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
120 lines
2.9 KiB
Plaintext
120 lines
2.9 KiB
Plaintext
#include <thrust/execution_policy.h>
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#include <thrust/reverse.h>
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#include <unittest/unittest.h>
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#ifdef THRUST_TEST_DEVICE_SIDE
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template <typename ExecutionPolicy, typename Iterator>
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__global__ void reverse_kernel(ExecutionPolicy exec, Iterator first, Iterator last)
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{
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thrust::reverse(exec, first, last);
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}
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template <typename ExecutionPolicy>
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void TestReverseDevice(ExecutionPolicy exec)
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{
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size_t n = 1000;
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thrust::host_vector<int> h_data = unittest::random_integers<int>(n);
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thrust::device_vector<int> d_data = h_data;
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thrust::reverse(h_data.begin(), h_data.end());
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reverse_kernel<<<1, 1>>>(exec, raw_pointer_cast(d_data.data()), raw_pointer_cast(d_data.data() + d_data.size()));
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cudaError_t const err = cudaDeviceSynchronize();
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ASSERT_EQUAL(cudaSuccess, err);
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ASSERT_EQUAL(h_data, d_data);
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};
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void TestReverseDeviceSeq()
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{
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TestReverseDevice(thrust::seq);
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}
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DECLARE_UNITTEST(TestReverseDeviceSeq);
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void TestReverseDeviceDevice()
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{
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TestReverseDevice(thrust::device);
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}
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DECLARE_UNITTEST(TestReverseDeviceDevice);
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template <typename ExecutionPolicy, typename Iterator1, typename Iterator2>
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__global__ void reverse_copy_kernel(ExecutionPolicy exec, Iterator1 first, Iterator1 last, Iterator2 result)
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{
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thrust::reverse_copy(exec, first, last, result);
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}
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template <typename ExecutionPolicy>
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void TestReverseCopyDevice(ExecutionPolicy exec)
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{
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size_t n = 1000;
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thrust::host_vector<int> h_data = unittest::random_integers<int>(n);
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thrust::device_vector<int> d_data = h_data;
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thrust::host_vector<int> h_result(n);
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thrust::device_vector<int> d_result(n);
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thrust::reverse_copy(h_data.begin(), h_data.end(), h_result.begin());
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reverse_copy_kernel<<<1, 1>>>(exec, d_data.begin(), d_data.end(), d_result.begin());
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cudaError_t const err = cudaDeviceSynchronize();
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ASSERT_EQUAL(cudaSuccess, err);
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ASSERT_EQUAL(h_result, d_result);
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};
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void TestReverseCopyDeviceSeq()
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{
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TestReverseCopyDevice(thrust::seq);
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}
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DECLARE_UNITTEST(TestReverseCopyDeviceSeq);
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void TestReverseCopyDeviceDevice()
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{
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TestReverseCopyDevice(thrust::device);
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}
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DECLARE_UNITTEST(TestReverseCopyDeviceDevice);
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#endif
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void TestReverseCudaStreams()
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{
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using Vector = thrust::device_vector<int>;
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Vector data{1, 2, 3, 4, 5};
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cudaStream_t s;
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cudaStreamCreate(&s);
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thrust::reverse(thrust::cuda::par.on(s), data.begin(), data.end());
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cudaStreamSynchronize(s);
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Vector ref{5, 4, 3, 2, 1};
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ASSERT_EQUAL(ref, data);
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cudaStreamDestroy(s);
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}
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DECLARE_UNITTEST(TestReverseCudaStreams);
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void TestReverseCopyCudaStreams()
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{
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using Vector = thrust::device_vector<int>;
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Vector data{1, 2, 3, 4, 5};
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Vector result(5);
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cudaStream_t s;
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cudaStreamCreate(&s);
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thrust::reverse_copy(thrust::cuda::par.on(s), data.begin(), data.end(), result.begin());
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cudaStreamSynchronize(s);
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Vector ref{5, 4, 3, 2, 1};
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ASSERT_EQUAL(ref, result);
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cudaStreamDestroy(s);
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}
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DECLARE_UNITTEST(TestReverseCopyCudaStreams);
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