Requirements#
All requirements are applicable to the main branch on GitHub. For
details on specific releases, please see the
changelog.
Usage Requirements#
To use the NVIDIA C++ Standard Library, you must meet the following requirements.
System Software#
The NVIDIA C++ Standard Library requires either the NVIDIA HPC SDK or the CUDA Toolkit.
libcu++ was first released in NVHPC 20.3 and CUDA 10.2. Some features are only available in newer releases. Please see the Standard API section, Extended API section, and release section to find which features require newer releases.
Releases of libcu++ are tested as part of CCCL against the latest releases of NVHPC and the two latest major versions of CUDA.
. It may be possible to use a newer version of libcu++ with an older NVHPC or CUDA installation by using a libcu++ release from GitHub, but please be aware this is not officially supported.
C++ Dialects#
The NVIDIA C++ Standard Library supports the same dialects as CCCL. A number of features have been backported to earlier standards. Please see the [API section] for more details.
NVCC Host Compilers#
Same as CCCL, see here.
Device Architectures#
The NVIDIA C++ Standard Library fully supports the same device architectures as the CUDA Toolkits it supports. The following NVIDIA device architectures are partially supported:
Maxwell: SM 50, 52 and 53.
Synchronization facilities are supported.
Pascal: SM 60, 61 and 62.
Blocking synchronization facilities (e.g. most of the synchronization primitives) are not supported. Please see the synchronization primitives section for details.
Host Architectures#
The NVIDIA C++ Standard Library supports the following host architectures:
aarch64.
x86-64.
Host Operating Systems#
The NVIDIA C++ Standard Library supports the following host operating systems:
Linux.
Windows.
Android.
QNX.
Build and Test Requirements#
To build and test libcu++ yourself, you will need the following in addition to the usage requirements: