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---
grand_parent: Extended API
parent: Synchronization Primitives
---
# `cuda::pipeline`
Defined in header `<cuda/pipeline>`:
```cuda
template <cuda::thread_scope Scope>
class cuda::pipeline {
public:
pipeline() = delete;
__host__ __device__ ~pipeline();
pipeline& operator=(pipeline const&) = delete;
__host__ __device__ void producer_acquire();
__host__ __device__ void producer_commit();
__host__ __device__ void consumer_wait();
template <typename Rep, typename Period>
__host__ __device__ bool consumer_wait_for(
cuda::std::chrono::duration<Rep, Period> const& duration);
template <typename Clock, typename Duration>
__host__ __device__
bool consumer_wait_until(
cuda::std::chrono::time_point<Clock, Duration> const& time_point);
__host__ __device__ void consumer_release();
__host__ __device__ bool quit();
};
```
The class template `cuda::pipeline` provides a coordination mechanism which
can sequence [asynchronous operations], such as [`cuda::memcpy_async`], into
stages.
A thread interacts with a _pipeline stage_ using the following pattern:
1. Acquire the pipeline stage.
2. Commit some operations to the stage.
3. Wait for the previously committed operations to complete.
4. Release the pipeline stage.
For [`cuda::thread_scope`]s other than `cuda::thread_scope_thread`, a
[`cuda::pipeline_shared_state`] is required to coordinate the participating
threads.
_Pipelines_ can be either _unified_ or _partitioned_.
In a _unified pipeline_, all the participating threads are both producers and
consumers.
In a _partitioned pipeline_, each participating thread is either a producer or
a consumer.
## Template Parameters
| `Scope` | The scope of threads participating in the _pipeline_. |
## Member Functions
| (constructor) [deleted] | `cuda::pipeline` is not constructible. |
| [(destructor)] | Destroys the `cuda::pipeline`. |
| `operator=` [deleted] | `cuda::pipeline` is not assignable. |
| [`producer_acquire`] | Blocks the current thread until the next _pipeline stage_ is available. |
| [`producer_commit`] | Commits operations previously issued by the current thread to the current _pipeline stage_. |
| [`consumer_wait`] | Blocks the current thread until all operations committed to the current _pipeline stage_ complete. |
| [`consumer_wait_for`] | Blocks the current thread until all operations committed to the current _pipeline stage_ complete or after the specified timeout duration. |
| [`consumer_wait_until`] | Blocks the current thread until all operations committed to the current _pipeline stage_ complete or until specified time point has been reached. |
| [`consumer_release`] | Release the current _pipeline stage_. |
| [`quit`] | Quits current thread's participation in the _pipeline_. |
## Notes
A thread role cannot change during the lifetime of the pipeline object.
## Example
```cuda
#include <cuda/pipeline>
#include <cooperative_groups.h>
// Disables `pipeline_shared_state` initialization warning.
#pragma diag_suppress static_var_with_dynamic_init
template <typename T>
__device__ void compute(T* ptr);
template <typename T>
__global__ void example_kernel(T* global0, T* global1, cuda::std::size_t subset_count) {
extern __shared__ T s[];
auto group = cooperative_groups::this_thread_block();
T* shared[2] = { s, s + 2 * group.size() };
// Create a pipeline.
constexpr auto scope = cuda::thread_scope_block;
constexpr auto stages_count = 2;
__shared__ cuda::pipeline_shared_state<scope, stages_count> shared_state;
auto pipeline = cuda::make_pipeline(group, &shared_state);
// Prime the pipeline.
pipeline.producer_acquire();
cuda::memcpy_async(group, shared[0],
&global0[0], sizeof(T) * group.size(), pipeline);
cuda::memcpy_async(group, shared[0] + group.size(),
&global1[0], sizeof(T) * group.size(), pipeline);
pipeline.producer_commit();
// Pipelined copy/compute.
for (cuda::std::size_t subset = 1; subset < subset_count; ++subset) {
pipeline.producer_acquire();
cuda::memcpy_async(group, shared[subset % 2],
&global0[subset * group.size()],
sizeof(T) * group.size(), pipeline);
cuda::memcpy_async(group, shared[subset % 2] + group.size(),
&global1[subset * group.size()],
sizeof(T) * group.size(), pipeline);
pipeline.producer_commit();
pipeline.consumer_wait();
compute(shared[(subset - 1) % 2]);
pipeline.consumer_release();
}
// Drain the pipeline.
pipeline.consumer_wait();
compute(shared[(subset_count - 1) % 2]);
pipeline.consumer_release();
}
template void __global__ example_kernel<int>(int*, int*, cuda::std::size_t);
```
[See it on Godbolt](https://godbolt.org/z/zc41bWvja){: .btn }
[asynchronous operations]: ../asynchronous_operations.md
[`cuda::memcpy_async`]: ../asynchronous_operations/memcpy_async.md
[`cuda::thread_scope`]: ../thread_scopes.md
[`cuda::pipeline_shared_state`]: ./pipeline_shared_state.md
[(destructor)]: ./pipeline/destructor.md
[`producer_acquire`]: ./pipeline/producer_acquire.md
[`producer_commit`]: ./pipeline/producer_commit.md
[`consumer_wait`]: ./pipeline/consumer_wait.md
[`consumer_wait_for`]: ./pipeline/consumer_wait.md
[`consumer_wait_until`]: ./pipeline/consumer_wait.md
[`consumer_release`]: ./pipeline/consumer_release.md
[`quit`]: ./pipeline/quit.md