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

GPUArrays Screenshot 1

Project Activity

See All Activity >

Categories

Data Visualization

License

MIT License

Follow GPUArrays

GPUArrays Web Site

Other Useful Business Software
$300 Free Credits for Your Google Cloud Projects Icon
$300 Free Credits for Your Google Cloud Projects

Start building on Google Cloud with $300 in free credits. No commitment, no credit card required until you're ready to scale.

Launch your next project with $300 in free Google Cloud credits—no strings attached. Test, build, and deploy without risk. Use your credits across the entire Google Cloud platform to find what works best for your needs. After your credits are used, continue with always-free tier services. Only pay when you're ready to scale. Sign up in minutes and start exploring.
Start Free Trial
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
Report inappropriate content