vuh VS clvk

Compare vuh vs clvk and see what are their differences.

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vuh clvk
3 4
340 313
- -
2.8 8.8
6 months ago 12 days ago
C++ C++
MIT License Apache License 2.0
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.

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.

clvk

Posts with mentions or reviews of clvk. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2022-01-12.
  • LangChain / LlamaCpp on M1 GPU (MPS)?
    1 project | /r/LangChain | 20 May 2023
    I tried very similar thing. My purpose was to run llama-cpp-python with CLBlast GPU acceleration via clvk on VulkanSDK on my M1 Max computer. I downloaded VulkanSDK for macOS, cloned clvk(https://github.com/kpet/clvk) and CLBlast. Build was successful but there is a problem; when clCreateCommandQueue function was called with CL_QUEUE_OUT_OF_ORDER_EXEC_MODE_ENABLE option(in ggml-opencl.c of llama.cpp) , an error was happened and I do not know how to handle it.
  • Resources for Vulkan GPGPU searched
    6 projects | /r/vulkan | 12 Jan 2022
  • Cross Platform GPU-Capable Framework?
    6 projects | /r/gpgpu | 1 Aug 2021
    OpenCL really is your best bet for a cross-platform GPU-capable framework. OpenCL 3.0 cleared out a lot of the cruft from OpenCL 2.x so it's seeing a lot more adoption. The most cross-platform solution is still OpenCL 1.2, largely for MacOS, but OpenCL 3.0 is becoming more and more common for Windows and Linux and multiple devices. Even on platforms without native OpenCL support there are compatibility layers that implement OpenCL on top of DirectX (OpenCLOn12) or Vulkan (clvk and clspv).
  • How does GPU programming work?
    2 projects | /r/GraphicsProgramming | 25 Dec 2020
    What we really need is CLVK, but it seems pretty limited. I'd prefer a clang based compiler which can accept opencl c++ personally, because a brand new compiler is not ideal

What are some alternatives?

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

ocl - OpenCL for Rust

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

GLSL - GLSL Shading Language Issue Tracker

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.

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

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.

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

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