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.. _libcudacxx-extended-api-synchronization-atomic:
cuda::atomic
================
.. toctree::
:hidden:
:maxdepth: 1
atomic/atomic_thread_fence
atomic/fetch_max
atomic/fetch_min
Defined in header ``<cuda/atomic>``:
.. code:: cuda
template <typename T, cuda::thread_scope Scope = cuda::thread_scope_system>
class cuda::atomic;
The class template ``cuda::atomic`` is an extended form of `cuda::std::atomic <https://en.cppreference.com/w/cpp/atomic/atomic>`_
that takes an additional :ref:`cuda::thread_scope <libcudacxx-extended-api-memory-model-thread-scopes>` argument,
defaulted to ``cuda::std::thread_scope_system``.
It has the same interface and semantics as `cuda::std::atomic <https://en.cppreference.com/w/cpp/atomic/atomic>`_,
with the following additional operations.
.. list-table::
:widths: 25 75
:header-rows: 0
* - :ref:`cuda::atomic_thread_fence <libcudacxx-extended-api-synchronization-atomic-atomic-thread-fence>`
- Memory order and scope dependent fence synchronization primitive.
* - :ref:`cuda::atomic::fetch_min <libcudacxx-extended-api-synchronization-atomic-atomic-fetch-min>`
- Atomically find the minimum of the stored value and a provided value.
* - :ref:`cuda::atomic::fetch_max <libcudacxx-extended-api-synchronization-atomic-atomic-fetch-max>`
- Atomically find the maximum of the stored value and a provided value.
Concurrency Restrictions
------------------------
An object of type ``cuda::atomic`` or `cuda::std::atomic <https://en.cppreference.com/w/cpp/atomic/atomic>`_
shall not be accessed concurrently by CPU and GPU threads unless:
- it is in unified memory and the `concurrentManagedAccess property <https://docs.nvidia.com/cuda/cuda-runtime-api/structcudaDeviceProp.html#structcudaDeviceProp_116f9619ccc85e93bc456b8c69c80e78b>`_
is 1, or
- it is in CPU memory and the `hostNativeAtomicSupported property <https://docs.nvidia.com/cuda/cuda-runtime-api/structcudaDeviceProp.html#structcudaDeviceProp_1ef82fd7d1d0413c7d6f33287e5b6306f>`_
is 1.
Note, for objects of scopes other than ``cuda::thread_scope_system`` this is a data-race, and therefore also
prohibited regardless of memory characteristics.
Under CUDA Compute Capability 6 (Pascal), an object of type ``atomic`` may not be used:
- with automatic storage duration, or
- if ``is_always_lock_free()`` is ``false``.
Under CUDA Compute Capability prior to 6 (Pascal), objects of type ``cuda::atomic`` or
`cuda::std::atomic <https://en.cppreference.com/w/cpp/atomic/atomic>`_ may not be used.
Implementation-Defined Behavior
-------------------------------
For each type ``T`` and :ref:`cuda::thread_scope <libcudacxx-extended-api-memory-model-thread-scopes>` ``S``,
the value of ``cuda::atomic<T, S>::is_always_lock_free()`` is as follows:
.. list-table::
:widths: 25 25 50
:header-rows: 0
* - Type ``T``
- :ref:`cuda::thread_scope <libcudacxx-extended-api-memory-model-thread-scopes>` ``S``
- ``cuda::atomic<T, S>::is_always_lock_free()``
* - Any valid type
- Any thread scope
- ``sizeof(T) <= 8``
Example
-------
.. code:: cuda
#include <cuda/atomic>
__global__ void example_kernel() {
// This atomic is suitable for all threads in the system.
cuda::atomic<int, cuda::thread_scope_system> a;
// This atomic has the same type as the previous one (`a`).
cuda::atomic<int> b;
// This atomic is suitable for all threads on the current processor (e.g. GPU).
cuda::atomic<int, cuda::thread_scope_device> c;
// This atomic is suitable for threads in the same thread block.
cuda::atomic<int, cuda::thread_scope_block> d;
}
`See it on Godbolt <https://godbolt.org/z/avo3Evbee>`_