Reusable GPU array functionality for Julia's various GPU backends. This package is the counterpart of Julia's AbstractArray interface, but for GPU array types: It provides functionality and tooling to speed-up development of new GPU array types. This package is not intended for end users! Instead, you should use one of the packages that builds on GPUArrays.jl, such as CUDA.jl, oneAPI.jl, AMDGPU.jl, or Metal.jl.

Features

  • This package is the counterpart of Julia's AbstractArray interface
  • It provides functionality and tooling to speed-up development of new GPU array types
  • This package is not intended for end users!
  • You should use one of the packages that builds on GPUArrays.jl
  • CUDA.jl, oneAPI.jl, AMDGPU.jl, or Metal.jl

Project Samples

Project Activity

See All Activity >

License

MIT License

Follow GPUArrays

GPUArrays Web Site

Other Useful Business Software
Go From AI Idea to AI App Fast Icon
Go From AI Idea to AI App Fast

One platform to build, fine-tune, and deploy ML models. No MLOps team required.

Access Gemini 3 and 200+ models. Build chatbots, agents, or custom models with built-in monitoring and scaling.
Try Free
Rate This Project
Login To Rate This Project

User Reviews

Be the first to post a review of GPUArrays!

Additional Project Details

Programming Language

Julia

Related Categories

Julia Data Visualization Software

Registered

2023-11-14