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
Categories
Data VisualizationLicense
MIT LicenseFollow CUDAnative.jl
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