geamgpu: geamgpu

In yuanli22/RCUDA: GPU Enabled BLAS, LAPACK, Statistical Functions and Random Number Generators

Description

This function computes the matrix-matrix addition/trasportation C = a op ( A ) + b op ( B ) by using CUDA cublas function cublasDgeam

Usage

geamgpu(transa = 1, transb = 1, alpha = 1, A, B, beta = 0, C)

Arguments

transa	matrix A transpose operator, 1 (non-transpose), 2 (transpose), 3 (conjugate transpose); default at 1 (non-transpose)
transb	matrix B transpose operator, 1 (non-transpose), 2 (transpose), 3 (conjugate transpose); default at 1 (non-transpose)
alpha	scale factor a of matrix A; default 1
A	input matrix; list of R external GPU pointer and dimension
B	input matrix; list of R external GPU pointer and dimension
beta	scale factor b of matrix B; default 0
C	output matrix; list of R external GPU pointer and dimension

Value

updated matrix C, a list consisting of

• ptr: GPU pointer

• m: matrix C's number of rows

• n: matrix C's number of columns

See Also

gemvgpu

yuanli22/RCUDA documentation built on May 4, 2019, 6:35 p.m.