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Threaded array processor with work stealing.
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fire committed Feb 23, 2020
1 parent 63b0d82 commit 534ef47
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64 changes: 32 additions & 32 deletions core/os/threaded_array_processor.h
Original file line number Diff line number Diff line change
Expand Up @@ -36,31 +36,44 @@
#include "core/os/thread.h"
#include "core/os/thread_safe.h"
#include "core/safe_refcount.h"
#include "thirdparty/misc/wsq.hpp"

template <class C, class U>
struct ThreadArrayProcessData {
uint32_t elements;
uint32_t index;
C *instance;
C *instance = nullptr;
U userdata;
void (C::*method)(uint32_t, U);
void (C::*method)(uint32_t, U) = nullptr;
tf::WorkStealingQueue<uint32_t> *queue = nullptr;

void process(uint32_t p_index) {
(instance->*method)(p_index, userdata);
}
};

#ifndef NO_THREADS

template <class T>
void process_array_thread(void *ud) {

T &data = *(T *)ud;
while (true) {
uint32_t index = atomic_increment(&data.index);
if (index >= data.elements)
break;
data.process(index);
while (!data.queue->empty()) {
std::optional<uint32_t> work = data.queue->steal();
if (work.has_value()) {
data.process(work.value());
}
}
}

template <class C, class M, class U>
void process_array_single(C *p_instance, M p_method, U p_userdata) {

ThreadArrayProcessData<C, U> data;
data.method = p_method;
data.instance = p_instance;
data.userdata = p_userdata;
while (!data.queue->empty()) {
std::optional<uint32_t> work = data.queue->steal();
if (work.has_value()) {
data.process(work.value());
}
}
}

Expand All @@ -71,12 +84,14 @@ void thread_process_array(uint32_t p_elements, C *p_instance, M p_method, U p_us
data.method = p_method;
data.instance = p_instance;
data.userdata = p_userdata;
data.index = 0;
data.elements = p_elements;
data.process(data.index); //process first, let threads increment for next
data.queue = memnew(tf::WorkStealingQueue<uint32_t>(next_power_of_2(p_elements)));

Vector<Thread *> threads;
for (uint32_t i = 0; i < p_elements; i++) {
data.queue->push(i);
}

#ifndef NO_THREADS
Vector<Thread *> threads;
threads.resize(OS::get_singleton()->get_processor_count());

for (int i = 0; i < threads.size(); i++) {
Expand All @@ -87,24 +102,9 @@ void thread_process_array(uint32_t p_elements, C *p_instance, M p_method, U p_us
Thread::wait_to_finish(threads[i]);
memdelete(threads[i]);
}
}

#else

template <class C, class M, class U>
void thread_process_array(uint32_t p_elements, C *p_instance, M p_method, U p_userdata) {

ThreadArrayProcessData<C, U> data;
data.method = p_method;
data.instance = p_instance;
data.userdata = p_userdata;
data.index = 0;
data.elements = p_elements;
for (uint32_t i = 0; i < p_elements; i++) {
data.process(i);
}
}

process_array_single(p_elements, p_instance, p_method, p_userdata);
#endif
}

#endif // THREADED_ARRAY_PROCESSOR_H
284 changes: 284 additions & 0 deletions thirdparty/misc/wsq.hpp
Original file line number Diff line number Diff line change
@@ -0,0 +1,284 @@
// MIT License

// Copyright (c) 2018-2019 T.-W. Huang, C.-X. Lin, G. Guo, and M. Wong

// University of Utah, Salt Lake City, UT, USA
// University of Illinois at Urbana-Champaign, IL, USA

// Permission is hereby granted, free of charge, to any person obtaining a copy
// of this software and associated documentation files (the "Software"), to deal
// in the Software without restriction, including without limitation the rights
// to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
// copies of the Software, and to permit persons to whom the Software is
// furnished to do so, subject to the following conditions:

// The above copyright notice and this permission notice shall be included in all
// copies or substantial portions of the Software.

// THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
// IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
// FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
// AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
// LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
// OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
// SOFTWARE.

// 2019/05/15 - created by Tsung-Wei Huang
// - isolated from the original workstealing executor

#pragma once

#include <atomic>
#include <optional>
#include <vector>

namespace tf {

/**
@class: WorkStealingQueue
@tparam T data type
@brief Lock-free unbounded single-producer multiple-consumer queue.
This class implements the work stealing queue described in the paper,
"Correct and Efficient Work-Stealing for Weak Memory Models,"
available at https://www.di.ens.fr/~zappa/readings/ppopp13.pdf.
Only the queue owner can perform pop and push operations,
while others can steal data from the queue.
*/
template <typename T>
class WorkStealingQueue {

//constexpr static int64_t cacheline_size = 64;

//using storage_type = std::aligned_storage_t<sizeof(T), cacheline_size>;

struct Array {

int64_t C;
int64_t M;
//storage_type* S;
std::atomic<T> *S;

//T* S;

explicit Array(int64_t c) :
C{ c },
M{ c - 1 },
//S {new storage_type[C]} {
//S {new T[static_cast<size_t>(C)]} {
S{ new std::atomic<T>[static_cast<size_t>(C)] } {
//for(int64_t i=0; i<C; ++i) {
// ::new (std::addressof(S[i])) T();
//}
}

