Files
project_6/cccl_upstream/thrust/testing/cuda/equal.cu
EngineX CI 56fd68e7dd [INFRA] Import NVIDIA/CCCL upstream as optimization reference library
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
2026-07-30 09:35:51 +00:00

121 lines
4.0 KiB
Plaintext

#include <thrust/equal.h>
#include <thrust/execution_policy.h>
#include <thrust/functional.h>
#include <unittest/unittest.h>
#ifdef THRUST_TEST_DEVICE_SIDE
template <typename ExecutionPolicy, typename Iterator1, typename Iterator2, typename Iterator3>
__global__ void equal_kernel(ExecutionPolicy exec, Iterator1 first1, Iterator1 last1, Iterator2 first2, Iterator3 result)
{
*result = thrust::equal(exec, first1, last1, first2);
}
template <typename ExecutionPolicy, typename Iterator1, typename Iterator2, typename BinaryPredicate, typename Iterator3>
__global__ void equal_kernel(
ExecutionPolicy exec, Iterator1 first1, Iterator1 last1, Iterator2 first2, BinaryPredicate pred, Iterator3 result)
{
*result = thrust::equal(exec, first1, last1, first2, pred);
}
template <typename T, typename ExecutionPolicy>
void TestEqualDevice(ExecutionPolicy exec, const size_t n)
{
thrust::device_vector<T> d_data1 = unittest::random_samples<T>(n);
thrust::device_vector<T> d_data2 = unittest::random_samples<T>(n);
thrust::device_vector<bool> d_result(1, false);
// empty ranges
equal_kernel<<<1, 1>>>(exec, d_data1.begin(), d_data1.begin(), d_data1.begin(), d_result.begin());
{
cudaError_t const err = cudaDeviceSynchronize();
ASSERT_EQUAL(cudaSuccess, err);
}
ASSERT_EQUAL(d_result[0], true);
// symmetric cases
equal_kernel<<<1, 1>>>(exec, d_data1.begin(), d_data1.end(), d_data1.begin(), d_result.begin());
{
cudaError_t const err = cudaDeviceSynchronize();
ASSERT_EQUAL(cudaSuccess, err);
}
ASSERT_EQUAL(d_result[0], true);
if (n > 0)
{
d_data1[0] = 0;
d_data2[0] = 1;
// different vectors
equal_kernel<<<1, 1>>>(exec, d_data1.begin(), d_data1.end(), d_data2.begin(), d_result.begin());
{
cudaError_t const err = cudaDeviceSynchronize();
ASSERT_EQUAL(cudaSuccess, err);
}
ASSERT_EQUAL(d_result[0], false);
// different predicates
equal_kernel<<<1, 1>>>(
exec, d_data1.begin(), d_data1.begin() + 1, d_data2.begin(), ::cuda::std::less<T>(), d_result.begin());
{
cudaError_t const err = cudaDeviceSynchronize();
ASSERT_EQUAL(cudaSuccess, err);
}
ASSERT_EQUAL(d_result[0], true);
equal_kernel<<<1, 1>>>(
exec, d_data1.begin(), d_data1.begin() + 1, d_data2.begin(), ::cuda::std::greater<T>(), d_result.begin());
{
cudaError_t const err = cudaDeviceSynchronize();
ASSERT_EQUAL(cudaSuccess, err);
}
ASSERT_EQUAL(d_result[0], false);
}
}
template <typename T>
void TestEqualDeviceSeq(const size_t n)
{
TestEqualDevice<T>(thrust::seq, n);
}
DECLARE_VARIABLE_UNITTEST(TestEqualDeviceSeq);
template <typename T>
void TestEqualDeviceDevice(const size_t n)
{
TestEqualDevice<T>(thrust::device, n);
}
DECLARE_VARIABLE_UNITTEST(TestEqualDeviceDevice);
#endif
void TestEqualCudaStreams()
{
thrust::device_vector<int> v1 = {5, 2, 0, 0, 0};
thrust::device_vector<int> v2 = {5, 2, 0, 6, 1};
cudaStream_t s;
cudaStreamCreate(&s);
ASSERT_EQUAL(thrust::equal(thrust::cuda::par.on(s), v1.begin(), v1.end(), v1.begin()), true);
ASSERT_EQUAL(thrust::equal(thrust::cuda::par.on(s), v1.begin(), v1.end(), v2.begin()), false);
ASSERT_EQUAL(thrust::equal(thrust::cuda::par.on(s), v2.begin(), v2.end(), v2.begin()), true);
ASSERT_EQUAL(thrust::equal(thrust::cuda::par.on(s), v1.begin(), v1.begin() + 0, v1.begin()), true);
ASSERT_EQUAL(thrust::equal(thrust::cuda::par.on(s), v1.begin(), v1.begin() + 1, v1.begin()), true);
ASSERT_EQUAL(thrust::equal(thrust::cuda::par.on(s), v1.begin(), v1.begin() + 3, v2.begin()), true);
ASSERT_EQUAL(thrust::equal(thrust::cuda::par.on(s), v1.begin(), v1.begin() + 4, v2.begin()), false);
ASSERT_EQUAL(thrust::equal(thrust::cuda::par.on(s), v1.begin(), v1.end(), v2.begin(), ::cuda::std::less_equal<int>()),
true);
ASSERT_EQUAL(thrust::equal(thrust::cuda::par.on(s), v1.begin(), v1.end(), v2.begin(), ::cuda::std::greater<int>()),
false);
cudaStreamDestroy(s);
}
DECLARE_UNITTEST(TestEqualCudaStreams);