GLSL VS vuh

Compare GLSL vs vuh and see what are their differences.

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GLSL vuh
27 3
316 340
1.3% -
6.0 2.8
about 2 months ago 7 months ago
C++
- MIT 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.

GLSL

Posts with mentions or reviews of GLSL. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2023-05-26.

vuh

Posts with mentions or reviews of vuh. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2022-01-12.

What are some alternatives?

When comparing GLSL and vuh you can also consider the following projects:

clspv - Clspv is a compiler for OpenCL C to Vulkan compute shaders

ocl - OpenCL for Rust

Rust-CUDA - Ecosystem of libraries and tools for writing and executing fast GPU code fully in Rust.

uVkCompute - A micro Vulkan compute pipeline and a collection of benchmarking compute shaders

rust-gpu - 🐉 Making Rust a first-class language and ecosystem for GPU shaders 🚧

VkFFT - Vulkan/CUDA/HIP/OpenCL/Level Zero/Metal Fast Fourier Transform library

liblava - Modern and easy-to-use library for Vulkan

alpaka - Abstraction Library for Parallel Kernel Acceleration :llama:

cuda-api-wrappers - Thin C++-flavored header-only wrappers for core CUDA APIs: Runtime, Driver, NVRTC, NVTX.

build_all - GO HERE FIRST: nvpro-samples overview

kompute - General purpose GPU compute framework built on Vulkan to support 1000s of cross vendor graphics cards (AMD, Qualcomm, NVIDIA & friends). Blazing fast, mobile-enabled, asynchronous and optimized for advanced GPU data processing usecases. Backed by the Linux Foundation.