RayTracing VS Boost.Compute

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

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RayTracing Boost.Compute
1 -
297 1,497
- 0.7%
4.2 0.0
about 2 months ago 6 days ago
C++ C++
MIT License Boost Software License 1.0
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.

RayTracing

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

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.

What are some alternatives?

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

harfang3d - HARFANG 3D source code public repository

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

Cinder - Cross-platform, modular, extendable ray-tracer.

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

fast-voxel-traversal-algorithm - A C++ implementation of the fast voxel traversal algorithm.

ArrayFire - ArrayFire: a general purpose GPU library.

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

Yave - Yet Another Vulkan Engine

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

compute-runtime - Intel® Graphics Compute Runtime for oneAPI Level Zero and OpenCL™ Driver

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.