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
101 lines
2.4 KiB
Plaintext
101 lines
2.4 KiB
Plaintext
#include <thrust/execution_policy.h>
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#include <thrust/sequence.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 sequence_kernel(ExecutionPolicy exec, Iterator first, Iterator last)
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{
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thrust::sequence(exec, first, last);
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}
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template <typename ExecutionPolicy, typename Iterator, typename T>
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__global__ void sequence_kernel(ExecutionPolicy exec, Iterator first, Iterator last, T init)
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{
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thrust::sequence(exec, first, last, init);
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}
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template <typename ExecutionPolicy, typename Iterator, typename T>
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__global__ void sequence_kernel(ExecutionPolicy exec, Iterator first, Iterator last, T init, T step)
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{
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thrust::sequence(exec, first, last, init, step);
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}
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template <typename ExecutionPolicy>
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void TestSequenceDevice(ExecutionPolicy exec)
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{
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thrust::device_vector<int> v(5);
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sequence_kernel<<<1, 1>>>(exec, v.begin(), v.end());
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{
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cudaError_t const err = cudaDeviceSynchronize();
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ASSERT_EQUAL(cudaSuccess, err);
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}
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thrust::device_vector<int> ref{0, 1, 2, 3, 4};
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ASSERT_EQUAL(v, ref);
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sequence_kernel<<<1, 1>>>(exec, v.begin(), v.end(), 10);
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{
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cudaError_t const err = cudaDeviceSynchronize();
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ASSERT_EQUAL(cudaSuccess, err);
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}
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ref = {10, 11, 12, 13, 14};
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ASSERT_EQUAL(v, ref);
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sequence_kernel<<<1, 1>>>(exec, v.begin(), v.end(), 10, 2);
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{
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cudaError_t const err = cudaDeviceSynchronize();
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ASSERT_EQUAL(cudaSuccess, err);
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}
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ref = {10, 12, 14, 16, 18};
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ASSERT_EQUAL(v, ref);
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}
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void TestSequenceDeviceSeq()
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{
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TestSequenceDevice(thrust::seq);
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}
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DECLARE_UNITTEST(TestSequenceDeviceSeq);
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void TestSequenceDeviceDevice()
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{
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TestSequenceDevice(thrust::device);
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}
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DECLARE_UNITTEST(TestSequenceDeviceDevice);
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#endif
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void TestSequenceCudaStreams()
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{
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using Vector = thrust::device_vector<int>;
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Vector v(5);
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cudaStream_t s;
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cudaStreamCreate(&s);
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thrust::sequence(thrust::cuda::par.on(s), v.begin(), v.end());
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cudaStreamSynchronize(s);
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Vector ref{0, 1, 2, 3, 4};
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ASSERT_EQUAL(v, ref);
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thrust::sequence(thrust::cuda::par.on(s), v.begin(), v.end(), 10);
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cudaStreamSynchronize(s);
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ref = {10, 11, 12, 13, 14};
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ASSERT_EQUAL(v, ref);
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thrust::sequence(thrust::cuda::par.on(s), v.begin(), v.end(), 10, 2);
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cudaStreamSynchronize(s);
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ref = {10, 12, 14, 16, 18};
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ASSERT_EQUAL(v, ref);
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cudaStreamDestroy(s);
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}
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DECLARE_UNITTEST(TestSequenceCudaStreams);
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