The wait predicate was `stopped_ || total_ > 0`, and total_ counts queued *plus executing*. So while any one task ran, every other worker's predicate was true: wait() returned immediately and the worker spun through try_pop, try_steal and back to wait at full speed, try_lock-ing every peer queue on each pass. Measured on this tree, 8 workers and one 300 ms task: 1991 ms of CPU and 19205 voluntary context switches, against 0.4 ms and 10 with the fix. Call it six and a half cores burned for the duration of one sleeping task. Sleeping requires "no work is *waiting*", which total_ cannot express, so queued_ is now tracked separately: incremented on submit, decremented when a task leaves a queue, and adjusted for the tasks stop() discards. total_ stays as it was for drain(), which genuinely does need to know about executing work. The worker exit condition moves to queued_ for the same reason — waiting for total_ to reach zero meant waiting for someone else's task to finish, which a worker cannot help with and would spin through until it did. PoolSnapshot's queue depth stops being an estimate as a side effect. Latent for this pipeline, where each node owns a private single-thread pool and there is no idle peer to spin. Any use of a shared pool, which make_pool_node exists for, hits it immediately. Reproducing it needs the right trigger, and the test says so, because my first attempt got it wrong and passed against the bug: a worker that has never been woken stays blocked in wait() and never re-evaluates the predicate. The spin only appears once a worker *finishes* something and re-enters the loop while a peer is still busy, so the case submits one long task plus a trivial one per remaining worker. Submitting only the long task measures nothing. Verified in both directions: 1969 ms of CPU before, 0.35 ms after, against a 300 ms threshold. Full suite 142/142.
267 lines
12 KiB
C++
267 lines
12 KiB
C++
#pragma once
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#include "diagnostics.hpp"
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#include <atomic>
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#include <condition_variable>
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#include <functional>
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#include <memory>
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#include <mutex>
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#include <shared_mutex>
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#include <optional>
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#include <queue>
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#include <thread>
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#include <vector>
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namespace kpn {
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// ── IScheduler ────────────────────────────────────────────────────────────────
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struct IScheduler {
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virtual ~IScheduler() = default;
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// Submit a task with an optional priority in [0, 1]. Higher = run sooner.
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virtual void submit(std::function<void()> task, float priority = 0.5f) = 0;
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// Start worker threads. Must be called before submit().
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virtual void start() = 0;
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// Halt: signal workers to exit and join them. Pending tasks are discarded.
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virtual void stop() = 0;
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// Drain: block until all in-flight tasks complete. Workers keep running.
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virtual void drain() = 0;
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};
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// ── ThreadPool ────────────────────────────────────────────────────────────────
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//
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// Work-stealing thread pool with per-thread priority queues.
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//
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// Each worker owns a priority_queue (max-heap by priority, FIFO within equal
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// priority via sequence number). submit() distributes via round-robin. When a
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// worker's queue is empty it tries to steal from the most-loaded peer using
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// try_lock to avoid blocking; if no work is found it sleeps on a shared CV.
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//
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// total_ counts tasks submitted-but-not-completed (queued + executing).
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// drain() waits until total_ == 0.
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class ThreadPool : public IScheduler, public IPoolProbe {
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public:
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explicit ThreadPool(std::size_t thread_count) : thread_count_(thread_count) {}
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~ThreadPool() {
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if (!stopped_.load(std::memory_order_relaxed))
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stop();
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}
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void start() override {
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stopped_.store(false, std::memory_order_relaxed);
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queues_.clear();
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for (std::size_t i = 0; i < thread_count_; ++i)
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queues_.push_back(std::make_unique<WorkerQueue>());
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workers_.reserve(thread_count_);
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for (std::size_t i = 0; i < thread_count_; ++i)
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workers_.emplace_back([this, i] { worker_loop(i); });
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}
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void stop() override {
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// Close the pool to new work before touching anything, and do it under
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// the lifecycle lock so no submit() is midway through indexing queues_.
