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NVIDIA/libcudacxx

[ARCHIVED] The C++ Standard Library for your entire system. See https://github.com/NVIDIA/cccl observed · 2026-08-28

github.com/NVIDIA/libcudacxx · homepage · C++ · NOASSERTION (other) · archived observed · 2026-08-28

Health v2 · maintenance only

10/100

  • Activity 0
  • Release rhythm 8
  • Longevity 100

Flags: archived no_license

How is this computed?

round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10) — computed 2026-09-03. Adoption (stars, forks) is never an input.

  • gap_med: n/a
  • age_days: 2176
  • days_rel: n/a
  • days_push: 938
  • n_releases_24m: 0

Full methodology

Adoption not part of the score

2301 stars · 196 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded

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 The repository has been archived and development has moved to the NVIDIA/cccl (CUDA C++ Core Libraries) repository.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

library · maturity abandoned

concurrency developer-tools gpu-computing developer-tools cross-platform cpp windows cuda gpu-computing standard-library archived cccl heterogeneous-computing gpu linux macos

2 sources

Member repositories

RepositoryRoleHealth v2
NVIDIA/libcudacxxmain10

For agents

markdown · JSON · MCP: product_card(name="NVIDIA/libcudacxx")

Data as of 2026-08-30T08:39:29.467469+00:00 · Report a problem