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project_6/cccl_upstream/thrust/testing/tuple_transform.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

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#include <thrust/transform.h>
#include <cuda/std/tuple>
#include <unittest/unittest.h>
using namespace unittest;
struct MakeTupleFunctor
{
template <typename T1, typename T2>
_CCCL_HOST_DEVICE cuda::std::tuple<T1, T2> operator()(T1& lhs, T2& rhs)
{
return cuda::std::tuple(lhs, rhs);
}
};
template <int N>
struct GetFunctor
{
template <typename Tuple>
_CCCL_HOST_DEVICE typename cuda::std::tuple_element<N, Tuple>::type operator()(const Tuple& t)
{
return cuda::std::get<N>(t);
}
};
template <typename T>
struct TestTupleTransform
{
void operator()(const size_t n)
{
thrust::host_vector<T> h_t1 = random_integers<T>(n);
thrust::host_vector<T> h_t2 = random_integers<T>(n);
// zip up the data
thrust::host_vector<cuda::std::tuple<T, T>> h_tuples(n);
thrust::transform(h_t1.begin(), h_t1.end(), h_t2.begin(), h_tuples.begin(), MakeTupleFunctor());
// copy to device
thrust::device_vector<cuda::std::tuple<T, T>> d_tuples = h_tuples;
thrust::device_vector<T> d_t1(n), d_t2(n);
// select 0th
thrust::transform(d_tuples.begin(), d_tuples.end(), d_t1.begin(), GetFunctor<0>());
// select 1st
thrust::transform(d_tuples.begin(), d_tuples.end(), d_t2.begin(), GetFunctor<1>());
ASSERT_ALMOST_EQUAL(h_t1, d_t1);
ASSERT_ALMOST_EQUAL(h_t2, d_t2);
ASSERT_EQUAL_QUIET(h_tuples, d_tuples);
}
};
VariableUnitTest<TestTupleTransform, SignedIntegralTypes> TestTupleTransformInstance;