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/* SPDX-License-Identifier: GPL-2.0-or-later */
/** \file
* \ingroup bli
*
* Task parallel range functions.
*/
#include <cstdlib>
#include "MEM_guardedalloc.h"
#include "DNA_listBase.h"
#include "BLI_task.h"
#include "BLI_threads.h"
#include "atomic_ops.h"
#ifdef WITH_TBB
# include <tbb/blocked_range.h>
# include <tbb/enumerable_thread_specific.h>
# include <tbb/parallel_for.h>
# include <tbb/parallel_reduce.h>
#endif
#ifdef WITH_TBB
/* Functor for running TBB parallel_for and parallel_reduce. */
struct RangeTask {
TaskParallelRangeFunc func;
void *userdata;
const TaskParallelSettings *settings;
void *userdata_chunk;
/* Root constructor. */
RangeTask(TaskParallelRangeFunc func, void *userdata, const TaskParallelSettings *settings)
: func(func), userdata(userdata), settings(settings)
{
init_chunk(settings->userdata_chunk);
}
/* Copy constructor. */
RangeTask(const RangeTask &other)
: func(other.func), userdata(other.userdata), settings(other.settings)
{
init_chunk(settings->userdata_chunk);
}
/* Splitting constructor for parallel reduce. */
RangeTask(RangeTask &other, tbb::split /* unused */)
: func(other.func), userdata(other.userdata), settings(other.settings)
{
init_chunk(settings->userdata_chunk);
}
~RangeTask()
{
if (settings->func_free != nullptr) {
settings->func_free(userdata, userdata_chunk);
}
MEM_SAFE_FREE(userdata_chunk);
}
void init_chunk(void *from_chunk)
{
if (from_chunk) {
userdata_chunk = MEM_mallocN(settings->userdata_chunk_size, "RangeTask");
memcpy(userdata_chunk, from_chunk, settings->userdata_chunk_size);
}
else {
userdata_chunk = nullptr;
}
}
void operator()(const tbb::blocked_range<int> &r) const
{
TaskParallelTLS tls;
tls.userdata_chunk = userdata_chunk;
for (int i = r.begin(); i != r.end(); ++i) {
func(userdata, i, &tls);
}
}
void join(const RangeTask &other)
{
settings->func_reduce(userdata, userdata_chunk, other.userdata_chunk);
}
};
#endif
void BLI_task_parallel_range(const int start,
const int stop,
void *userdata,
TaskParallelRangeFunc func,
const TaskParallelSettings *settings)
{
#ifdef WITH_TBB
/* Multithreading. */
if (settings->use_threading && BLI_task_scheduler_num_threads() > 1) {
RangeTask task(func, userdata, settings);
const size_t grainsize = MAX2(settings->min_iter_per_thread, 1);
const tbb::blocked_range<int> range(start, stop, grainsize);
if (settings->func_reduce) {
parallel_reduce(range, task);
if (settings->userdata_chunk) {
memcpy(settings->userdata_chunk, task.userdata_chunk, settings->userdata_chunk_size);
}
}
else {
parallel_for(range, task);
}
return;
}
#endif
/* Single threaded. Nothing to reduce as everything is accumulated into the
* main userdata chunk directly. */
TaskParallelTLS tls;
tls.userdata_chunk = settings->userdata_chunk;
for (int i = start; i < stop; i++) {
func(userdata, i, &tls);
}
if (settings->func_free != nullptr) {
settings->func_free(userdata, settings->userdata_chunk);
}
}
int BLI_task_parallel_thread_id(const TaskParallelTLS *UNUSED(tls))
{
#ifdef WITH_TBB
/* Get a unique thread ID for texture nodes. In the future we should get rid
* of the thread ID and change texture evaluation to not require per-thread
* storage that can't be efficiently allocated on the stack. */
static tbb::enumerable_thread_specific<int> tbb_thread_id(-1);
static int tbb_thread_id_counter = 0;
int &thread_id = tbb_thread_id.local();
if (thread_id == -1) {
thread_id = atomic_fetch_and_add_int32(&tbb_thread_id_counter, 1);
if (thread_id >= BLENDER_MAX_THREADS) {
BLI_assert_msg(0, "Maximum number of threads exceeded for sculpting");
thread_id = thread_id % BLENDER_MAX_THREADS;
}
}
return thread_id;
#else
return 0;
#endif
}
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