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pbdSLAP  

Programming with Big Data – Scalable Linear Algebra Packages
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("pbdSLAP", "0.3-7")



Attach the package and use:
library("pbdSLAP")
Maintained by
Wei-Chen Chen
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2012-10-13
Latest Update: 2023-03-10
Description:
Utilizing scalable linear algebra packages mainly including 'BLACS', 'PBLAS', and 'ScaLAPACK' in double precision via 'pbdMPI' based on 'ScaLAPACK' version 2.0.2.
How to cite:
Wei-Chen Chen (2012). pbdSLAP: Programming with Big Data – Scalable Linear Algebra Packages. R package version 0.3-7, https://cran.r-project.org/web/packages/pbdSLAP. Accessed 22 Dec. 2024.
Previous versions and publish date:
0.1-0 (2012-10-13 14:10), 0.1-1 (2012-11-30 18:28), 0.1-2 (2012-12-20 09:22), 0.1-3 (2013-01-01 21:11), 0.1-4 (2013-02-15 06:02), 0.1-5 (2013-03-12 07:45), 0.1-6 (2013-07-05 07:36), 0.1-7 (2014-01-27 17:34), 0.1-8 (2014-03-11 15:23), 0.1-9 (2014-05-31 23:12), 0.2-0 (2014-12-24 06:12), 0.2-1 (2016-01-22 10:26), 0.2-2 (2016-09-25 08:05), 0.2-3 (2018-01-05 10:32), 0.2-4 (2018-04-05 19:14), 0.2-5 (2019-04-08 07:00), 0.2-6 (2019-06-24 08:00), 0.2-7 (2019-12-13 06:40), 0.2-8 (2020-01-12 07:00), 0.2-9 (2020-02-01 16:50), 0.3-0 (2020-02-28 13:10), 0.3-1 (2021-06-14 16:20), 0.3-2 (2022-02-04 11:30), 0.3-3 (2022-10-26 12:42), 0.3-4 (2023-03-10 19:10), 0.3-5 (2024-01-13 22:50), 0.3-6 (2024-10-30 17:10)
Other packages that cited pbdSLAP R package
View pbdSLAP citation profile
Other R packages that pbdSLAP depends, imports, suggests or enhances
Complete documentation for pbdSLAP
Functions, R codes and Examples using the pbdSLAP R package
Some associated functions: 00_pbdSLAP-package . slap_gridinfo . 
Some associated R codes: Full pbdSLAP package functions and examples
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