a69cc9f13d
Since Embree v3.13.0 supports AARCH64, switch back to the
official repo instead of using Embree-aarch64.
`thirdparty/embree/patches/godot-changes.patch` should now contain
an accurate diff of the changes done to the library.
(cherry picked from commit 767e374dce)
85 lines
2.8 KiB
C++
85 lines
2.8 KiB
C++
// Copyright 2009-2021 Intel Corporation
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// SPDX-License-Identifier: Apache-2.0
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#pragma once
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#include "parallel_for.h"
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namespace embree
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{
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template<typename Value>
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struct ParallelPrefixSumState
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{
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enum { MAX_TASKS = 64 };
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Value counts[MAX_TASKS];
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Value sums [MAX_TASKS];
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};
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template<typename Index, typename Value, typename Func, typename Reduction>
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__forceinline Value parallel_prefix_sum( ParallelPrefixSumState<Value>& state, Index first, Index last, Index minStepSize, const Value& identity, const Func& func, const Reduction& reduction)
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{
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/* calculate number of tasks to use */
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const size_t numThreads = TaskScheduler::threadCount();
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const size_t numBlocks = (last-first+minStepSize-1)/minStepSize;
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const size_t taskCount = min(numThreads,numBlocks,size_t(ParallelPrefixSumState<Value>::MAX_TASKS));
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/* perform parallel prefix sum */
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parallel_for(taskCount, [&](const size_t taskIndex)
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{
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const size_t i0 = first+(taskIndex+0)*(last-first)/taskCount;
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const size_t i1 = first+(taskIndex+1)*(last-first)/taskCount;
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state.counts[taskIndex] = func(range<size_t>(i0,i1),state.sums[taskIndex]);
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});
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/* calculate prefix sum */
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Value sum=identity;
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for (size_t i=0; i<taskCount; i++)
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{
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const Value c = state.counts[i];
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state.sums[i] = sum;
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sum=reduction(sum,c);
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}
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return sum;
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}
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/*! parallel calculation of prefix sums */
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template<typename SrcArray, typename DstArray, typename Value, typename Add>
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__forceinline Value parallel_prefix_sum(const SrcArray& src, DstArray& dst, size_t N, const Value& identity, const Add& add, const size_t SINGLE_THREAD_THRESHOLD = 4096)
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{
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/* perform single threaded prefix operation for small N */
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if (N < SINGLE_THREAD_THRESHOLD)
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{
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Value sum=identity;
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for (size_t i=0; i<N; sum=add(sum,src[i++])) dst[i] = sum;
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return sum;
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}
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/* perform parallel prefix operation for large N */
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else
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{
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ParallelPrefixSumState<Value> state;
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/* initial run just sets up start values for subtasks */
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parallel_prefix_sum( state, size_t(0), size_t(N), size_t(1024), identity, [&](const range<size_t>& r, const Value& sum) -> Value {
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Value s = identity;
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for (size_t i=r.begin(); i<r.end(); i++) s = add(s,src[i]);
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return s;
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}, add);
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/* final run calculates prefix sum */
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return parallel_prefix_sum( state, size_t(0), size_t(N), size_t(1024), identity, [&](const range<size_t>& r, const Value& sum) -> Value {
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Value s = identity;
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for (size_t i=r.begin(); i<r.end(); i++) {
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dst[i] = add(sum,s);
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s = add(s,src[i]);
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}
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return s;
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}, add);
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}
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}
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}
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