly shooting for this // noisy-but-perfect consMark value, the controller will bounce around a bit, // but its average behavior, in aggregate, should be less noisy and closer to // the true long-term consMark value, provided its tuned to be slightly overdamped. var ok bool oldConsMark := c.consMark c.consMark, ok = c.consMarkController.next(c.consMark, currentConsMark, 1.0) if !ok { // The error spiraled out of control. This is incredibly unlikely seeing // as this controller is essentially just a smoothing function, but it might // mean that something went very wrong with how currentConsMark was calculated. // Just reset consMark and keep going. c.consMark = 0 } if debug.gcpacertrace > 0 { printlock() goal := gcGoalUtilization * 100 print("pacer: ", int(utilization*100), "% CPU (", int(goal), " exp.) for ") print(c.heapScanWork.Load(), "+", c.stackScanWork.Load(), "+", c.globalsScanWork.Load(), " B work (", c.lastHeapScan+c.stackScan+c.globalsScan, " B exp.) ") print("in ", c.trigger, " B -> ", c.heapLive, " B (∆goal ", int64(c.heapLive)-int64(c.heapGoal), ", cons/mark ", oldConsMark, ")") if !ok { print("[controller reset]") } println() printunlock() } } // enlistWorker encourages another dedicated mark worker to start on // another P if there are spare worker slots. It is used by putfull // when more work is made available. // //go:nowritebarrier func (c *gcControllerState) enlistWorker() { // If there are idle Ps, wake one so it will run an idle worker. // NOTE: This is suspected of causing deadlocks. See golang.org/issue/19112. // // if atomic.Load(&sched.npidle) != 0 && atomic.Load(&sched.nmspinning) == 0 { // wakep() // return // } // There are no idle Ps. If we need more dedicated workers, // try to preempt a running P so it will switch to a worker. if c.dedicatedMarkWorkersNeeded <= 0 { return } // Pick a random other P to preempt. if gomaxprocs <= 1 { return } gp := getg() if gp == nil || gp.m == nil || gp.m.p == 0 { return } myID := gp.m.p.ptr().id for tries := 0; tries < 5; tries++ { id := int32(fastrandn(uint32(gomaxprocs - 1))) if id >= myID { id++ } p := allp[id] if p.status != _Prunning { continue } if preemptone(p) { return } } } // findRunnableGCWorker returns a background mark worker for _p_ if it // should be run. This must only be called when gcBlackenEnabled != 0. func (c *gcControllerState) findRunnableGCWorker(_p_ *p) *g { if gcBlackenEnabled == 0 { throw("gcControllerState.findRunnable: blackening not enabled") } if !gcMarkWorkAvailable(_p_) { // No work to be done right now. This can happen at // the end of the mark phase when there are still // assists tapering off. Don't bother running a worker // now because it'll just return immediately. return nil } // Grab a worker before we commit to running below. node := (*gcBgMarkWorkerNode)(gcBgMarkWorkerPool.pop()) if node == nil { // There is at least one worker per P, so normally there are // enough workers to run on all Ps, if necessary. However, once // a worker enters gcMarkDone it may park without rejoining the // pool, thus freeing a P with no corresponding worker. // gcMarkDone never depends on another worker doing work, so it // is safe to simply do nothing here. // // If gcMarkDone bails out without completing the mark phase, // it will always do so with queued global work. Thus, that P // will be immediately eligible to re-run the worker G it was // just using, ensuring work can complete. return nil } decIfPositive := func(ptr *int64) bool { for { v := atomic.Loadint64(ptr) if v <= 0 { return false } if atomic.Casint64(ptr, v, v-1) { return true } } } if decIfPositive(&c.dedicatedMarkWorkersNeeded) { // This P is now dedicated to marking until the end of // the concurrent mark phase. _p_.gcMarkWorkerMode = gcMarkWorkerDedicatedMode } else if c.fractionalUtilizationGoal == 0 { // No need for fractional workers. gcBgMarkWorkerPool.push(&node.node) return nil } else { // Is this P behind on the fractional utilization // goal? // // This should be kept in sync with pollFractionalWorkerExit. delta := nanotime() - c.markStartTime if delta > 0 && float64(_p_.gcFractionalMarkTime)/float64(delta) > c.fractionalUtilizationGoal { // Nope. No need to run a fractional worker. gcBgMarkWorkerPool.push(&node.node) return nil } // Run a fractional worker. _p_.gcMarkWorkerMode = gcMarkWorkerFractionalMode } // Run the background mark worker. gp := node.gp.ptr() casgstatus(gp, _Gwaiting, _Grunnable) if trace.enabled { traceGoUnpark(gp, 0) } return gp } // resetLive sets up the controller state for the next mark phase after the end // of the previous one. Must be called after endCycle and before commit, before // the world is started. // // The world must be stopped. func (c *gcControllerState) resetLive(bytesMarked uint64) { c.heapMarked = bytesMarked c.heapLive = bytesMarked c.heapScan = uint64(c.heapScanWork.Load()) c.lastHeapScan = uint64(c.heapScanWork.Load()) // heapLive was updated, so emit a trace event. if trace.enabled { traceHeapAlloc() } } // markWorkerStop must be called whenever a mark worker stops executing. // // It updates mark work accounting in the controller by a duration of // work in nanoseconds and other bookkeeping. // // Safe to execute at any time. func (c *gcControllerState) markWorkerStop(mode gcMarkWorkerMode, duration int64) { switch mode { case gcMarkWorkerDedicatedMode: atomic.Xaddint64(&c.dedicatedMarkTime, duration) atomic.Xaddint64(&c.dedicatedMarkWorkersNeeded, 1) case gcMarkWorkerFractionalMode: atomic.Xaddint64(&c.fractionalMarkTime, duration) case gcMarkWorkerIdleMode: atomic.Xaddint64(&c.idleMarkTime, duration) c.removeIdleMarkWorker() default: throw("markWorkerStop: unknown mark worker mode") } } func (c *gcControllerState) update(dHeapLive, dHeapScan int64) { if dHeapLive != 0 { atomic.Xadd64(&gcController.heapLive, dHeapLive) if trace.enabled { // gcController.heapLive changed. traceHeapAlloc() } } if gcBlackenEnabled == 0 { // Update heapScan when we're not in a current GC. It is fixed // at the beginning of a cycle. if dHeapScan != 0 { atomic.Xadd64(&gcController.heapScan, dHeapScan) } } else { // gcController.heapLive changed. c.revise() } } func (c *gcControllerState) addScannableStack(pp *p, amount int64) { if pp == nil { atomic.Xadd64(&c.scannableStackSize, amount) return } pp.scannableStackSizeDelta += amount if pp.scannableStackSizeDelta >= scannableStackSizeSlack || pp.scannableStackSizeDelta <= -scannableStackSizeSlack { atomic.Xadd64(&c.scannableStackSize, pp.scannableStackSizeDelta) pp.scannableStackSizeDelta = 0 } } func (c *gcControllerState) addGlobals(amount int64) { atomic.Xadd64(&c.globalsScan, amount) } // commit recomputes all pacing parameters from scratch, namely // absolute trigger, the heap goal, mark pacing, and sweep pacing. // // This can be called any time. If GC is the in the middle of a // concurrent phase, it will adjust the pacing of that phase. // // This depends on gcPercent, gcController.heapMarked, and // gcController.heapLive. These must be up to date. // // mheap_.lock must be held or the world must be stopped. func (c *gcControllerState) commit() { if !c.test { assertWorldStoppedOrLockHeld(&mheap_.lock) } // Compute the next GC goal, which is when the allocated heap // has grown by GOGC/100 over where it started the last cycle, // plus additional runway for non-heap sources of GC work. goal := ^uint64(0) if gcPercent := c.gcPercent.Load(); gcPercent >= 0 { goal = c.heapMarked + (c.heapMarked+atomic.Load64(&c.stackScan)+atomic.Load64(&c.globalsScan))*uint64(gcPercent)/100 } // Don't trigger below the minimum heap size. minTrigger := c.heapMinimum if !isSweepDone() { // Concurrent sweep happens in the heap growth // from gcController.heapLive to trigger, so ensure // that concurrent sweep has some heap growth // in which to perform sweeping before we // start the next GC cycle. sweepMin := atomic.Load64(&c.heapLive) + sweepMinHeapDistance if sweepMin > minTrigger { minTrigger = sweepMin } } // If we let the trigger go too low, then if the application // is allocating very rapidly we might end up in a situation // where we're allocating black during a nearly always-on GC. // The result of this is a growing heap and ultimately an // increase in RSS. By capping us at a point >0, we're essentially // saying that we're OK using more CPU during the GC to prevent // this growth in RSS. // // The current constant was chosen empirically: given a sufficiently // fast/scalable allocator with 48 Ps that could drive the trigger ratio // to <0.05, this constant causes applications to retain the same peak // RSS compared to not having this allocator. if triggerBound := uint64(0.7*float64(goal-c.heapMarked)) + c.heapMarked; minTrigger < triggerBound { minTrigger = triggerBound } // For small heaps, set