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
$300 Free Credits to Build on Google Cloud Icon
$300 Free Credits to Build on Google Cloud

New customers can spin up VMs, build with AI, and query data at no cost.

Put your $300 in credit toward real workloads, then keep building with free monthly usage for 20+ products. No commitment and no charge until you upgrade.
Start 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