# NVIDIA/libcudacxx

[ARCHIVED] The C++ Standard Library for your entire system. See https://github.com/NVIDIA/cccl

Repository: https://github.com/NVIDIA/libcudacxx
Canonical: https://ross.abutalabs.com/products/libcudacxx
Homepage: https://nvidia.github.io/libcudacxx
Language: C++
License: NOASSERTION
License Family: other
Topics: cuda, nvidia-hpc-sdk, libcxx, gpu, cpp, cpp11, cpp14, cpp17, cpp20, cpp23, cxx, cxx11, cxx14, cxx17, cxx20, cxx23, standard, std, llvm, nvidia
Archived: true
Last push: 2024-02-07T22:05:07+00:00

## Health v2 (maintenance only)
Score: 10/100 (v2, computed 2026-09-03T02:20:16.233290+00:00)
- activity 0, release rhythm 8, longevity 100
- inputs: {"age_days": 2176, "days_push": 938, "days_rel": null, "gap_med": null, "n_releases_24m": 0}
- flags: archived, no_license
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 2301, forks 196 (observed 2026-08-28T04:06:35.425567+00:00)

## What it is
NVIDIA's libcudacxx is a C++ Standard Library implementation designed to work across both host CPUs and NVIDIA GPUs, providing standard-conforming containers, algorithms, and primitives usable in CUDA device code. The repository has been archived and development has moved to the NVIDIA/cccl (CUDA C++ Core Libraries) repository.

## Use cases
- use std::vector and standard algorithms in CUDA device code
- write portable C++ that runs on both CPU and GPU
- synchronize host and device code with standard-style primitives
- migrate CPU C++ code to run on NVIDIA GPUs
- use C++17/20 features in CUDA kernels
- build heterogeneous C++ applications with a standard library API

## When to choose
- you need a standard-conforming C++ library usable inside CUDA kernels
- you want to share code between host and device without rewriting
- you are starting a new project and should use its successor in NVIDIA/cccl

## When to avoid
- you are starting a new project - use NVIDIA/cccl instead since this repo is archived
- you need GPU support for non-NVIDIA hardware like AMD or Intel
- you need a general-purpose CPU-only C++ standard library

## Facets
- artifact type: library
- maturity: abandoned
- function: concurrency, developer-tools
- domain: gpu-computing, developer-tools, cross-platform
- platform: cpp, windows
- tags: cuda, gpu-computing, standard-library, archived, cccl, heterogeneous-computing, gpu, linux, macos

## Member repositories
- NVIDIA/libcudacxx (main) score 10

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:06:35.425567+00:00.
- Health v2: computed from the inputs above; adoption is never an input.
- Inferred fields (summary, facets, guidance): AI-extracted, prompt v1, taxonomy v1, on 2026-08-30T02:40:11.675079+00:00, confidence not recorded.
  - readme: https://github.com/NVIDIA/libcudacxx (fetched 2026-08-28T04:06:35.425567+00:00, sha 1c912621d25f)
  - homepage: https://nvidia.github.io/libcudacxx (fetched 2026-08-29T10:20:20.646568+00:00, sha 2b52accc564a)
- Data as of 2026-08-30T08:39:29.467469+00:00.