a5beca7ba0
This frequently showed up in profiling but shouldn't. This also updates the code to use atomics for more correctness and adds multi-threading for better performance.
48 lines
1.3 KiB
C++
48 lines
1.3 KiB
C++
/* SPDX-License-Identifier: GPL-2.0-or-later */
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#include <mutex>
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#include "BLI_array.hh"
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#include "BLI_index_range.hh"
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#include "BLI_span.hh"
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#include "BLI_task.hh"
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#include "BLI_vector.hh"
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namespace blender {
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static RawVector<RawArray<int64_t, 0>> arrays;
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static std::mutex current_array_mutex;
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std::atomic<int64_t> IndexRange::s_current_array_size = 0;
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std::atomic<int64_t *> IndexRange::s_current_array = nullptr;
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Span<int64_t> IndexRange::as_span_internal() const
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{
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int64_t min_required_size = start_ + size_;
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std::lock_guard<std::mutex> lock(current_array_mutex);
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/* Double checked lock. */
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if (min_required_size <= s_current_array_size) {
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return Span<int64_t>(s_current_array + start_, size_);
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}
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/* Isolate, because a mutex is locked. */
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threading::isolate_task([&]() {
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int64_t new_size = std::max<int64_t>(1000, power_of_2_max_u(min_required_size));
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RawArray<int64_t, 0> new_array(new_size);
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threading::parallel_for(IndexRange(new_size), 4096, [&](const IndexRange range) {
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for (const int64_t i : range) {
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new_array[i] = i;
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}
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});
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arrays.append(std::move(new_array));
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s_current_array.store(arrays.last().data(), std::memory_order_release);
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s_current_array_size.store(new_size, std::memory_order_release);
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});
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return Span<int64_t>(s_current_array + start_, size_);
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}
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} // namespace blender
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