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{
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std::unique_lock lk(lifecycle_mx_);
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stopped_.store(true, std::memory_order_seq_cst);
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}
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for (auto& q : queues_) {
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std::lock_guard lock(q->mx);
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std::size_t discarded = q->pq.size();
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while (!q->pq.empty()) q->pq.pop();
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total_.fetch_sub(discarded, std::memory_order_relaxed);
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queued_.fetch_sub(discarded, std::memory_order_relaxed);
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}
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// Lock cv_mx_ before notifying so the stop signal can't be lost in the
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// gap between a worker's predicate check and its wait() (see submit()).
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{ std::lock_guard<std::mutex> lk(cv_mx_); }
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cv_.notify_all();
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// Join without the lock: a worker's task may call submit(), which takes
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// it shared, and holding it here would deadlock against that.
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for (auto& t : workers_) if (t.joinable()) t.join();
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// Destroying the queues is what submit() must never race. By now
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// stopped_ is published, so any submit() that acquires the lock after
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// this point returns without touching them.
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std::unique_lock lk(lifecycle_mx_);
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workers_.clear();
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queues_.clear();
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}
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void drain() override {
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std::unique_lock lock(drain_mx_);
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drain_cv_.wait(lock, [this] {
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return total_.load(std::memory_order_acquire) == 0;
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});
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}
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void submit(std::function<void()> task, float priority = 0.5f) override {
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// A submission can arrive after this pool has been stopped, and did so
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// by an ordinary route: a node's space callback fires from whichever
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// thread drained the channel, which belongs to the *consumer*. Stop the
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// producer first — as a sources-first shutdown does — and the consumer
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// keeps draining its backlog, firing the producer's space callback into
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// a pool whose stop() has already run queues_.clear(). submit() then
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// indexed an empty vector: a segfault, reproducible about 12 runs in 20.
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//
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// The shared lock is what makes the check meaningful. Reading stopped_
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// alone leaves the window between the read and the indexing, which is
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// precisely where stop() clears the vector.
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std::shared_lock lk(lifecycle_mx_);
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if (stopped_.load(std::memory_order_acquire) || queues_.empty()) {
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rejected_.fetch_add(1, std::memory_order_relaxed);
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return;
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}
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std::size_t target = next_.fetch_add(1, std::memory_order_relaxed) % thread_count_;
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{
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std::lock_guard lock(queues_[target]->mx);
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queues_[target]->pq.push(
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{std::move(task), priority, seq_.fetch_add(1, std::memory_order_relaxed)});
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}
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total_.fetch_add(1, std::memory_order_relaxed);
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queued_.fetch_add(1, std::memory_order_relaxed);
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submitted_.fetch_add(1, std::memory_order_relaxed);
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// Synchronize with worker_loop's predicate evaluation: taking cv_mx_
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// here guarantees a worker is either before its predicate check (and
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// will observe total_ > 0) or already blocked in wait() (and will be
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// woken). Without this, notify_one() can slip into the gap between the
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// worker's predicate check and its wait(), and be lost — a deadlock.
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{ std::lock_guard<std::mutex> lk(cv_mx_); }
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cv_.notify_one();
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}
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std::size_t thread_count() const { return thread_count_; }
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/// Submissions dropped because the pool was stopped. See rejected_.
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uint64_t rejected() const { return rejected_.load(std::memory_order_relaxed); }
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// ── IPoolProbe ────────────────────────────────────────────────────────────
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PoolSnapshot snapshot(const std::string& name) const override {
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std::size_t a = active_.load(std::memory_order_relaxed);
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return {
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name, thread_count_,
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queued_.load(std::memory_order_relaxed), // queued (exact)
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a, // executing
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submitted_.load(std::memory_order_relaxed),
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completed_.load(std::memory_order_relaxed),
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};
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}
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private:
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struct Task {
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std::function<void()> fn;
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float priority;
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uint64_t seq;
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// max-heap: higher priority runs first; older task wins tie
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bool operator<(const Task& o) const {
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if (priority != o.priority) return priority < o.priority;
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return seq > o.seq;
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}
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};
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// Separate cache lines to prevent false sharing between adjacent queues.
