The programming support for NVIDIA GPUs in Julia is provided by the CUDA.jl package. It is built on the CUDA toolkit and aims to be as full-featured and offer the same performance as CUDA C. The toolchain is mature, has been under development since 2014, and can easily be installed on any current version of Julia using the integrated package manager.

Features

  • The package can be installed with the Julia package manager
  • Julia support for native CUDA programming
  • Documentation available
  • Julia on the CPU is known for its good performance
  • User-friendly yet powerful abstraction that does not require any GPU programming experience

Project Samples

CUDAnative.jl Screenshot 1

Project Activity

See All Activity >

Categories

Data Visualization

License

MIT License

Follow CUDAnative.jl

CUDAnative.jl 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 CUDAnative.jl!

Additional Project Details

Programming Language

Julia

Related Categories

Julia Data Visualization Software

Registered

2023-11-09
Report inappropriate content