~Array() {
//for(int64_t i=0; i<C; ++i) {
// reinterpret_cast<T*>(std::addressof(S[i]))->~T();
//}
delete[] S;
}

int64_t capacity() const noexcept {
return C;
}

template <typename O>
void push(int64_t i, O &&o) noexcept {
//T* ptr = reinterpret_cast<T*>(std::addressof(S[i & M]));
//*ptr = std::forward<O>(o);
//S[i & M] = std::forward<O>(o);
S[i & M].store(std::forward<O>(o), std::memory_order_relaxed);
}

T pop(int64_t i) noexcept {
//return *reinterpret_cast<T*>(std::addressof(S[i & M]));
//return S[i & M];
return S[i & M].load(std::memory_order_relaxed);
}

Array *resize(int64_t b, int64_t t) {
Array *ptr = new Array{ 2 * C };
for (int64_t i = t; i != b; ++i) {
ptr->push(i, pop(i));
}
return ptr;
}
};

std::atomic<int64_t> _top;
std::atomic<int64_t> _bottom;
std::atomic<Array *> _array;
std::vector<Array *> _garbage;
//char _padding[cacheline_size];

public:
/**
@brief constructs the queue with a given capacity
@param capacity the capacity of the queue (must be power of 2)
*/
explicit WorkStealingQueue(int64_t capacity = 1024);

/**
@brief destructs the queue
*/
~WorkStealingQueue();

/**
@brief queries if the queue is empty at the time of this call
*/
bool empty() const noexcept;

/**
@brief queries the number of items at the time of this call
*/
size_t size() const noexcept;

/**
@brief queries the capacity of the queue
*/
int64_t capacity() const noexcept;

/**
@brief inserts an item to the queue
Only the owner thread can insert an item to the queue.
The operation can trigger the queue to resize its capacity
if more space is required.
@tparam O data type
@param item the item to perfect-forward to the queue
*/
template <typename O>
void push(O &&item);

/**
@brief pops out an item from the queue
Only the owner thread can pop out an item from the queue.
The return can be a @std_nullopt if this operation failed (empty queue).
*/
std::optional<T> pop();

/**
@brief steals an item from the queue
Any threads can try to steal an item from the queue.
The return can be a @std_nullopt if this operation failed (not necessary empty).
*/
std::optional<T> steal();
};

// Constructor
template <typename T>
WorkStealingQueue<T>::WorkStealingQueue(int64_t c) {
//GODOT Patch START
if (!(c && (!(c & (c - 1))))) {
return;
}
//GODOT Patch END
_top.store(0, std::memory_order_relaxed);
_bottom.store(0, std::memory_order_relaxed);
_array.store(new Array{ c }, std::memory_order_relaxed);
_garbage.reserve(32);
}

// Destructor
template <typename T>
WorkStealingQueue<T>::~WorkStealingQueue() {
for (auto a : _garbage) {
delete a;
}
delete _array.load();
}

// Function: empty
template <typename T>
bool WorkStealingQueue<T>::empty() const noexcept {
int64_t b = _bottom.load(std::memory_order_relaxed);
int64_t t = _top.load(std::memory_order_relaxed);
return b <= t;
}

// Function: size
template <typename T>
size_t WorkStealingQueue<T>::size() const noexcept {
int64_t b = _bottom.load(std::memory_order_relaxed);
int64_t t = _top.load(std::memory_order_relaxed);
return static_cast<size_t>(b >= t ? b - t : 0);
}

// Function: push
template <typename T>
template <typename O>
void WorkStealingQueue<T>::push(O &&o) {
int64_t b = _bottom.load(std::memory_order_relaxed);
int64_t t = _top.load(std::memory_order_acquire);
Array *a = _array.load(std::memory_order_relaxed);

// queue is full
if (a->capacity() - 1 < (b - t)) {
Array *tmp = a->resize(b, t);
_garbage.push_back(a);
std::swap(a, tmp);
_array.store(a, std::memory_order_relaxed);
}

a->push(b, std::forward<O>(o));
std::atomic_thread_fence(std::memory_order_release);
_bottom.store(b + 1, std::memory_order_relaxed);
}

// Function: pop
template <typename T>
std::optional<T> WorkStealingQueue<T>::pop() {
int64_t b = _bottom.load(std::memory_order_relaxed) - 1;
Array *a = _array.load(std::memory_order_relaxed);
_bottom.store(b, std::memory_order_relaxed);
std::atomic_thread_fence(std::memory_order_seq_cst);
int64_t t = _top.load(std::memory_order_relaxed);

std::optional<T> item;

if (t <= b) {
item = a->pop(b);
if (t == b) {
// the last item just got stolen
if (!_top.compare_exchange_strong(t, t + 1,
std::memory_order_seq_cst,
std::memory_order_relaxed)) {
item = std::nullopt;
}
_bottom.store(b + 1, std::memory_order_relaxed);
}
} else {
_bottom.store(b + 1, std::memory_order_relaxed);
}

return item;
}

// Function: steal
template <typename T>
std::optional<T> WorkStealingQueue<T>::steal() {
int64_t t = _top.load(std::memory_order_acquire);
std::atomic_thread_fence(std::memory_order_seq_cst);
int64_t b = _bottom.load(std::memory_order_acquire);

std::optional<T> item;

if (t < b) {
Array *a = _array.load(std::memory_order_consume);
item = a->pop(t);
if (!_top.compare_exchange_strong(t, t + 1,
std::memory_order_seq_cst,
std::memory_order_relaxed)) {
return std::nullopt;
}
}

return item;
}

// Function: capacity
template <typename T>
int64_t WorkStealingQueue<T>::capacity() const noexcept {
return _array.load(std::memory_order_relaxed)->capacity();
}

} // namespace tf

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