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 only tested against the latest releases of NVHPC and 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 following C++ dialects:

• C++11
• C++14
• C++17

A number of features have been backported to earlier standards. Please see the [API section] for more details.

NVCC Host Compilers

When used with NVCC, the NVIDIA C++ Standard Library supports the following host compilers:

• MSVC 2017 and 2019.
• GCC 5, 6, 7, 8, 9, and 10.
• Clang 7, 8, 9, and 10.
• ICPC latest.
• NVHPC 20.9 and 20.11.

Device Architectures

The NVIDIA C++ Standard Library fully supports the following NVIDIA device architectures:

• Volta: SM 70 and 72.
• Turing: SM 75.
• Ampere: SM 80.

The following NVIDIA device architectures are partially supported:

• Maxwell: SM 50, 52 and 53.
  • Synchronization facilities are supported.
• Pascall: 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.
• ppc64le.

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:

• CMake.
• LLVM.
  • You do not have to build LLVM; we only need its CMake modules.
• lit, the LLVM Integrated Tester.
  • We recommend installing lit using Python’s pip package manager.