symvgpu: symvgpu

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

Description

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

Usage

symvgpu(fillmode = 1, alpha = 1, A, x, beta = 0, y)

Arguments

fillmode	indicates if matrix A lower or upper part is stored, the other symmetric part is not referenced and is inferred from the stored elements. if fillmode == 1 then the symmetric banded matrix A is stored in lower mode if fillmode == 2 then the symmetric banded matrix A is stored in upper mode
alpha	scale factor a of symmetric 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

sbmvgpu

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