Other packages > Find by keyword >

MPCR  

Multi- And Mixed-Precision Computations
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("MPCR", "1.1.3")



Attach the package and use:
library("MPCR")
Maintained by
Sameh Abdulah
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2024-01-11
Latest Update: 2024-01-12
Description:
Designed for multi- and mixed-precision computations, accommodating 64-bit and 32-bit data structures. This flexibility enables fast execution across various applications. The package enhances performance by optimizing operations in both precision levels, which is achieved by integrating with high-speed 'BLAS' and 'LAPACK' libraries like 'MKL' and 'OpenBLAS'. Including a 32-bit option caters to applications where high precision is unnecessary, accelerating computational processes whenever feasible. The package also provides support for tile-based algorithms in three linear algebra operations: CHOL(), TRSM(), and GEMM(). The tile-based algorithm splits the matrix into smaller tiles, facilitating parallelization through a predefined Directed Acyclic Graph (DAG) for each operation. Enabling 'OpenMP' enhances the efficiency of these operations, leveraging multi-core parallelism. In this case, 'MPCR' facilitates mixed-precision execution by permitting varying precision levels for different tiles. This approach is advantageous in numerous applications, as it maintains the accuracy of the application while accelerating execution in scenarios where single-precision alone does not significantly affect the accuracy of the application.
How to cite:
Sameh Abdulah (2024). MPCR: Multi- And Mixed-Precision Computations. R package version 1.1.3, https://cran.r-project.org/web/packages/MPCR. Accessed 12 Nov. 2024.
Previous versions and publish date:
1.1.1 (2024-05-21 16:10), 1.1.2 (2024-05-29 00:20), 1.1 (2024-03-19 20:40)
Other packages that cited MPCR R package
View MPCR citation profile
Other R packages that MPCR depends, imports, suggests or enhances
Complete documentation for MPCR
Functions, R codes and Examples using the MPCR R package
Full MPCR package functions and examples
Downloads during the last 30 days
Get rewarded with contribution points by helping add
Reviews / comments / questions /suggestions ↴↴↴

Today's Hot Picks in Authors and Packages

snap  
Simple Neural Application
A simple wrapper to easily design vanilla deep neural networks using 'Tensorflow'/'Keras' backend fo ...
Download / Learn more Package Citations See dependency  
emIRT  
EM Algorithms for Estimating Item Response Theory Models
Various Expectation-Maximization (EM) algorithms are implemented for item response theory (IRT) mod ...
Download / Learn more Package Citations See dependency  
mmrm  
Mixed Models for Repeated Measures
Mixed models for repeated measures (MMRM) are a popular choice for analyzing longitudinal continuou ...
Download / Learn more Package Citations See dependency  
nextGenShinyApps  
Craft Exceptional 'R Shiny' Applications and Dashboards with Novel Responsive Tools
Nove responsive tools for designing and developing 'Shiny' dashboards and applications. The scripts ...
Download / Learn more Package Citations See dependency  
Relectoral  
Electoral Analysis
Functions to obtain an important number of electoral indicators described in the package, which can ...
Download / Learn more Package Citations See dependency  
visualize  
Graph Probability Distributions with User Supplied Parameters and Statistics
Graphs the pdf or pmf and highlights what area or probability is present in user defined locations. ...
Download / Learn more Package Citations See dependency  

23,171

R Packages

199,134

Dependencies

62,827

Author Associations

23,089

Publication Badges

© Copyright 2022 - present. All right reserved, rpkg.net.  Based in Cambridge, Massachusetts, USA