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project_6/cccl_upstream/thrust/testing/cuda/stream_legacy.cu

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[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
#include <thrust/execution_policy.h>
#include <thrust/system/cuda/detail/util.h>
#include <thread>
#include <unittest/unittest.h>
void verify_stream()
{
auto exec = thrust::device;
auto stream = thrust::cuda_cub::stream(exec);
ASSERT_EQUAL(stream, cudaStreamLegacy);
}
void TestLegacyDefaultStream()
{
verify_stream();
std::thread t(verify_stream);
t.join();
}
DECLARE_UNITTEST(TestLegacyDefaultStream);
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