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clrng
View on CRAN: Click
here
Download and install clrng package within the R console
Install from CRAN:
install.packages("clrng")
Install from Github:
library("remotes")
install_github("cran/clrng")
Install by package version:
library("remotes")
install_version("clrng", "0.0.5")
Attach the package and use:
library("clrng")
Maintained by
Ruoyong Xu
[Scholar Profile | Author Map]
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2024-06-17
Latest Update: 2024-07-01
Description:
Builds on 'gpuR' and utilizes the 'clRNG' ('OpenCL') library to provide efficient tools to generate independent random numbers in parallel on a GPU and save the results as 'R' objects, ensuring high-quality random numbers even when 'R' is used interactively or in an ad-hoc manner. Includes Fisher's simulation method adapted from Patefield, William M (1981) <doi:10.2307/2346669> and 'MRG31k3p' Random Number Generator from 'clRNG' library by Advanced Micro Devices, Inc. (2015) <https://github.com/clMathLibraries/clRNG>.
How to cite:
Ruoyong Xu (2024). clrng: Parallel Random Number Generation on GPU. R package version 0.0.5, https://cran.r-project.org/web/packages/clrng. Accessed 17 Feb. 2025.
Previous versions and publish date:
0.0.3 (2024-06-17 17:40)
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