anvl: Accelerated Array Computing and Automatic Differentiation

Accelerated array computing and code transformations for R. Numerical programs operating on multi-dimensional arrays can be just-in-time compiled to optimized executables via 'XLA' – the same compiler that powers 'JAX' and 'TensorFlow' – and run on CPU or NVIDIA GPU from the same source. Also provides reverse-mode automatic differentiation, returning the gradient of a function as another R function.

Third-Party Licenses

The anvl package itself is MIT-licensed. The CUDA backend dynamically loads NVIDIA software which is not bundled with anvl, but downloaded from NVIDIA's official redistributable channels by the CUDA toolkit R package (e.g. cuda12.8) at install time. Its use is governed by the NVIDIA CUDA Toolkit EULA, with the exception of cuDNN, which is covered by the NVIDIA cuDNN SLA, and NCCL, which is covered by its own license. By installing or using the CUDA backend you accept those terms.

See also

Useful links:

• https://r-xla.github.io/anvl/

• https://github.com/r-xla/anvl

• Report bugs at https://github.com/r-xla/anvl/issues

Author

Maintainer: Sebastian Fischer seb.fischer@tutamail.com (ORCID)

Authors:

• Daniel Falbel daniel@posit.co (ORCID)

• Tomasz Kalinowski tomasz@posit.co

• Nikolai German niko.german@gmail.com (ORCID)