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https://github.com/odin-lang/Odin.git
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218 lines
5.8 KiB
Odin
218 lines
5.8 KiB
Odin
package thread
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/*
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thread.Pool
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Copyright 2022 eisbehr
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Made available under Odin's BSD-3 license.
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*/
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import "core:intrinsics"
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import "core:sync"
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import "core:mem"
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Task_Proc :: #type proc(task: Task)
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Task :: struct {
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procedure: Task_Proc,
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data: rawptr,
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user_index: int,
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allocator: mem.Allocator,
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}
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// Do not access the pool's members directly while the pool threads are running,
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// since they use different kinds of locking and mutual exclusion devices.
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// Careless access can and will lead to nasty bugs. Once initialized, the
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// pool's memory address is not allowed to change until it is destroyed.
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Pool :: struct {
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allocator: mem.Allocator,
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mutex: sync.Mutex,
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sem_available: sync.Sema,
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// the following values are atomic
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num_waiting: int,
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num_in_processing: int,
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num_outstanding: int, // num_waiting + num_in_processing
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num_done: int,
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// end of atomics
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is_running: bool,
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threads: []^Thread,
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tasks: [dynamic]Task,
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tasks_done: [dynamic]Task,
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}
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// Once initialized, the pool's memory address is not allowed to change until
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// it is destroyed.
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//
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// The thread pool requires an allocator which it either owns, or which is thread safe.
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pool_init :: proc(pool: ^Pool, allocator: mem.Allocator, thread_count: int) {
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context.allocator = allocator
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pool.allocator = allocator
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pool.tasks = make([dynamic]Task)
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pool.tasks_done = make([dynamic]Task)
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pool.threads = make([]^Thread, max(thread_count, 1))
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pool.is_running = true
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for _, i in pool.threads {
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t := create(proc(t: ^Thread) {
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pool := (^Pool)(t.data)
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for intrinsics.atomic_load(&pool.is_running) {
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sync.wait(&pool.sem_available)
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if task, ok := pool_pop_waiting(pool); ok {
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pool_do_work(pool, task)
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}
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}
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sync.post(&pool.sem_available, 1)
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})
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t.user_index = i
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t.data = pool
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pool.threads[i] = t
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}
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}
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pool_destroy :: proc(pool: ^Pool) {
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delete(pool.tasks)
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delete(pool.tasks_done)
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for t in &pool.threads {
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destroy(t)
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}
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delete(pool.threads, pool.allocator)
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}
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pool_start :: proc(pool: ^Pool) {
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for t in pool.threads {
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start(t)
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}
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}
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// Finish tasks that have already started processing, then shut down all pool
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// threads. Might leave over waiting tasks, any memory allocated for the
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// user data of those tasks will not be freed.
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pool_join :: proc(pool: ^Pool) {
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intrinsics.atomic_store(&pool.is_running, false)
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sync.post(&pool.sem_available, len(pool.threads))
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yield()
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for t in pool.threads {
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join(t)
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}
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}
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// Add a task to the thread pool.
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//
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// Tasks can be added from any thread, not just the thread that created
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// the thread pool. You can even add tasks from inside other tasks.
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//
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// Each task also needs an allocator which it either owns, or which is thread
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// safe.
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pool_add_task :: proc(pool: ^Pool, allocator: mem.Allocator, procedure: Task_Proc, data: rawptr, user_index: int = 0) {
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sync.guard(&pool.mutex)
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append(&pool.tasks, Task{
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procedure = procedure,
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data = data,
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user_index = user_index,
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allocator = allocator,
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})
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intrinsics.atomic_add(&pool.num_waiting, 1)
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intrinsics.atomic_add(&pool.num_outstanding, 1)
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sync.post(&pool.sem_available, 1)
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}
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// Number of tasks waiting to be processed. Only informational, mostly for
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// debugging. Don't rely on this value being consistent with other num_*
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// values.
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pool_num_waiting :: #force_inline proc(pool: ^Pool) -> int {
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return intrinsics.atomic_load(&pool.num_waiting)
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}
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// Number of tasks currently being processed. Only informational, mostly for
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// debugging. Don't rely on this value being consistent with other num_*
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// values.
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pool_num_in_processing :: #force_inline proc(pool: ^Pool) -> int {
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return intrinsics.atomic_load(&pool.num_in_processing)
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}
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// Outstanding tasks are all tasks that are not done, that is, tasks that are
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// waiting, as well as tasks that are currently being processed. Only
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// informational, mostly for debugging. Don't rely on this value being
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// consistent with other num_* values.
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pool_num_outstanding :: #force_inline proc(pool: ^Pool) -> int {
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return intrinsics.atomic_load(&pool.num_outstanding)
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}
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// Number of tasks which are done processing. Only informational, mostly for
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// debugging. Don't rely on this value being consistent with other num_*
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// values.
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pool_num_done :: #force_inline proc(pool: ^Pool) -> int {
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return intrinsics.atomic_load(&pool.num_done)
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}
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// If tasks are only being added from one thread, and this procedure is being
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// called from that same thread, it will reliably tell if the thread pool is
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// empty or not. Empty in this case means there are no tasks waiting, being
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// processed, or _done_.
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pool_is_empty :: #force_inline proc(pool: ^Pool) -> bool {
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return pool_num_outstanding(pool) == 0 && pool_num_done(pool) == 0
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}
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// Mostly for internal use.
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pool_pop_waiting :: proc(pool: ^Pool) -> (task: Task, got_task: bool) {
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sync.guard(&pool.mutex)
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if len(pool.tasks) != 0 {
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intrinsics.atomic_sub(&pool.num_waiting, 1)
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intrinsics.atomic_add(&pool.num_in_processing, 1)
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task = pop_front(&pool.tasks)
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got_task = true
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}
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return
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}
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// Use this to take out finished tasks.
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pool_pop_done :: proc(pool: ^Pool) -> (task: Task, got_task: bool) {
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sync.guard(&pool.mutex)
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if len(pool.tasks_done) != 0 {
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task = pop_front(&pool.tasks_done)
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got_task = true
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intrinsics.atomic_sub(&pool.num_done, 1)
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}
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return
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}
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// Mostly for internal use.
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pool_do_work :: proc(pool: ^Pool, task: Task) {
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{
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context.allocator = task.allocator
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task.procedure(task)
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}
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sync.guard(&pool.mutex)
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append(&pool.tasks_done, task)
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intrinsics.atomic_add(&pool.num_done, 1)
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intrinsics.atomic_sub(&pool.num_outstanding, 1)
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intrinsics.atomic_sub(&pool.num_in_processing, 1)
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}
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// Process the rest of the tasks, also use this thread for processing, then join
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// all the pool threads.
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pool_finish :: proc(pool: ^Pool) {
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for task in pool_pop_waiting(pool) {
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pool_do_work(pool, task)
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}
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pool_join(pool)
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}
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