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// This file is part of Eigen, a lightweight C++ template library
// for linear algebra.
//
// Copyright (C) 2016 Dmitry Vyukov <dvyukov@google.com>
//
// 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/.
#ifndef EIGEN_CXX11_TENSOR_TENSOR_RUNQUEUE_H_
#define EIGEN_CXX11_TENSOR_TENSOR_RUNQUEUE_H_
#include <atomic>
#include <vector>
using ::std::vector;
#include "Eigen/src/Core/util/Macros.h"
namespace Eigen {
// RunQueue is a fixed-size, partially non-blocking deque or Work items.
// Operations on front of the queue must be done by a single thread (owner),
// operations on back of the queue can be done by multiple threads concurrently.
//
// Algorithm outline:
// All remote threads operating on the queue back are serialized by a mutex.
// This ensures that at most two threads access state: owner and one remote
// thread (Size aside). The algorithm ensures that the occupied region of the
// underlying array is logically continuous (can wraparound, but no stray
// occupied elements). Owner operates on one end of this region, remote thread
// operates on the other end. Synchronization between these threads
// (potential consumption of the last element and take up of the last empty
// element) happens by means of state variable in each element. States are:
// empty, busy (in process of insertion of removal) and ready. Threads claim
// elements (empty->busy and ready->busy transitions) by means of a CAS
// operation. The finishing transition (busy->empty and busy->ready) are done
// with plain store as the element is exclusively owned by the current thread.
//
// Note: we could permit only pointers as elements, then we would not need
// separate state variable as null/non-null pointer value would serve as state,
// but that would require malloc/free per operation for large, complex values
// (and this is designed to store std::function<()>).
template <typename Work, unsigned kSize>
class RunQueue {
public:
RunQueue() : front_(0), back_(0) {
// require power-of-two for fast masking
eigen_assert((kSize & (kSize - 1)) == 0);
eigen_assert(kSize > 2); // why would you do this?
eigen_assert(kSize <= (64 << 10)); // leave enough space for counter
for (unsigned i = 0; i < kSize; i++)
array_[i].state.store(kEmpty, std::memory_order_relaxed);
}
~RunQueue() { eigen_assert(Size() == 0); }
// PushFront inserts w at the beginning of the queue.
// If queue is full returns w, otherwise returns default-constructed Work.
Work PushFront(Work w) {
unsigned front = front_.load(std::memory_order_relaxed);
Elem* e = &array_[front & kMask];
uint8_t s = e->state.load(std::memory_order_relaxed);
if (s != kEmpty ||
!e->state.compare_exchange_strong(s, kBusy, std::memory_order_acquire))
return w;
front_.store(front + 1 + (kSize << 1), std::memory_order_relaxed);
e->w = std::move(w);
e->state.store(kReady, std::memory_order_release);
return Work();
}
// PopFront removes and returns the first element in the queue.
// If the queue was empty returns default-constructed Work.
Work PopFront() {
unsigned front = front_.load(std::memory_order_relaxed);
Elem* e = &array_[(front - 1) & kMask];
uint8_t s = e->state.load(std::memory_order_relaxed);
if (s != kReady ||
!e->state.compare_exchange_strong(s, kBusy, std::memory_order_acquire))
return Work();
Work w = std::move(e->w);
e->state.store(kEmpty, std::memory_order_release);
front = ((front - 1) & kMask2) | (front & ~kMask2);
front_.store(front, std::memory_order_relaxed);
return w;
}
// PushBack adds w at the end of the queue.
// If queue is full returns w, otherwise returns default-constructed Work.
Work PushBack(Work w) {
mutex_lock lock(mutex_);
unsigned back = back_.load(std::memory_order_relaxed);
Elem* e = &array_[(back - 1) & kMask];
uint8_t s = e->state.load(std::memory_order_relaxed);
if (s != kEmpty ||
!e->state.compare_exchange_strong(s, kBusy, std::memory_order_acquire))
return w;
back = ((back - 1) & kMask2) | (back & ~kMask2);
back_.store(back, std::memory_order_relaxed);
e->w = std::move(w);
e->state.store(kReady, std::memory_order_release);
return Work();
}
// PopBack removes and returns the last elements in the queue.
