monolish  0.17.1
MONOlithic LInear equation Solvers for Highly-parallel architecture
Functions
monolish::blas::adds

element by element multiplication More...

Functions

void monolish::blas::adds (const double alpha, const matrix::Dense< double > &A, matrix::Dense< double > &C)
 Dense matrix adds: C = alpha + A. More...
 
void monolish::blas::adds (const double alpha, const tensor::tensor_Dense< double > &A, tensor::tensor_Dense< double > &C)
 tensor_Dense tensor adds: C = alpha + A More...
 
void monolish::blas::adds (const float alpha, const matrix::Dense< float > &A, matrix::Dense< float > &C)
 
void monolish::blas::adds (const float alpha, const tensor::tensor_Dense< float > &A, tensor::tensor_Dense< float > &C)
 

Detailed Description

element by element multiplication

Function Documentation

◆ adds() [1/4]

void monolish::blas::adds ( const double  alpha,
const matrix::Dense< double > &  A,
matrix::Dense< double > &  C 
)

Dense matrix adds: C = alpha + A.

Parameters
alphascalar value
ADense matrix (size M x N)
CDense matrix (size M x N)
Note
  • # of computation: MN
  • Multi-threading: true
  • GPU acceleration: true
    • # of data transfer: 0

◆ adds() [2/4]

void monolish::blas::adds ( const double  alpha,
const tensor::tensor_Dense< double > &  A,
tensor::tensor_Dense< double > &  C 
)

tensor_Dense tensor adds: C = alpha + A

Parameters
alphascalar value
Atensor_Dense tensor
Ctensor_Dense tensor
Note
  • # of computation: size
  • Multi-threading: true
  • GPU acceleration: true
    • # of data transfer: 0

◆ adds() [3/4]

void monolish::blas::adds ( const float  alpha,
const matrix::Dense< float > &  A,
matrix::Dense< float > &  C 
)

◆ adds() [4/4]

void monolish::blas::adds ( const float  alpha,
const tensor::tensor_Dense< float > &  A,
tensor::tensor_Dense< float > &  C 
)