the max trigger point at 95% of the heap goal. // This ensures we always have *some* headroom when the GC actually starts. // For larger heaps, set the max trigger point at the goal, minus the // minimum heap size. // This choice follows from the fact that the minimum heap size is chosen // to reflect the costs of a GC with no work to do. With a large heap but // very little scan work to perform, this gives us exactly as much runway // as we would need, in the worst case. maxRunway := uint64(0.95 * float64(goal-c.heapMarked)) if largeHeapMaxRunway := goal - c.heapMinimum; goal > c.heapMinimum && maxRunway < largeHeapMaxRunway { maxRunway = largeHeapMaxRunway } maxTrigger := maxRunway + c.heapMarked if maxTrigger < minTrigger { maxTrigger = minTrigger } // Compute the trigger by using our estimate of the cons/mark ratio. // // The idea is to take our expected scan work, and multiply it by // the cons/mark ratio to determine how long it'll take to complete // that scan work in terms of bytes allocated. This gives us our GC's // runway. // // However, the cons/mark ratio is a ratio of rates per CPU-second, but // here we care about the relative rates for some division of CPU // resources among the mutator and the GC. // // To summarize, we have B / cpu-ns, and we want B / ns. We get that // by multiplying by our desired division of CPU resources. We choose // to express CPU resources as GOMAPROCS*fraction. Note that because // we're working with a ratio here, we can omit the number of CPU cores, // because they'll appear in the numerator and denominator and cancel out. // As a result, this is basically just "weighing" the cons/mark ratio by // our desired division of resources. // // Furthermore, by setting the trigger so that CPU resources are divided // this way, assuming that the cons/mark ratio is correct, we make that // division a reality. var trigger uint64 runway := uint64((c.consMark * (1 - gcGoalUtilization) / (gcGoalUtilization)) * float64(c.lastHeapScan+c.stackScan+c.globalsScan)) if runway > goal { trigger = minTrigger } else { trigger = goal - runway } if trigger < minTrigger { trigger = minTrigger } if trigger > maxTrigger { trigger = maxTrigger } if trigger > goal { goal = trigger } // Commit to the trigger and goal. c.trigger = trigger atomic.Store64(&c.heapGoal, goal) if trace.enabled { traceHeapGoal() } // Update mark pacing. if gcphase != _GCoff { c.revise() } } // effectiveGrowthRatio returns the current effective heap growth // ratio (GOGC/100) based on heapMarked from the previous GC and // heapGoal for the current GC. // // This may differ from gcPercent/100 because of various upper and // lower bounds on gcPercent. For example, if the heap is smaller than // heapMinimum, this can be higher than gcPercent/100. // // mheap_.lock must be held or the world must be stopped. func (c *gcControllerState) effectiveGrowthRatio() float64 { if !c.test { assertWorldStoppedOrLockHeld(&mheap_.lock) } egogc := float64(atomic.Load64(&c.heapGoal)-c.heapMarked) / float64(c.heapMarked) if egogc < 0 { // Shouldn't happen, but just in case. egogc = 0 } return egogc } // setGCPercent updates gcPercent and all related pacer state. // Returns the old value of gcPercent. // // Calls gcControllerState.commit. // // The world must be stopped, or mheap_.lock must be held. func (c *gcControllerState) setGCPercent(in int32) int32 { if !c.test { assertWorldStoppedOrLockHeld(&mheap_.lock) } out := c.gcPercent.Load() if in < 0 { in = -1 } c.heapMinimum = defaultHeapMinimum * uint64(in) / 100 c.gcPercent.Store(in) // Update pacing in response to gcPercent change. c.commit() return out } //go:linkname setGCPercent runtime/debug.setGCPercent func setGCPercent(in int32) (out int32) { // Run on the system stack since we grab the heap lock. systemstack(func() { lock(&mheap_.lock) out = gcController.setGCPercent(in) gcPaceSweeper(gcController.trigger) gcPaceScavenger(gcController.heapGoal, gcController.lastHeapGoal) unlock(&mheap_.lock) }) // If we just disabled GC, wait for any concurrent GC mark to // finish so we always return with no GC running. if in < 0 { gcWaitOnMark(atomic.Load(&work.cycles)) } return out } func readGOGC() int32 { p := gogetenv("GOGC") if p == "off" { return -1 } if n, ok := atoi32(p); ok { return n } return 100 } type piController struct { kp float64 // Proportional constant. ti float64 // Integral time