blender/intern/cycles/util/util_task.h
Jeroen Bakker 2f6257fd7f Cycles/OpenCL: Compile Kernels During Scene Update
The main goals of this change is faster starting when using foreground
rendering.

This patch will build kernels in parallel to the update process of
the scene. When these optimized kernels are not available (yet) an AO
kernel will be used.

These AO kernels are fast to compile (3-7 seconds) and can be
reused by all scenes. When the final kernels become available we
will switch to these kernels.

In background mode the AO kernels will not be used.
Some kernels are being used during Scene update (displace, background
light). When these kernels are being used the process can halt until
these become available.

Reviewed By: brecht, #cycles

Maniphest Tasks: T61752

Differential Revision: https://developer.blender.org/D4428
2019-03-15 16:18:21 +01:00

211 lines
4.9 KiB
C++

/*
* Copyright 2011-2013 Blender Foundation
*
* Licensed under the Apache License, Version 2.0 (the "License");
* you may not use this file except in compliance with the License.
* You may obtain a copy of the License at
*
* http://www.apache.org/licenses/LICENSE-2.0
*
* Unless required by applicable law or agreed to in writing, software
* distributed under the License is distributed on an "AS IS" BASIS,
* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
* See the License for the specific language governing permissions and
* limitations under the License.
*/
#ifndef __UTIL_TASK_H__
#define __UTIL_TASK_H__
#include "util/util_list.h"
#include "util/util_string.h"
#include "util/util_thread.h"
#include "util/util_vector.h"
CCL_NAMESPACE_BEGIN
class Task;
class TaskPool;
class TaskScheduler;
/* Notes on Thread ID
*
* Thread ID argument reports the 0-based ID of a working thread from which
* the run() callback is being invoked. Thread ID of 0 denotes the thread from
* which wait_work() was called.
*
* DO NOT use this ID to control execution flaw, use it only for things like
* emulating TLS which does not affect on scheduling. Don't use this ID to make
* any decisions.
*
* It is to be noted here that dedicated task pool will always report thread ID
* of 0.
*/
typedef function<void(int thread_id)> TaskRunFunction;
/* Task
*
* Base class for tasks to be executed in threads. */
class Task
{
public:
Task() {};
explicit Task(const TaskRunFunction& run_) : run(run_) {}
virtual ~Task() {}
TaskRunFunction run;
};
/* Task Pool
*
* Pool of tasks that will be executed by the central TaskScheduler.For each
* pool, we can wait for all tasks to be done, or cancel them before they are
* done.
*
* The run callback that actually executes the task may be created like this:
* function_bind(&MyClass::task_execute, this, _1, _2) */
class TaskPool
{
public:
struct Summary {
/* Time spent to handle all tasks. */
double time_total;
/* Number of all tasks handled by this pool. */
int num_tasks_handled;
/* A full multiline description of the state of the pool after
* all work is done.
*/
string full_report() const;
};
TaskPool();
~TaskPool();
void push(Task *task, bool front = false);
void push(const TaskRunFunction& run, bool front = false);
void wait_work(Summary *stats = NULL); /* work and wait until all tasks are done */
void cancel(); /* cancel all tasks, keep worker threads running */
void stop(); /* stop all worker threads */
bool finished(); /* check if all work has been completed */
bool canceled(); /* for worker threads, test if canceled */
protected:
friend class TaskScheduler;
void num_decrease(int done);
void num_increase();
thread_mutex num_mutex;
thread_condition_variable num_cond;
int num;
bool do_cancel;
/* ** Statistics ** */
/* Time time stamp of first task pushed. */
double start_time;
/* Number of all tasks handled by this pool. */
int num_tasks_handled;
};
/* Task Scheduler
*
* Central scheduler that holds running threads ready to execute tasks. A singe
* queue holds the task from all pools. */
class TaskScheduler
{
public:
static void init(int num_threads = 0);
static void exit();
static void free_memory();
/* number of threads that can work on task */
static int num_threads() { return threads.size(); }
/* test if any session is using the scheduler */
static bool active() { return users != 0; }
protected:
friend class TaskPool;
struct Entry {
Task *task;
TaskPool *pool;
};
static thread_mutex mutex;
static int users;
static vector<thread*> threads;
static bool do_exit;
static list<Entry> queue;
static thread_mutex queue_mutex;
static thread_condition_variable queue_cond;
static void thread_run(int thread_id);
static bool thread_wait_pop(Entry& entry);
static void push(Entry& entry, bool front);
static void clear(TaskPool *pool);
};
/* Dedicated Task Pool
*
* Like a TaskPool, but will launch one dedicated thread to execute all tasks.
*
* The run callback that actually executes the task may be created like this:
* function_bind(&MyClass::task_execute, this, _1, _2) */
class DedicatedTaskPool
{
public:
DedicatedTaskPool();
~DedicatedTaskPool();
void push(Task *task, bool front = false);
void push(const TaskRunFunction& run, bool front = false);
void wait(); /* wait until all tasks are done */
void cancel(); /* cancel all tasks, keep worker thread running */
void stop(); /* stop worker thread */
bool canceled(); /* for worker thread, test if canceled */
protected:
void num_decrease(int done);
void num_increase();
void thread_run();
bool thread_wait_pop(Task*& entry);
void clear();
thread_mutex num_mutex;
thread_condition_variable num_cond;
list<Task*> queue;
thread_mutex queue_mutex;
thread_condition_variable queue_cond;
int num;
bool do_cancel;
bool do_exit;
thread *worker_thread;
};
CCL_NAMESPACE_END
#endif