NVIDIA/thrust
[ARCHIVED] The C++ parallel algorithms library. See https://github.com/NVIDIA/cccl 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: 5294
- days_rel: n/a
- days_push: 937
- n_releases_24m: 0
Adoption not part of the score
5002 stars · 760 forks observed · 2026-08-28
What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-29, confidence not recorded
Thrust is a C++ parallel algorithms library providing an STL-like high-level interface for GPU and multicore CPU computing, built on CUDA, TBB, and OpenMP backends. This repository is archived; development has moved to the unified NVIDIA/cccl repository.
Use cases
- sort large arrays on the GPU with C++
- parallel reductions and scans in CUDA
- write performance-portable parallel C++ code
- replace hand-written CUDA kernels with high-level algorithms
- transfer data between host and device vectors
- generate random numbers in parallel
When to choose
- you want STL-style parallel algorithms on NVIDIA GPUs
- you need productivity over fine-grained kernel control
- you are already using the CUDA Toolkit or NVIDIA HPC SDK
When to avoid
- you need the latest updates - use NVIDIA/cccl instead
- you require fine-grained control over CUDA kernels and memory
- you target non-NVIDIA GPUs exclusively
Facets
library · maturity maintenance
gpu-computing concurrency math gpu-computing developer-tools performance cpp cross-platform parallel-algorithms cuda stl-like archived nvidia hpc algorithms gpu
1 source
- readme: https://github.com/NVIDIA/thrust · fetched 2026-08-28 · b7ef3b6f7244
Member repositories
| Repository | Role | Health v2 |
|---|---|---|
| NVIDIA/thrust | main | 10 |
For agents
Data as of 2026-08-30T08:39:29.467469+00:00 · Report a problem