monolish  0.16.2
MONOlithic LInear equation Solvers for Highly-parallel architecture
Functions
monolish::blas::asum

vector absolute sum More...

Functions

double monolish::blas::asum (const vector< double > &x)
 vector absolute sum More...
 
void monolish::blas::asum (const vector< double > &x, double &ans)
 vector absolute sum More...
 
float monolish::blas::asum (const vector< float > &x)
 
void monolish::blas::asum (const vector< float > &x, float &ans)
 
double monolish::blas::asum (const view1D< matrix::Dense< double >, double > &x)
 
void monolish::blas::asum (const view1D< matrix::Dense< double >, double > &x, double &ans)
 
float monolish::blas::asum (const view1D< matrix::Dense< float >, float > &x)
 
void monolish::blas::asum (const view1D< matrix::Dense< float >, float > &x, float &ans)
 
double monolish::blas::asum (const view1D< vector< double >, double > &x)
 
void monolish::blas::asum (const view1D< vector< double >, double > &x, double &ans)
 
float monolish::blas::asum (const view1D< vector< float >, float > &x)
 
void monolish::blas::asum (const view1D< vector< float >, float > &x, float &ans)
 

Detailed Description

vector absolute sum

Function Documentation

◆ asum() [1/12]

double monolish::blas::asum ( const vector< double > &  x)

vector absolute sum

Parameters
xmonolish vector (size N)
Returns
The result of the asum
Note
  • # of computation: N
  • Multi-threading: true
  • GPU acceleration: true
    • # of data transfer: 0

◆ asum() [2/12]

void monolish::blas::asum ( const vector< double > &  x,
double &  ans 
)

vector absolute sum

Parameters
xmonolish vector (size N)
ansThe result of the asum
Note
  • # of computation: N
  • Multi-threading: true
  • GPU acceleration: true
    • # of data transfer: 0

◆ asum() [3/12]

float monolish::blas::asum ( const vector< float > &  x)

◆ asum() [4/12]

void monolish::blas::asum ( const vector< float > &  x,
float &  ans 
)

◆ asum() [5/12]

double monolish::blas::asum ( const view1D< matrix::Dense< double >, double > &  x)

◆ asum() [6/12]

void monolish::blas::asum ( const view1D< matrix::Dense< double >, double > &  x,
double &  ans 
)

◆ asum() [7/12]

float monolish::blas::asum ( const view1D< matrix::Dense< float >, float > &  x)

◆ asum() [8/12]

void monolish::blas::asum ( const view1D< matrix::Dense< float >, float > &  x,
float &  ans 
)

◆ asum() [9/12]

double monolish::blas::asum ( const view1D< vector< double >, double > &  x)

◆ asum() [10/12]

void monolish::blas::asum ( const view1D< vector< double >, double > &  x,
double &  ans 
)

◆ asum() [11/12]

float monolish::blas::asum ( const view1D< vector< float >, float > &  x)

◆ asum() [12/12]

void monolish::blas::asum ( const view1D< vector< float >, float > &  x,
float &  ans 
)