// Can fail spuriously.
Work PopBack() {
if (Empty()) return Work();
mutex_lock lock(mutex_, std::try_to_lock);
if (!lock) return Work();
unsigned back = back_.load(std::memory_order_relaxed);
Elem* e = &array_[back & kMask];
uint8_t s = e->state.load(std::memory_order_relaxed);
if (s != kReady ||
!e->state.compare_exchange_strong(s, kBusy, std::memory_order_acquire))
return Work();
Work w = std::move(e->w);
e->state.store(kEmpty, std::memory_order_release);
back_.store(back + 1 + (kSize << 1), std::memory_order_relaxed);
return w;
}
// PopBackHalf removes and returns half last elements in the queue.
// Returns number of elements removed. But can also fail spuriously.
unsigned PopBackHalf(std::vector<Work>* result) {
if (Empty()) return 0;
mutex_lock lock(mutex_, std::try_to_lock);
if (!lock) return 0;
unsigned back = back_.load(std::memory_order_relaxed);
unsigned size = Size();
unsigned mid = back;
if (size > 1) mid = back + (size - 1) / 2;
unsigned n = 0;
unsigned start = 0;
for (; static_cast<int>(mid - back) >= 0; mid--) {
Elem* e = &array_[mid & kMask];
uint8_t s = e->state.load(std::memory_order_relaxed);
if (n == 0) {
if (s != kReady ||
!e->state.compare_exchange_strong(s, kBusy,
std::memory_order_acquire))
continue;
start = mid;
} else {
// Note: no need to store temporal kBusy, we exclusively own these
// elements.
eigen_assert(s == kReady);
}
result->push_back(std::move(e->w));
e->state.store(kEmpty, std::memory_order_release);
n++;
}
if (n != 0)
back_.store(start + 1 + (kSize << 1), std::memory_order_relaxed);
return n;
}
// Size returns current queue size.
// Can be called by any thread at any time.
unsigned Size() const {
// Emptiness plays critical role in thread pool blocking. So we go to great
// effort to not produce false positives (claim non-empty queue as empty).
for (;;) {
// Capture a consistent snapshot of front/tail.
unsigned front = front_.load(std::memory_order_acquire);
unsigned back = back_.load(std::memory_order_acquire);
unsigned front1 = front_.load(std::memory_order_relaxed);
if (front != front1) continue;
int size = (front & kMask2) - (back & kMask2);
// Fix overflow.
if (size < 0) size += 2 * kSize;
// Order of modification in push/pop is crafted to make the queue look
// larger than it is during concurrent modifications. E.g. pop can
// decrement size before the corresponding push has incremented it.
// So the computed size can be up to kSize + 1, fix it.
if (size > kSize) size = kSize;
return size;
}
}
// Empty tests whether container is empty.
// Can be called by any thread at any time.
bool Empty() const { return Size() == 0; }
private:
static const unsigned kMask = kSize - 1;
static const unsigned kMask2 = (kSize << 1) - 1;
struct Elem {
std::atomic<uint8_t> state;
Work w;
};
enum {
kEmpty,
kBusy,
kReady,
};
mutex mutex_;
// Low log(kSize) + 1 bits in front_ and back_ contain rolling index of
// front/back, repsectively. The remaining bits contain modification counters
// that are incremented on Push operations. This allows us to (1) distinguish
// between empty and full conditions (if we would use log(kSize) bits for
// position, these conditions would be indistinguishable); (2) obtain
// consistent snapshot of front_/back_ for Size operation using the
// modification counters.
std::atomic<unsigned> front_;
std::atomic<unsigned> back_;
Elem array_[kSize];
RunQueue(const RunQueue&) = delete;
void operator=(const RunQueue&) = delete;
};
} // namespace Eigen
#endif // EIGEN_CXX11_TENSOR_TENSOR_RUNQUEUE_H_