Mousetrap.jl VS KernelAbstractions.jl

Compare Mousetrap.jl vs KernelAbstractions.jl and see what are their differences.

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Mousetrap.jl KernelAbstractions.jl
3 4
372 336
- 3.0%
9.4 7.9
3 months ago 10 days ago
Julia Julia
GNU Lesser General Public License v3.0 only 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.

Mousetrap.jl

Posts with mentions or reviews of Mousetrap.jl. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2023-08-19.

KernelAbstractions.jl

Posts with mentions or reviews of KernelAbstractions.jl. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2023-04-12.
  • Why is AMD leaving ML to nVidia?
    9 projects | /r/Amd | 12 Apr 2023
    For myself, I use Julia to write my own software (that is run on AMD supercomputer) on Fedora system, using 6800XT. For my experience, everything worked nicely. To install you need to install rocm-opencl package with dnf, AMD Julia package (AMDGPU.jl), add yourself to video group and you are good to go. Also, Julia's KernelAbstractions.jl is a good to have, when writing portable code.
  • Generic GPU Kernels
    7 projects | news.ycombinator.com | 6 Dec 2021
    >Higher level abstractions

    like these?

    https://github.com/JuliaGPU/KernelAbstractions.jl

  • Cuda.jl v3.3: union types, debug info, graph APIs
    8 projects | news.ycombinator.com | 13 Jun 2021
    For kernel programming, https://github.com/JuliaGPU/KernelAbstractions.jl (shortened to KA) is what the JuliaGPU team has been developing as a unified programming interface for GPUs of any flavor. It's not significantly different from the (basically identical) interfaces exposed by CUDA.jl and AMDGPU.jl, so it's easy to transition to. I think the event system in KA is also far superior to CUDA's native synchronization system, since it allows one to easily express graphs of dependencies between kernels and data transfers.

What are some alternatives?

When comparing Mousetrap.jl and KernelAbstractions.jl you can also consider the following projects:

Julia-Matlab-Benchmark - This repository is a place for accurate benchmarks between Julia and MATLAB and comparing the two.

GPUCompiler.jl - Reusable compiler infrastructure for Julia GPU backends.

CoherentNoise.jl - A comprehensive suite of coherent noise algorithms and composable tools for manipulating them.

ROCm - AMD ROCm™ Software - GitHub Home [Moved to: https://github.com/ROCm/ROCm]

swift-cross-ui - A cross-platform declarative UI framework, inspired by SwiftUI.

AMDGPU.jl - AMD GPU (ROCm) programming in Julia

DMARCParser.jl - 📦 Easily parse DMARC XML files into a more human-readable format with this high-performance Julia package.

StaticCompiler.jl - Compiles Julia code to a standalone library (experimental)

CImGui.jl - Julia wrapper for cimgui

oneAPI.jl - Julia support for the oneAPI programming toolkit.

Chain.jl - A Julia package for piping a value through a series of transformation expressions using a more convenient syntax than Julia's native piping functionality.

Agents.jl - Agent-based modeling framework in Julia