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
153 lines
3.4 KiB
Plaintext
153 lines
3.4 KiB
Plaintext
#include <thrust/execution_policy.h>
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#include <thrust/generate.h>
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#include <unittest/unittest.h>
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template <typename T>
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struct return_value
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{
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T val;
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return_value() = default;
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return_value(T v)
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: val(v)
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{}
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_CCCL_HOST_DEVICE T operator()()
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{
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return val;
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}
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};
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#ifdef THRUST_TEST_DEVICE_SIDE
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template <typename ExecutionPolicy, typename Iterator, typename Function>
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__global__ void generate_kernel(ExecutionPolicy exec, Iterator first, Iterator last, Function f)
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{
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thrust::generate(exec, first, last, f);
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}
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template <typename T, typename ExecutionPolicy>
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void TestGenerateDevice(ExecutionPolicy exec, const size_t n)
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{
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thrust::host_vector<T> h_result(n);
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thrust::device_vector<T> d_result(n);
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T value = 13;
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return_value<T> f(value);
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thrust::generate(h_result.begin(), h_result.end(), f);
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generate_kernel<<<1, 1>>>(exec, d_result.begin(), d_result.end(), f);
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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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ASSERT_EQUAL(h_result, d_result);
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}
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template <typename T>
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void TestGenerateDeviceSeq(const size_t n)
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{
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TestGenerateDevice<T>(thrust::seq, n);
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}
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DECLARE_VARIABLE_UNITTEST(TestGenerateDeviceSeq);
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template <typename T>
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void TestGenerateDeviceDevice(const size_t n)
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{
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TestGenerateDevice<T>(thrust::device, n);
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}
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DECLARE_VARIABLE_UNITTEST(TestGenerateDeviceDevice);
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#endif
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void TestGenerateCudaStreams()
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{
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thrust::device_vector<int> result(5);
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int value = 13;
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return_value<int> f(value);
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cudaStream_t s;
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cudaStreamCreate(&s);
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thrust::generate(thrust::cuda::par.on(s), result.begin(), result.end(), f);
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cudaStreamSynchronize(s);
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ASSERT_EQUAL(result[0], value);
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ASSERT_EQUAL(result[1], value);
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ASSERT_EQUAL(result[2], value);
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ASSERT_EQUAL(result[3], value);
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ASSERT_EQUAL(result[4], value);
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cudaStreamDestroy(s);
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}
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DECLARE_UNITTEST(TestGenerateCudaStreams);
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#ifdef THRUST_TEST_DEVICE_SIDE
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template <typename ExecutionPolicy, typename Iterator, typename Size, typename Function>
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__global__ void generate_n_kernel(ExecutionPolicy exec, Iterator first, Size n, Function f)
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{
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thrust::generate_n(exec, first, n, f);
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}
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template <typename T, typename ExecutionPolicy>
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void TestGenerateNDevice(ExecutionPolicy exec, const size_t n)
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{
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thrust::host_vector<T> h_result(n);
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thrust::device_vector<T> d_result(n);
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T value = 13;
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return_value<T> f(value);
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thrust::generate_n(h_result.begin(), h_result.size(), f);
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generate_n_kernel<<<1, 1>>>(exec, d_result.begin(), d_result.size(), f);
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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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ASSERT_EQUAL(h_result, d_result);
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}
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template <typename T>
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void TestGenerateNDeviceSeq(const size_t n)
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{
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TestGenerateNDevice<T>(thrust::seq, n);
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}
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DECLARE_VARIABLE_UNITTEST(TestGenerateNDeviceSeq);
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template <typename T>
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void TestGenerateNDeviceDevice(const size_t n)
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{
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TestGenerateNDevice<T>(thrust::device, n);
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}
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DECLARE_VARIABLE_UNITTEST(TestGenerateNDeviceDevice);
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#endif
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void TestGenerateNCudaStreams()
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{
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thrust::device_vector<int> result(5);
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int value = 13;
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return_value<int> f(value);
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cudaStream_t s;
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cudaStreamCreate(&s);
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thrust::generate_n(thrust::cuda::par.on(s), result.begin(), result.size(), f);
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cudaStreamSynchronize(s);
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ASSERT_EQUAL(result[0], value);
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ASSERT_EQUAL(result[1], value);
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ASSERT_EQUAL(result[2], value);
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ASSERT_EQUAL(result[3], value);
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ASSERT_EQUAL(result[4], value);
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cudaStreamDestroy(s);
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}
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DECLARE_UNITTEST(TestGenerateNCudaStreams);
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