R Observatory: Metrics for GPUmatrix version 1.0.3

Balamuta, James Joseph

doi:10.5281/zenodo.21843040

GPUmatrix

1.0.3

Basic Linear Algebra with GPU

0packages depend

2.7Kdownloads / year

–test coverage

13/13checks pass

Overview

About

Maintained by Angel RubioFirst published 2026-03-266 releasesCRAN page ↗

GPUs are great resources for data analysis, especially in statistics and linear algebra. Unfortunately, very few packages connect R to the GPU, and none of them are transparent enough to run the computations on the GPU without substantial changes to the code. The maintenance of these packages is cumbersome: several of the earlier attempts have been removed from their respective repositories. It would be desirable to have a properly maintained R package that takes advantage of the GPU with minimal changes to the existing code. We have developed the 'GPUmatrix' package (available on CRAN). 'GPUmatrix' mimics the behavior of the Matrix package and extends R to use the GPU for computations. It includes single(FP32) and double(FP64) precision data types, and provides support for sparse matrices. It is easy to learn, and requires very few code changes to perform the operations on the GPU. 'GPUmatrix' relies on either the 'Torch' or 'Tensorflow' R packages to perform the GPU operations. We have demonstrated its usefulness for several statistical applications and machine learning applications: non-negative matrix factorization, logistic regression and general linear models. We have also included a comparison of GPU and CPU performance on different matrix operations.

Install

R (CRAN)Ubuntu (r2u)Fedora (COPR)openSUSE (OBS)

install.packages("GPUmatrix", repos = "https://cloud.r-project.org/")

Installs the current CRAN release. Prebuilt binaries on Windows and macOS.

Release

# enable cranapt (r2u) if it is not already set up, then install
grep -rqs r2u.stat.illinois.edu /etc/apt/sources.list /etc/apt/sources.list.d/ \
  || curl -fsSL https://raw.githubusercontent.com/eddelbuettel/r2u/master/inst/scripts/add_cranapt_noble.sh | sudo bash
sudo apt install -y r-cran-gpumatrix

Fast Ubuntu binaries via r2u (no compilation). The cranapt setup runs once and is skipped when it is already enabled.

bspm (used by r2u) also needs make: sudo apt install make

# enable the iucar/cran COPR if it is not already present, then install
ls /etc/yum.repos.d/*iucar*cran*.repo >/dev/null 2>&1 \
  || sudo dnf copr enable -y iucar/cran
sudo dnf install -y R-CRAN-GPUmatrix

RPMs from the iucar/cran COPR, rebuilt from CRAN.

For install.packages() integration in R, also: sudo dnf install R-CoprManager

# add the autoCRAN OBS repo (Tumbleweed) if it is missing, then install
zypper -q lr | grep -qi autoCRAN \
  || sudo zypper addrepo https://download.opensuse.org/repositories/devel:/languages:/R:/autoCRAN/openSUSE_Tumbleweed/devel:languages:R:autoCRAN.repo
sudo zypper install -y R-GPUmatrix

RPMs auto-built from CRAN on openSUSE OBS (Tumbleweed).

Health

CRAN checks

13OK

Slowest check: 2.7 min · r-oldrel-windows-x86_64

Code health

None

Tests · ratio 0.00

not tracked

Coverage

100%

Documentation · exports

2

Dependencies · direct

Check history

OK2026-08-05
13 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
NOTE2026-08-01
12 OK · 1 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
OK2026-03-27
8 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE

Documentation

READMEYes · 3,693 wordsVignettesYes · dynamicpkgdown siteNoNEWSYes · 67% structuredCode of conductNoContributing guideNo

Examples that run: 14%
Documented parameters: 83%
Return-value docs: 80%
References docs: 6%

Downloads

2.7K

CRAN downloads in the past year

Rank #6,211 · ~7/day · ~224/mo

Releases R versions

Daily download trend is not available in this view yet.

28630 days

1.3K90 days

2.7K1 year

Compare downloads with other packages →

Also on173 r2u28 autocran27 c2d4u

Dependencies

Declared dependencies

6 external dependencies (excludes base and recommended)

Depends (1)

R >= 4.1

Imports (2)

statsmethods

LinkingTo (0)

none

Suggests (8)

torch tensorflowMatrixmatrixStats floatMASSknitr rmarkdown

Enhances (0)

none

Dependency license breakdown →

Reverse dependencies

0direct

0indirect

Nothing depends on this yet.

Code & Tests

People & History

People (3)

Maintainer (1)

Angel Rubio

Author, Maintainer

Authors (3)

Angel Rubio

Author, Maintainer

Juan A.Ferrer-Bonsoms

Author

Cesar Lobato-Fernandez

Author, Contributor

Contributors (1)

Cesar Lobato-Fernandez

Author, Contributor

Package Timeline

6 releases. Pick two to compare their code metrics. R releases are shown for context.

R
R 4.6.0 released · 2026-04-24
1.0.3Latest
2026-03-26 · current release · diff ↗
unarchivedReturned to CRAN
2026-03-26
archivedRemoved from CRAN
2025-12-19
issues were not corrected despite reminders
R
R 4.5.0 released · 2025-04-11
R
R 4.4.0 released · 2024-04-24
1.0.2
2024-03-01 · diff ↗
1.0.1
2023-12-01 · diff ↗
1.0.0
2023-11-27 · diff ↗
0.1.1
2023-10-16 · diff ↗
unarchivedReturned to CRAN
2023-10-16
archivedRemoved from CRAN
2023-10-12
check problems were not corrected in time
R
R 4.3.0 released · 2023-04-21
0.1.0
2023-04-20
R
R 4.2.0 released · 2022-04-22

Package metadata

First published: 2026-03-26
Total releases: 6 / 1 yrs
License: Artistic-2.0 OSI
Minimum R: ≥ 4.1
Download size: 3.7 MB
Installed size: not tracked yet
With dependencies: not tracked yet

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("GPUmatrix")

Format

Rubio, A., A.Ferrer-Bonsoms, J., & Lobato-Fernandez, C. (2026). GPUmatrix: Basic Linear Algebra with GPU (Version 1.0.3) [Computer software]. https://doi.org/10.32614/CRAN.package.GPUmatrix

This is what citation() produces when a package has no citation file of its own. If it prints something else, use that.

Cite the R Observatory

For a number measured here: a download total, a coverage figure, an archival date.

Format

APA

Balamuta, J. J. (2026). R Observatory: Metrics for GPUmatrix version 1.0.3 [Data set]. HJJB, LLC. Data release v2026-08-23. https://doi.org/10.5281/zenodo.21843040

From data release v2026-08-23, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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