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# CITATION.cff file created with {cffr} R package
# See also: https://docs.ropensci.org/cffr/
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cff-version: 1.2.0
message: 'To cite package "cudaverse" in publications use:'
type: software
license: MIT
title: 'cudaverse: Lightweight ''CUDA'' Numerical Computing'
version: 0.4.1.9000
doi: 10.32614/CRAN.package.cudaverse
abstract: Provides a lightweight interface to graphics processing unit (GPU)-accelerated
  numerical computing using 'CUDA'. Dense tensors, sparse matrices, decompositions,
  distances, exact nearest neighbours, clustering, graph workflows, and embeddings
  share one consistent interface. The native backend discovers the 'NVIDIA CUDA Driver
  API', 'cuBLAS', and 'cuSOLVER' libraries at runtime without bundling 'LibTorch'
  or the 'CUDA Runtime'. Stage-level provenance records the backend, device, and data
  transfers used by each result. A portable implementation supports package validation
  on systems without 'CUDA'. Background for the included Leiden community detection
  and uniform manifold approximation and projection methods is given by Traag, Waltman
  and van Eck (2019) <https://doi.org/10.1038/s41598-019-41695-z> and McInnes et al.
  (2018) <https://doi.org/10.21105/joss.00861>, respectively.
authors:
- family-names: Li
  given-names: Yaoxiang
  email: liyaoxiang@outlook.com
repository: https://cudaverse.r-universe.dev
repository-code: https://github.com/cudaverse/cudaverse
commit: f93361d40d3b6f035b1494cfb968de679b165cd6
url: https://cudaverse.github.io/cudaverse/
date-released: '2026-10-13'
contact:
- family-names: Li
  given-names: Yaoxiang
  email: liyaoxiang@outlook.com