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cudaverse  

Lightweight 'CUDA' Numerical Computing
View on CRAN: Click here


Download and install cudaverse package within the R console
Install from CRAN:
install.packages("cudaverse")

Install from Github:
library("remotes")
install_github("cran/cudaverse")

Install by package version:
library("remotes")
install_version("cudaverse", "0.4.1")



Attach the package and use:
library("cudaverse")
Maintained by
Yaoxiang Li
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2026-09-10
Latest Update: 2026-09-10
Description:
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) <doi:10.1038/s41598-019-41695-z> and McInnes et al. (2018) <doi:10.21105/joss.00861>, respectively.
How to cite:
Yaoxiang Li (2026). cudaverse: Lightweight 'CUDA' Numerical Computing. R package version 0.4.1, https://cran.r-project.org/web/packages/cudaverse. Accessed 03 Oct. 2026.
Previous versions and publish date:
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Complete documentation for cudaverse
Functions, R codes and Examples using the cudaverse R package
Full cudaverse package functions and examples
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