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gputools (version 1.1)
A Few GPU Enabled Functions
Description
Provides R interfaces to a handful of common functions implemented using the Nvidia CUDA toolkit. Some of the functions require at least GPU Compute Capability 1.3. Thanks to Craig Stark at UC Irvine for donating time on his lab's Mac.
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Install
install.packages('gputools')
Monthly Downloads
130
Version
1.1
License
GPL-3
Issues
10
Pull Requests
1
Stars
68
Forks
32
Repository
https://github.com/nullsatz/gputools/wiki
Maintainer
Josh Buckner
Last Published
October 26th, 2016
Functions in gputools (1.1)
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gpuCrossprod
Perform Matrix Cross-product with a GPU
cpuMatMult
Perform Matrix Multiplication
gpuGranger
Perform Granger Causality Tests for Vectors on a GPU
chooseGpu
Choose which GPU device to use
gpuHclust
Perform Hierarchical Clustering for Vectors with a GPU
gpuDistClust
Compute Distances and Hierarchical Clustering for Vectors on a GPU
getGpuId
Discover the Id of the current GPU device
gpuDist
Compute Distances Between Vectors on a GPU
gpuGlm
Fitting generalized linear models using GPU--enabled QR decomposition
gpuCor
Calculate Various Correlation Coefficients With a GPU
gpuQr
Estimate the QR decomposition for a matrix
gpuMi
B spline based mutual information
gpuLsfit
Least squares fit using GPU--enabled QR decomposition
gpuTcrossprod
Perform Matrix Transposed Cross-product with a GPU
gpuSolve
Estimate the solution to a matrix vector equation
gpuLm.defaultTol
Function to switch tolerance depending on precision
gpuTtest
T-Test Estimator with a GPU
gpuLm.fit
Fitter functions for gpu enabled linear models
gpuLm
Fitting Linear Models using a GPU--enabled QR
gpuMatMult
Perform Matrix Multiplication with a GPU