bdCrossprod_Weighted: Matrix Crossprod with R-objects and Delayed Array Object

In BigDataStatMeth: Statistical Methods and Algorithms for Big Data

Matrix Crossprod with R-objects and Delayed Array Object

Description

This function performs a Crossproduct with weigths matrix t(A)

Usage

bdCrossprod_Weighted(A, W, block_size = NULL, paral = NULL, threads = NULL)

Arguments

A	a double matrix.
W	a Weighted matrix
block_size	(optional, defalut = 128) block size to make matrix multiplication, if 'block_size = 1' no block size is applied (size 1 = 1 element per block)
paral,	(optional, default = TRUE) if paral = TRUE performs parallel computation else performs seria computation
threads	(optional) only if bparal = true, number of concurrent threads in parallelization if threads is null then threads = maximum number of threads available

Value

Matrix with t(A)

Examples

# with numeric matrix
m <- 500
k <- 1500
n <- 400
A <- matrix(rnorm(n*k), nrow=n, ncol=k)
B <- matrix(rnorm(n*k), nrow=k, ncol=n)

# Serial execution
Serie <- bdCrossprod_Weighted(A, B, paral = FALSE)

# Parallel execution with 2 threads and blocks 256x256
Par_2cor <- bdCrossprod_Weighted(A, B, paral = TRUE, block_size = 256, threads = 2)

BigDataStatMeth documentation built on March 30, 2022, 1:07 a.m.