sbmvgpu: sbmvgpu

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

Description

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

Usage

sbmvgpu(fillmode = 1, k, 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 column by column, with the main diagonal of the matrix stored in row 1, the first subdiagonal in row 2 (starting at first position), the second subdiagonal in row 3 (starting at first position), etc. if fillmode == 2 then the symmetric banded matrix A is stored column by column, with the main diagonal of the matrix stored in row k+1, the first superdiagonal in row k (starting at second position), the second superdiagonal in row k-1 (starting at third position), etc.
k	number of subdiagonals
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

gemvgpu

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