constant. tt float64 // Reset time. min, max float64 // Output boundaries. // PI controller state. errIntegral float64 // Integral of the error from t=0 to now. // Error flags. errOverflow bool // Set if errIntegral ever overflowed. inputOverflow bool // Set if an operation with the input overflowed. } // next provides a new sample to the controller. // // input is the sample, setpoint is the desired point, and period is how much // time (in whatever unit makes the most sense) has passed since the last sample. // // Returns a new value for the variable it's controlling, and whether the operation // completed successfully. One reason this might fail is if error has been growing // in an unbounded manner, to the point of overflow. // // In the specific case of an error overflow occurs, the errOverflow field will be // set and the rest of the controller's internal state will be fully reset. func (c *piController) next(input, setpoint, period float64) (float64, bool) { // Compute the raw output value. prop := c.kp * (setpoint - input) rawOutput := prop + c.errIntegral // Clamp rawOutput into output. output := rawOutput if isInf(output) || isNaN(output) { // The input had a large enough magnitude that either it was already // overflowed, or some operation with it overflowed. // Set a flag and reset. That's the safest thing to do. c.reset() c.inputOverflow = true return c.min, false } if output < c.min { output = c.min } else if output > c.max { output = c.max } // Update the controller's state. if c.ti != 0 && c.tt != 0 { c.errIntegral += (c.kp*period/c.ti)*(setpoint-input) + (period/c.tt)*(output-rawOutput) if isInf(c.errIntegral) || isNaN(c.errIntegral) { // So much error has accumulated that we managed to overflow. // The assumptions around the controller have likely broken down. // Set a flag and reset. That's the safest thing to do. c.reset() c.errOverflow = true return c.min, false } } return output, true } // reset resets the controller state, except for controller error flags. func (c *piController) reset() { c.errIntegral = 0 } // addIdleMarkWorker attempts to add a new idle mark worker. // // If this returns true, the caller must become an idle mark worker unless // there's no background mark worker goroutines in the pool. This case is // harmless because there are already background mark workers running. // If this returns false, the caller must NOT become an idle mark worker. // // nosplit because it may be called without a P. //go:nosplit func (c *gcControllerState) addIdleMarkWorker() bool { for { old := c.idleMarkWorkers.Load() n, max := int32(old&uint64(^uint32(0))), int32(old>>32) if n >= max { // See the comment on idleMarkWorkers for why // n > max is tolerated. return false } if n < 0 { print("n=", n, " max=", max, "\n") throw("negative idle mark workers") } new := uint64(uint32(n+1)) | (uint64(max) << 32) if c.idleMarkWorkers.CompareAndSwap(old, new) { return true } } } // needIdleMarkWorker is a hint as to whether another idle mark worker is needed. // // The caller must still call addIdleMarkWorker to become one. This is mainly // useful for a quick check before an expensive operation. // // nosplit because it may be called without a P. //go:nosplit func (c *gcControllerState) needIdleMarkWorker() bool { p := c.idleMarkWorkers.Load() n, max := int32(p&uint64(^uint32(0))), int32(p>>32) return n < max } // removeIdleMarkWorker must be called when an new idle mark worker stops executing. func (c *gcControllerState) removeIdleMarkWorker() { for { old := c.idleMarkWorkers.Load() n, max := int32(old&uint64(^uint32(0))), int32(old>>32) if n-1 < 0 { print("n=", n, " max=", max, "\n") throw("negative idle mark workers") } new := uint64(uint32(n-1)) | (uint64(max) << 32) if c.idleMarkWorkers.CompareAndSwap(old, new) { return } } } // setMaxIdleMarkWorkers sets the maximum number of idle mark workers allowed. // // This method is optimistic in that it does not wait for the number of // idle mark workers to reduce to max before returning; it assumes the workers // will deschedule themselves. func (c *gcControllerState) setMaxIdleMarkWorkers(max int32) { for { old := c.idleMarkWorkers.Load() n := int32(old & uint64(^uint32(0))) if n < 0 { print("n=", n, " max=", max, "\n") throw("negative idle mark workers") } new := uint64(uint32(n)) | (uint64(max) << 32) if c.idleMarkWorkers.CompareAndSwap(old, new) { return } } }