cuBLAS

cuBLAS Library - APIs Examples

Description

This folder demonstrates cuBLAS APIs usage.

cuBLAS API Documentation

cuBLAS Samples

cuBLAS Level 1

• cuBLAS amax

  The sample finds the (smallest) index of the element of the maximum magnitude.

• cuBLAS amin

  The sample finds the (smallest) index of the element of the minimum magnitude.

• cuBLAS asum

  The sample computes the sum of the absolute values of the elements of vector x.

• cuBLAS axpy

  The sample computes a vector-scalar product and adds the result to a vector.

• cuBLAS copy

  The sample copies the vector x into the vector y.

• cuBLAS dot

  The sample applies the dot product to vector x and y.

• cuBLAS nrm2

  The sample computes the Euclidean norm of a vector.

• cuBLAS rot

  The sample applies the Givens rotation matrix to vector x and y.

• cuBLAS rotg

  The sample applies the Givens rotation matrix to vector x and y.

• cuBLAS rotm

  The sample applies the modified Givens rotation matrix to vector x and y.

• cuBLAS rotmg

  The sample applies the modified Givens rotation matrix to vector x and y.

• cuBLAS scal

  The sample computes the product of a vector by a scalar.

• cuBLAS swap

  The sample interchanges the elements of vector x and y.

cuBLAS Level 2

• cuBLAS gbmv

  The sample performs a banded matrix-vector multiplication.

• cuBLAS gemv

  The sample performs a matrix-vector multiplication.

• cuBLAS ger

  The sample performs a rank-1 update .

• cuBLAS sbmv

  The sample performs a symmetric banded matrix-vector multiplication.

• cuBLAS spmv

  The sample performs a performs the symmetric packed matrix-vector multiplication.

• cuBLAS spr

  The sample performs a packed symmetric rank-1 update.

• cuBLAS spr2

  The sample performs a packed symmetric rank-2 update.

• cuBLAS symv

  The sample performs a symmetric matrix-vector multiplication.

• cuBLAS syr

  The sample performs a symmetric rank-1 update.

• cuBLAS syr2

  The sample performs a symmetric rank-2 update.

• cuBLAS tbmv

  The sample performs a triangular banded matrix-vector multiplication.

• cuBLAS tbsv

  The sample solves a triangular banded linear system with a single right-hand-side.

• cuBLAS tpmv

  The sample performs a triangular packed matrix-vector multiplication.

• cuBLAS tpsv

  The sample solves a packed triangular linear system with a single right-hand-side.

• cuBLAS trmv

  The sample performs a triangular matrix-vector multiplication.

• cuBLAS trsv

  The sample solves a triangular linear system with a single right-hand-side.

• cuBLAS hemv

  The sample performs a Hermitian matrix-vector multiplication.

• cuBLAS hbmv

  The sample performs a Hermitian banded matrix-vector multiplication.

• cuBLAS hpmv

  The sample performs a Hermitian packed matrix-vector multiplication.

• cuBLAS her

  The sample performs a Hermitian rank-1 update.

• cuBLAS her2

  The sample performs a Hermitian rank-2 update.

• cuBLAS hpr

  The sample performs a packed Hermitian rank-1 update.

• cuBLAS hpr2

  The sample performs a packed Hermitian rank-2 update.

cuBLAS Level 3

• cuBLAS gemm

  The sample computes a matrix-matrix product with general matrices.

• cuBLAS gemm3m

  The sample computes matrix-matrix product with general matrices, using the Gauss complexity reduction algorithm.

• cuBLAS gemmBatched

  The sample computes batches of matrix-matrix product with general matrices.

• cuBLAS gemmStridedBatched

  The sample computes strided batches of matrix-matrix product with general matrices.

• cuBLAS hemm

  The sample computes a Hermitian matrix-matrix product.

• cuBLAS herk

  The sample computes a Hermitian rank-k update.

• cuBLAS her2k

  The sample computes a Hermitian rank-2k update.

• cuBLAS herkx

  The sample computes a variation of Hermitian rank-2k update.

• cuBLAS symm

  The sample computes a symmetric matrix-matrix product.

• cuBLAS syrk

  The sample computes a symmetric rank-k update.

• cuBLAS syrk

  The sample computes a symmetric rank-2k update.

• cuBLAS syrk

  The sample computes a variation of symmetric rank-2k update.

• cuBLAS trmm

  The sample computes a triangular matrix-matrix product.

• cuBLAS trsm

  The sample computes a triangular linear system with multiple right-hand-sides.

• cuBLAS trsmBatched

  The sample computes batched triangular linear systems with multiple right-hand-sides.

cuBLAS Extensions

• cuBLAS geam

  The sample computes a matrix-matrix addition/transposition.

• cuBLAS dgmm

  The sample computes a matrix-matrix multiplication.

• cuBLAS tpttr

  The sample computes a conversion from the triangular packed format to the triangular format.

• cuBLAS trttp

  The sample computes a conversion from the triangular format to the triangular packed format.

• cuBLAS AxpyEx

  The sample computes a vector-scalar product and adds the result to a vector.

• cuBLAS Cherk3mEx

  The sample computes a Hermitian rank-k update, using the Gauss complexity reduction algorithm.

• cuBLAS CherkEx

  The sample computes a Hermitian rank-k update.

• cuBLAS Csyrk3mEx

  The sample computes a symmetric rank-k update, using the Gauss complexity reduction algorithm.

• cuBLAS CsyrkEx

  The sample computes a symmetric rank-k update.

• cuBLAS DotEx

  The sample applies the dot product to vector x and y.

• cuBLAS GemmEx

  The sample computes a matrix-matrix product with general matrices.

• cuBLAS GemmBatchedEx

  The sample computes batches of matrix-matrix product with general matrices.

• cuBLAS GemmStridedBatchedEx

  The sample computes strided batches of matrix-matrix product with general matrices.

• cuBLAS Nrm2Ex

  The sample computes the Euclidean norm of a vector.

• cuBLAS RotEx

  The sample applies the Givens rotation matrix to vector x and y.

• cuBLAS ScalEx

  The sample computes the product of a vector by a scalar.