Boost.Compute VS CUB

Compare Boost.Compute vs CUB and see what are their differences.

CUB

THIS REPOSITORY HAS MOVED TO github.com/nvidia/cub, WHICH IS AUTOMATICALLY MIRRORED HERE. (by NVlabs)
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Boost.Compute CUB
- 1
1,506 78
1.1% -
0.0 2.7
16 days ago 3 months ago
C++ Cuda
Boost Software License 1.0 BSD 3-clause "New" or "Revised" License
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.

Boost.Compute

Posts with mentions or reviews of Boost.Compute. We have used some of these posts to build our list of alternatives and similar projects.

We haven't tracked posts mentioning Boost.Compute yet.
Tracking mentions began in Dec 2020.

CUB

Posts with mentions or reviews of CUB. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2023-01-20.

What are some alternatives?

When comparing Boost.Compute and CUB you can also consider the following projects:

Thrust - [ARCHIVED] The C++ parallel algorithms library. See https://github.com/NVIDIA/cccl

moodycamel - A fast multi-producer, multi-consumer lock-free concurrent queue for C++11

moderngpu - Patterns and behaviors for GPU computing

ArrayFire - ArrayFire: a general purpose GPU library.

C++React - C++React: A reactive programming library for C++11.

readerwriterqueue - A fast single-producer, single-consumer lock-free queue for C++

HPX - The C++ Standard Library for Parallelism and Concurrency

libmill - Go-style concurrency in C

Bolt - Bolt is a C++ template library optimized for GPUs. Bolt provides high-performance library implementations for common algorithms such as scan, reduce, transform, and sort.

NCCL - Optimized primitives for collective multi-GPU communication