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114 lines
2.9 KiB
ReStructuredText
114 lines
2.9 KiB
ReStructuredText
.. _libcudacxx-setup-requirements:
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Requirements
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============
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All requirements are applicable to the ``main`` branch on GitHub. For
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details on specific releases, please see the
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:ref:`changelog <libcudacxx-releases-changelog>`.
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Usage Requirements
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------------------
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To use the NVIDIA C++ Standard Library, you must meet the following
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requirements.
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System Software
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~~~~~~~~~~~~~~~
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The NVIDIA C++ Standard Library requires either the `NVIDIA HPC
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SDK <https://developer.nvidia.com/hpc-sdk>`_ or the `CUDA
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Toolkit <https://developer.nvidia.com/cuda-toolkit>`_.
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libcu++ was first released in NVHPC 20.3 and CUDA 10.2. Some features
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are only available in newer releases. Please see the :ref:`Standard API
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section <libcudacxx-standard-api>`, :ref:`Extended API
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section <libcudacxx-extended-api>`, and :ref:`release section <libcudacxx-releases>`
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to find which features require newer releases.
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Releases of libcu++ are only tested against the latest releases of NVHPC
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and CUDA. It may be possible to use a newer version of libcu++ with an
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older NVHPC or CUDA installation by using a libcu++ release from GitHub,
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but please be aware this is not officially supported.
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C++ Dialects
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~~~~~~~~~~~~
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The NVIDIA C++ Standard Library supports the following C++ dialects:
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- C++11
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- C++14
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- C++17
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A number of features have been backported to earlier standards. Please
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see the [API section] for more details.
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NVCC Host Compilers
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~~~~~~~~~~~~~~~~~~~
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When used with NVCC, the NVIDIA C++ Standard Library supports the
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following host compilers:
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- MSVC 2019 and 2022.
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- GCC 6, until 13.
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- Clang 14 until 18.
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- ICPC latest.
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- NVHPC 20.9 and 20.11.
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Device Architectures
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~~~~~~~~~~~~~~~~~~~~
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The NVIDIA C++ Standard Library fully supports the following NVIDIA
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device architectures:
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- Volta: SM 70 and 72.
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- Turing: SM 75.
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- Ampere: SM 80.
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The following NVIDIA device architectures are partially supported:
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- Maxwell: SM 50, 52 and 53.
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- Synchronization facilities are supported.
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- Pascall: SM 60, 61 and 62.
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- Blocking synchronization facilities (e.g. most of the
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synchronization primitives) are not supported. Please see the
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:ref:`synchronization primitives section <libcudacxx-extended-api-synchronization>` for details.
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Host Architectures
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~~~~~~~~~~~~~~~~~~
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The NVIDIA C++ Standard Library supports the following host
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architectures:
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- aarch64.
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- x86-64.
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Host Operating Systems
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~~~~~~~~~~~~~~~~~~~~~~
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The NVIDIA C++ Standard Library supports the following host operating
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systems:
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- Linux.
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- Windows.
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- Android.
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- QNX.
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Build and Test Requirements
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---------------------------
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To build and test libcu++ yourself, you will need the following in
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addition to the usage requirements:
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- `CMake <https://cmake.org>`_.
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- `LLVM <https://github.com/llvm>`_.
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- You do not have to build LLVM; we only need its CMake modules.
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- `lit <https://pypi.org/project/lit/>`_, the LLVM Integrated Tester.
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- We recommend installing lit using Python's pip package manager.
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