R Observatory: Metrics for GPUmatrix version 1.0.3

Balamuta, James Joseph

doi:10.5281/zenodo.21843040

GPUmatrix

1.0.3Package record

Basic Linear Algebra with GPU

0packages depend

3.6Kdownloads / year

–test coverage

13/13flavors OK

Overview

About

Maintained by Angel RubioCRAN 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.

Changes in 1.0.3

Fixed bug in diag() method for gpu.matrix.torch objects.
Added documentation for dimnames<- method for gpu.matrix.torch.
Fixed Rd cross-references for Matrix-class and %&%.
Updated URLs.

From NEWS.md in the release

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. We list this channel from recorded r2u download activity rather than from a live index of the repository, so treat it as last known rather than guaranteed.

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). We list this channel from recorded autoCRAN download activity rather than from a live index of the repository, so treat it as last known rather than guaranteed.

Health

CRAN checks

13OK

CRAN check page ↗

Slowest check: 2.8 min · r-oldrel-windows-x86_64

Status changes

OK13 OK2026-08-05
NOTE12 OK, 1 NOTE2026-08-01
OK8 OK2026-03-27

Advisories

none known

How this is measured·How advisories are found

Documentation

In release 1.0.3

READMEYes · 3,693 wordsVignettesYes · 1 · dynamicNEWSYes · 67% structured · mentions 1.0.3Citation fileNoWebsitenot declared in DESCRIPTION

Help pages: 33
Examples that run: 14%4 run in a plain check · 25 never run
Exported functions with examples: 80%
Documented parameters: 83%
Return-value docs: 80%
Help pages citing references: 6%

Vignettes (1)

Get started with GPUmatrix package

How these are measured

Downloads

3.6K

CRAN downloads in the past year

Rank #7,172 · ~10/day · ~297/mo

Releases R versions

Daily download trend is not available in this view yet.

43930 days

1.2K90 days

3.6K1 year

Compare downloads with other packages →

Also on123 r2u6 autocran75 c2d4u

How downloads are counted

Dependencies

Declared dependencies

6 external dependencies (excludes base and recommended)

Installing GPUmatrix adds no packages beyond those that come with R.

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.

How these are counted

Code & Tests

People & History

People (3)

Angel Rubio

Author, Maintainer since 1.0.3 (2026)

Juan A.Ferrer-Bonsoms

Author

Cesar Lobato-Fernandez

Author, Contributor

Previously maintained by Cesar Lobato-Fernandez (0.1.0 to 1.0.2).

Releases (6)

Pick two releases to compare their code metrics.

R
R 4.6.0 released · 2026-04-24
unarchivedReturned to CRAN
2026-03-26
1.0.3Latest
record
2026-03-26 · current release · diff ↗ ·
removed 2 exports
NMFgpumatrix, LR_GradientConjugate_gpumatrix

added 6 exports
dtype<-, colMaxs, rowMaxs, rowRanks, to_dense, to_sparse
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
record
2024-03-01 · diff ↗
1.0.1
record
2023-12-01 · diff ↗
1.0.0
record
2023-11-27 · diff ↗ ·
added 4 exports
glm.fit.GPU, GPUglm, NMFgpumatrix, LR_GradientConjugate_gpumatrix
unarchivedReturned to CRAN
2023-10-16
0.1.1
record
2023-10-16 · diff ↗
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
record
2023-04-20
R
R 4.2.0 released · 2022-04-22

Package metadata

First published: 2023-04-20
Total releases: 6 / 3 yrs
License: Artistic-2.0 OSI
Minimum R: ≥ 4.1
Download size: 3.7 MB

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 package has no citation file, so citation() returns this entry built from DESCRIPTION.

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 v2026-10-22. https://doi.org/10.5281/zenodo.21843040

From data release v2026-10-22, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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