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
212 lines
6.7 KiB
Plaintext
212 lines
6.7 KiB
Plaintext
#include <thrust/extrema.h>
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#include <thrust/functional.h>
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#include <thrust/iterator/retag.h>
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#include <thrust/set_operations.h>
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#include <thrust/sort.h>
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#include <unittest/unittest.h>
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template <typename InputIterator1, typename InputIterator2, typename OutputIterator>
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OutputIterator set_symmetric_difference(
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my_system& system, InputIterator1, InputIterator1, InputIterator2, InputIterator2, OutputIterator result)
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{
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system.validate_dispatch();
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return result;
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}
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void TestSetSymmetricDifferenceDispatchExplicit()
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{
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thrust::device_vector<int> vec(1);
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my_system sys(0);
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thrust::set_symmetric_difference(sys, vec.begin(), vec.begin(), vec.begin(), vec.begin(), vec.begin());
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ASSERT_EQUAL(true, sys.is_valid());
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}
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DECLARE_UNITTEST(TestSetSymmetricDifferenceDispatchExplicit);
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template <typename InputIterator1, typename InputIterator2, typename OutputIterator>
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OutputIterator
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set_symmetric_difference(my_tag, InputIterator1, InputIterator1, InputIterator2, InputIterator2, OutputIterator result)
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{
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*result = 13;
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return result;
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}
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void TestSetSymmetricDifferenceDispatchImplicit()
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{
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thrust::device_vector<int> vec(1);
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thrust::set_symmetric_difference(
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thrust::retag<my_tag>(vec.begin()),
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thrust::retag<my_tag>(vec.begin()),
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thrust::retag<my_tag>(vec.begin()),
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thrust::retag<my_tag>(vec.begin()),
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thrust::retag<my_tag>(vec.begin()));
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ASSERT_EQUAL(13, vec.front());
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}
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DECLARE_UNITTEST(TestSetSymmetricDifferenceDispatchImplicit);
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template <typename Vector>
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void TestSetSymmetricDifferenceSimple()
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{
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using Iterator = typename Vector::iterator;
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Vector a{0, 2, 4, 6}, b{0, 3, 3, 4, 7};
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Vector ref{2, 3, 3, 6, 7};
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Vector result(5);
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Iterator end = thrust::set_symmetric_difference(a.begin(), a.end(), b.begin(), b.end(), result.begin());
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ASSERT_EQUAL_QUIET(result.end(), end);
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ASSERT_EQUAL(ref, result);
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}
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DECLARE_VECTOR_UNITTEST(TestSetSymmetricDifferenceSimple);
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template <typename T>
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void TestSetSymmetricDifference(const size_t n)
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{
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size_t sizes[] = {0, 1, n / 2, n, n + 1, 2 * n};
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size_t num_sizes = sizeof(sizes) / sizeof(size_t);
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thrust::host_vector<T> random =
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unittest::random_integers<unittest::int8_t>(n + *thrust::max_element(sizes, sizes + num_sizes));
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thrust::host_vector<T> h_a(random.begin(), random.begin() + n);
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thrust::host_vector<T> h_b(random.begin() + n, random.end());
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thrust::stable_sort(h_a.begin(), h_a.end());
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thrust::stable_sort(h_b.begin(), h_b.end());
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thrust::device_vector<T> d_a = h_a;
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thrust::device_vector<T> d_b = h_b;
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for (size_t i = 0; i < num_sizes; i++)
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{
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size_t size = sizes[i];
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thrust::host_vector<T> h_result(n + size);
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thrust::device_vector<T> d_result(n + size);
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typename thrust::host_vector<T>::iterator h_end;
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typename thrust::device_vector<T>::iterator d_end;
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h_end = thrust::set_symmetric_difference(h_a.begin(), h_a.end(), h_b.begin(), h_b.begin() + size, h_result.begin());
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h_result.resize(h_end - h_result.begin());
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d_end = thrust::set_symmetric_difference(d_a.begin(), d_a.end(), d_b.begin(), d_b.begin() + size, d_result.begin());
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d_result.resize(d_end - d_result.begin());
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ASSERT_EQUAL(h_result, d_result);
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}
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}
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DECLARE_VARIABLE_UNITTEST(TestSetSymmetricDifference);
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template <typename T>
