matprod.par: Parallel calculation
In samiaittilat/Logistic-Regression-from-scratch-in-R: Project R SISE 2021 2022
Description
Usage
Arguments
Details
Author(s)
Examples
Description
Matrix calculation parallel execution
Usage
1
matprod.par(cl, A, B)
Arguments
cl
integer, number of cluster
A
Matrix
B
Matrix
Details
The idea is that we will distribute the rows of a matrix A for example
on the cores and we will make the matrix product of each group of
rows with another matrix B
Author(s)
Sami Ait Tilat, Afaf Ben Haj, Marie Vachet
Examples
1
2
3
4
5
6
7
8
## Not run:
ncores=8
cl <- makeCluster(ncores)
A <- matrix(round(rnorm(16^2),1),16)
B <- t(A)+4
matprod.par(cl,A,B)
## End(Not run)
samiaittilat/Logistic-Regression-from-scratch-in-R documentation built on Dec. 22, 2021, 10:11 p.m.
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Description Usage Arguments Details Author(s) Examples
Description
Matrix calculation parallel execution
Usage
1 | matprod.par(cl, A, B)
|
Arguments
cl |
integer, number of cluster |
A |
Matrix |
B |
Matrix |
Details
The idea is that we will distribute the rows of a matrix A for example on the cores and we will make the matrix product of each group of rows with another matrix B
Author(s)
Sami Ait Tilat, Afaf Ben Haj, Marie Vachet
Examples
1 2 3 4 5 6 7 8 | ## Not run:
ncores=8
cl <- makeCluster(ncores)
A <- matrix(round(rnorm(16^2),1),16)
B <- t(A)+4
matprod.par(cl,A,B)
## End(Not run)
|
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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