Reusable compiler infrastructure for Julia GPU backends. This package offers reusable compiler infrastructure and tooling for implementing GPU compilers in Julia. It is not intended for end users! Instead, you should use one of the packages that builds on GPUCompiler.jl, such as CUDA.jl or AMDGPU.jl.

Features

  • Reusable compiler infrastructure
  • For Julia GPU backends
  • You should use one of the packages that builds on GPUCompiler.jl
  • Documentation available
  • Licensed under the MIT License

Project Samples

GPUCompiler.jl Screenshot 1

Project Activity

See All Activity >

Categories

Data Visualization

License

MIT License

Follow GPUCompiler.jl

GPUCompiler.jl Web Site

Other Useful Business Software
Award-Winning Medical Office Software Designed for Your Specialty Icon
Award-Winning Medical Office Software Designed for Your Specialty

Succeed and scale your practice with cloud-based, data-backed, AI-powered healthcare software.

RXNT is an ambulatory healthcare technology pioneer that empowers medical practices and healthcare organizations to succeed and scale through innovative, data-backed, AI-powered software.
Learn More
Rate This Project
Login To Rate This Project

User Reviews

Be the first to post a review of GPUCompiler.jl!

Additional Project Details

Programming Language

Julia

Related Categories

Julia Data Visualization Software

Registered

2023-11-28
Report inappropriate content