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void TestSetSymmetricDifferenceEquivalentRanges(const size_t n)
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{
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thrust::host_vector<T> temp = unittest::random_integers<T>(n);
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thrust::host_vector<T> h_a = temp;
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thrust::sort(h_a.begin(), h_a.end());
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thrust::host_vector<T> h_b = h_a;
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thrust::device_vector<T> d_a = h_a;
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thrust::device_vector<T> d_b = h_b;
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thrust::host_vector<T> h_result(h_a.size() + h_b.size());
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thrust::device_vector<T> d_result(h_result.size());
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typename thrust::host_vector<T>::iterator h_end;
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typename thrust::device_vector<T>::iterator d_end;
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h_end = thrust::set_symmetric_difference(h_a.begin(), h_a.end(), h_b.begin(), h_b.end(), h_result.begin());
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h_result.erase(h_end, h_result.end());
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d_end = thrust::set_symmetric_difference(d_a.begin(), d_a.end(), d_b.begin(), d_b.end(), d_result.begin());
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d_result.erase(d_end, d_result.end());
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ASSERT_EQUAL(h_result, d_result);
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}
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DECLARE_VARIABLE_UNITTEST(TestSetSymmetricDifferenceEquivalentRanges);
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template <typename T>
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void TestSetSymmetricDifferenceMultiset(const size_t n)
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{
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thrust::host_vector<T> vec = unittest::random_integers<int>(2 * n);
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// restrict elements to [min,13)
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for (typename thrust::host_vector<T>::iterator i = vec.begin(); i != vec.end(); ++i)
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{
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int temp = static_cast<int>(*i);
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temp %= 13;
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*i = temp;
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}
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thrust::host_vector<T> h_a(vec.begin(), vec.begin() + n);
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thrust::host_vector<T> h_b(vec.begin() + n, vec.end());
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thrust::sort(h_a.begin(), h_a.end());
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thrust::sort(h_b.begin(), h_b.end());
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thrust::device_vector<T> d_a = h_a;
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thrust::device_vector<T> d_b = h_b;
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thrust::host_vector<T> h_result(h_a.size() + h_b.size());
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thrust::device_vector<T> d_result(h_result.size());
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typename thrust::host_vector<T>::iterator h_end;
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typename thrust::device_vector<T>::iterator d_end;
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h_end = thrust::set_difference(h_a.begin(), h_a.end(), h_b.begin(), h_b.end(), h_result.begin());
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h_result.erase(h_end, h_result.end());
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d_end = thrust::set_difference(d_a.begin(), d_a.end(), d_b.begin(), d_b.end(), d_result.begin());
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d_result.erase(d_end, d_result.end());
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ASSERT_EQUAL(h_result, d_result);
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}
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DECLARE_VARIABLE_UNITTEST(TestSetSymmetricDifferenceMultiset);
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template <typename U>
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void TestSetSymmetricDifferenceKeyValue(size_t n)
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{
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using T = key_value<U, U>;
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thrust::host_vector<U> h_keys_a = unittest::random_integers<U>(n);
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thrust::host_vector<U> h_values_a = unittest::random_integers<U>(n);
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thrust::host_vector<U> h_keys_b = unittest::random_integers<U>(n);
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thrust::host_vector<U> h_values_b = unittest::random_integers<U>(n);
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thrust::host_vector<T> h_a(n), h_b(n);
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for (size_t i = 0; i < n; ++i)
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{
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h_a[i] = T(h_keys_a[i], h_values_a[i]);
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h_b[i] = T(h_keys_b[i], h_values_b[i]);
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}
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thrust::stable_sort(h_a.begin(), h_a.end());
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thrust::stable_sort(h_b.begin(), h_b.end());
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thrust::device_vector<T> d_a = h_a;
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thrust::device_vector<T> d_b = h_b;
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thrust::host_vector<T> h_result(h_a.size() + h_b.size());
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thrust::device_vector<T> d_result(h_result.size());
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typename thrust::host_vector<T>::iterator h_end;
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typename thrust::device_vector<T>::iterator d_end;
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h_end = thrust::set_symmetric_difference(h_a.begin(), h_a.end(), h_b.begin(), h_b.end(), h_result.begin());
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h_result.erase(h_end, h_result.begin());
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d_end = thrust::set_symmetric_difference(d_a.begin(), d_a.end(), d_b.begin(), d_b.end(), d_result.begin());
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d_result.erase(d_end, d_result.begin());
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ASSERT_EQUAL_QUIET(h_result, d_result);
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}
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DECLARE_VARIABLE_UNITTEST(TestSetSymmetricDifferenceKeyValue);
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