gbmvgpu: gbmvgpu

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

Description

This function computes banded matrix-vector multipication y = a A x + b y by using CUDA cublas function cublasDgbmv

Usage

gbmvgpu(trans = 1, kl, ku, alpha = 1, A, x, beta = 0, y)

Arguments

trans	matrix A transpose operator, 1 (non-transpose), 2 (transpose), 3 (conjugate transpose); default at 1 (non-transpose)
kl	number of subdiagonals
ku	number of superdiagonals
alpha	scale factor a of banded matrix A; default 1
A	input matrix; list of R external GPU pointer and dimension
x	input vector; list of R external GPU pointer and dimension
beta	scale factor b of vector y; default 0
y	input/output vector; list of R external GPU pointer and dimension

Value

vector y, a list consisting of

• ptr: GPU pointer

• m: length of vector y

• n: 1

See Also

gergpu

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