[INFRA] Import NVIDIA/CCCL upstream as optimization reference library
CCCL (CUDA C++ Core Libraries) provides: - CUB: device/block/warp-level GPU primitives (reduce, scan, sort, topk) - Thrust: high-level parallel algorithms (transform_reduce, sort, scan) - libcudacxx: CUDA C++ standard library (atomics, barriers, memory) - cudax: experimental features (memory resources, allocators) - Tuning policies: per-SM hardware-specific algorithm parameters Competition optimization vectors mapped to CCCL: - Output TPS (83% weight): warp_reduce, block_reduce, device_topk - Input TPS (14% weight): device_scan, block_load, prefetch - Cache TPS (3% weight): prefix caching strategy patterns - Memory (0.9 util): pooled/cached/buddy allocators Source: https://github.com/NVIDIA/cccl (shallow clone, HEAD only) License: Apache-2.0
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cccl_upstream/thrust/examples/tiled_range.cu
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cccl_upstream/thrust/examples/tiled_range.cu
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#include <thrust/copy.h>
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#include <thrust/device_vector.h>
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#include <thrust/fill.h>
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#include <thrust/functional.h>
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#include <thrust/iterator/counting_iterator.h>
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#include <thrust/iterator/permutation_iterator.h>
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#include <thrust/iterator/transform_iterator.h>
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#include <iostream>
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// this example illustrates how to tile a range multiple times
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// examples:
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// tiled_range([0, 1, 2, 3], 1) -> [0, 1, 2, 3]
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// tiled_range([0, 1, 2, 3], 2) -> [0, 1, 2, 3, 0, 1, 2, 3]
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// tiled_range([0, 1, 2, 3], 3) -> [0, 1, 2, 3, 0, 1, 2, 3, 0, 1, 2, 3]
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// ...
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template <typename Iterator>
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class tiled_range
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{
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public:
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using difference_type = typename cuda::std::iterator_traits<Iterator>::difference_type;
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struct tile_functor
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{
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difference_type tile_size;
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tile_functor(difference_type tile_size)
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: tile_size(tile_size)
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{}
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__host__ __device__ difference_type operator()(const difference_type& i) const
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{
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return i % tile_size;
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}
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};
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using CountingIterator = typename thrust::counting_iterator<difference_type>;
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using TransformIterator = typename thrust::transform_iterator<tile_functor, CountingIterator>;
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using PermutationIterator = typename thrust::permutation_iterator<Iterator, TransformIterator>;
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// type of the tiled_range iterator
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using iterator = PermutationIterator;
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// construct repeated_range for the range [first,last)
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tiled_range(Iterator first, Iterator last, difference_type tiles)
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: first(first)
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, last(last)
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, tiles(tiles)
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{}
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iterator begin() const
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{
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return PermutationIterator(first, TransformIterator(CountingIterator(0), tile_functor(last - first)));
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}
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iterator end() const
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{
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return begin() + tiles * (last - first);
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}
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protected:
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Iterator first;
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Iterator last;
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difference_type tiles;
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};
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int main()
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{
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thrust::device_vector<int> data{10, 20, 30, 40};
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// print the initial data
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std::cout << "range ";
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thrust::copy(data.begin(), data.end(), std::ostream_iterator<int>(std::cout, " "));
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std::cout << '\n';
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using Iterator = thrust::device_vector<int>::iterator;
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// create tiled_range with two tiles
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tiled_range<Iterator> two(data.begin(), data.end(), 2);
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std::cout << "two tiles: ";
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thrust::copy(two.begin(), two.end(), std::ostream_iterator<int>(std::cout, " "));
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std::cout << '\n';
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// create tiled_range with three tiles
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tiled_range<Iterator> three(data.begin(), data.end(), 3);
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std::cout << "three tiles: ";
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thrust::copy(three.begin(), three.end(), std::ostream_iterator<int>(std::cout, " "));
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std::cout << '\n';
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return 0;
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}
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