56fd68e7dd
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
50 lines
1.5 KiB
Plaintext
50 lines
1.5 KiB
Plaintext
#include <thrust/iterator/zip_iterator.h>
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#include <thrust/reduce.h>
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#include <unittest/unittest.h>
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using namespace unittest;
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template <typename Tuple>
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struct TuplePlus
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{
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_CCCL_HOST_DEVICE Tuple operator()(Tuple x, Tuple y) const
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{
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return cuda::std::make_tuple(
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cuda::std::get<0>(x) + cuda::std::get<0>(y), cuda::std::get<1>(x) + cuda::std::get<1>(y));
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}
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}; // end SumTuple
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template <typename T>
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struct TestZipIteratorReduce
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{
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void operator()(const size_t n)
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{
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thrust::host_vector<T> h_data0 = unittest::random_samples<T>(n);
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thrust::host_vector<T> h_data1 = unittest::random_samples<T>(n);
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thrust::device_vector<T> d_data0 = h_data0;
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thrust::device_vector<T> d_data1 = h_data1;
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using Tuple = cuda::std::tuple<T, T>;
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// run on host
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Tuple h_result = thrust::reduce(
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thrust::make_zip_iterator(h_data0.begin(), h_data1.begin()),
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thrust::make_zip_iterator(h_data0.end(), h_data1.end()),
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cuda::std::make_tuple<T, T>(0, 0),
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TuplePlus<Tuple>());
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// run on device
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Tuple d_result = thrust::reduce(
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thrust::make_zip_iterator(d_data0.begin(), d_data1.begin()),
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thrust::make_zip_iterator(d_data0.end(), d_data1.end()),
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::cuda::std::make_tuple<T, T>(0, 0),
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TuplePlus<Tuple>());
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ASSERT_EQUAL(cuda::std::get<0>(h_result), cuda::std::get<0>(d_result));
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ASSERT_EQUAL(cuda::std::get<1>(h_result), cuda::std::get<1>(d_result));
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}
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};
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VariableUnitTest<TestZipIteratorReduce, IntegralTypes> TestZipIteratorReduceInstance;
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