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struct alignas(64) WorkerQueue {
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std::priority_queue<Task> pq;
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std::mutex mx;
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};
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std::optional<std::function<void()>> try_pop(WorkerQueue& q) {
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std::lock_guard lock(q.mx);
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if (q.pq.empty()) return std::nullopt;
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auto fn = std::move(const_cast<Task&>(q.pq.top()).fn);
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q.pq.pop();
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queued_.fetch_sub(1, std::memory_order_relaxed);
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return fn;
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}
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std::optional<std::function<void()>> try_steal(std::size_t thief) {
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// Find the most-loaded peer without blocking — racy peek is fine.
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std::size_t victim = thief, best = 0;
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for (std::size_t i = 0; i < queues_.size(); ++i) {
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if (i == thief) continue;
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std::unique_lock lk(queues_[i]->mx, std::try_to_lock);
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if (!lk) continue;
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std::size_t n = queues_[i]->pq.size();
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if (n > best) { best = n; victim = i; }
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}
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if (victim == thief) return std::nullopt;
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return try_pop(*queues_[victim]);
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}
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void execute(std::function<void()>& fn) {
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active_.fetch_add(1, std::memory_order_relaxed);
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fn();
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completed_.fetch_add(1, std::memory_order_relaxed);
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active_.fetch_sub(1, std::memory_order_relaxed);
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// Notify drain() if this was the last in-flight task.
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// acq_rel ensures the decrement is visible before any drain() load.
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// Lock drain_mx_ before notifying to avoid a lost wakeup against
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// drain()'s predicate check (same hazard as submit()/cv_mx_).
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if (total_.fetch_sub(1, std::memory_order_acq_rel) == 1) {
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{ std::lock_guard<std::mutex> lk(drain_mx_); }
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drain_cv_.notify_all();
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}
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}
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void worker_loop(std::size_t id) {
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while (true) {
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if (auto fn = try_pop(*queues_[id])) { execute(*fn); continue; }
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if (auto fn = try_steal(id)) { execute(*fn); continue; }
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std::unique_lock lock(cv_mx_);
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cv_.wait(lock, [this] {
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return stopped_.load(std::memory_order_seq_cst)
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|| queued_.load(std::memory_order_relaxed) > 0;
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});
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// Exit on queued_, not total_: waiting for total_ to reach zero
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// meant waiting for someone else's task to finish, which this
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// worker cannot help with and would spin through until it did.
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if (stopped_.load(std::memory_order_seq_cst)
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&& queued_.load(std::memory_order_relaxed) == 0)
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return;
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}
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}
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const std::size_t thread_count_;
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std::vector<std::unique_ptr<WorkerQueue>> queues_;
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std::vector<std::thread> workers_;
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/// Guards the lifetime of queues_/workers_ against a concurrent submit().
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/// Shared by submit, exclusive by stop, so submissions still run in
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/// parallel with each other.
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mutable std::shared_mutex lifecycle_mx_;
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std::mutex cv_mx_;
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std::condition_variable cv_;
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std::mutex drain_mx_;
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std::condition_variable drain_cv_;
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std::atomic<bool> stopped_{true};
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std::atomic<size_t> total_{0}; // queued + executing (drain() waits on this)
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/// Queued only — never counts a task that is already executing.
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///
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/// The wait predicate used total_, which includes running tasks, so while
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/// any one task ran every *other* worker's predicate was true: wait()
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/// returned instantly and the worker spun through try_pop / try_steal /
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/// wait at full speed, try_lock-ing every peer queue on each pass. One slow
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/// task therefore pinned every other core and contended the very mutexes
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/// the working thread needed. Sleeping requires "no work is *waiting*",
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/// which is this.
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std::atomic<size_t> queued_{0}; // waiting to run
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std::atomic<size_t> active_{0}; // executing only (for snapshot)
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std::atomic<size_t> next_{0}; // round-robin submit cursor
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std::atomic<uint64_t> seq_{0}; // tie-break for equal-priority tasks
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std::atomic<uint64_t> submitted_{0};
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/// Submissions refused because the pool was already stopped. Not an error —
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/// teardown races are expected — but silence here would hide a node that
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/// keeps trying to run after its pool is gone.
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std::atomic<uint64_t> rejected_{0};
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std::atomic<uint64_t> completed_{0};
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};
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} // namespace kpn
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