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
118 lines
2.9 KiB
Plaintext
118 lines
2.9 KiB
Plaintext
#include <thrust/execution_policy.h>
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#include <thrust/uninitialized_copy.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 Iterator1, typename Iterator2>
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__global__ void uninitialized_copy_kernel(ExecutionPolicy exec, Iterator1 first, Iterator1 last, Iterator2 result)
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{
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thrust::uninitialized_copy(exec, first, last, result);
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}
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template <typename ExecutionPolicy>
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void TestUninitializedCopyDevice(ExecutionPolicy exec)
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{
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using Vector = thrust::device_vector<int>;
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Vector v1{0, 1, 2, 3, 4};
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// copy to Vector
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Vector v2(5);
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uninitialized_copy_kernel<<<1, 1>>>(exec, v1.begin(), v1.end(), v2.begin());
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cudaError_t const err = cudaDeviceSynchronize();
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ASSERT_EQUAL(cudaSuccess, err);
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Vector ref{0, 1, 2, 3, 4};
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ASSERT_EQUAL(v2, ref);
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}
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void TestUninitializedCopyDeviceSeq()
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{
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TestUninitializedCopyDevice(thrust::seq);
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}
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DECLARE_UNITTEST(TestUninitializedCopyDeviceSeq);
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void TestUninitializedCopyDeviceDevice()
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{
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TestUninitializedCopyDevice(thrust::device);
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}
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DECLARE_UNITTEST(TestUninitializedCopyDeviceDevice);
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#endif
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void TestUninitializedCopyCudaStreams()
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{
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using Vector = thrust::device_vector<int>;
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Vector v1{0, 1, 2, 3, 4};
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// copy to Vector
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Vector v2(5);
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cudaStream_t s;
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cudaStreamCreate(&s);
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thrust::uninitialized_copy(thrust::cuda::par.on(s), v1.begin(), v1.end(), v2.begin());
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cudaStreamSynchronize(s);
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ASSERT_EQUAL(v2, v1);
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cudaStreamDestroy(s);
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}
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DECLARE_UNITTEST(TestUninitializedCopyCudaStreams);
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#ifdef THRUST_TEST_DEVICE_SIDE
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template <typename ExecutionPolicy, typename Iterator1, typename Size, typename Iterator2>
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__global__ void uninitialized_copy_n_kernel(ExecutionPolicy exec, Iterator1 first, Size n, Iterator2 result)
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{
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thrust::uninitialized_copy_n(exec, first, n, result);
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}
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template <typename ExecutionPolicy>
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void TestUninitializedCopyNDevice(ExecutionPolicy exec)
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{
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using Vector = thrust::device_vector<int>;
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Vector v1{0, 1, 2, 3, 4};
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// copy to Vector
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Vector v2(5);
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uninitialized_copy_n_kernel<<<1, 1>>>(exec, v1.begin(), v1.size(), v2.begin());
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cudaError_t const err = cudaDeviceSynchronize();
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ASSERT_EQUAL(cudaSuccess, err);
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ASSERT_EQUAL(v2, v1);
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}
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void TestUninitializedCopyNDeviceSeq()
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{
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TestUninitializedCopyNDevice(thrust::seq);
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}
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DECLARE_UNITTEST(TestUninitializedCopyNDeviceSeq);
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void TestUninitializedCopyNDeviceDevice()
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{
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TestUninitializedCopyNDevice(thrust::device);
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}
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DECLARE_UNITTEST(TestUninitializedCopyNDeviceDevice);
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#endif
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void TestUninitializedCopyNCudaStreams()
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{
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using Vector = thrust::device_vector<int>;
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Vector v1{0, 1, 2, 3, 4};
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// copy to Vector
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Vector v2(5);
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cudaStream_t s;
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cudaStreamCreate(&s);
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thrust::uninitialized_copy_n(thrust::cuda::par.on(s), v1.begin(), v1.size(), v2.begin());
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cudaStreamSynchronize(s);
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ASSERT_EQUAL(v2, v1);
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cudaStreamDestroy(s);
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}
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DECLARE_UNITTEST(TestUninitializedCopyNCudaStreams);
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