utils_x86.h File Reference

Header file for using utility modules from CPU/MIC source codes. More...

Go to the source code of this file.

Functions
void	dlarnv_ (int *, int *, int *, double *)
void	slarnv_ (int *, int *, int *, float *)
void	dmemset_x86 (const int n, double *__restrict__ x, const double val)
	This function fills all positions of x with val. More...
void	smemset_x86 (const int n, float *__restrict__ x, const float val)
	This function fills all positions of x with val. More...
void	ddiv_x86 (const int n, const double *x, double *__restrict__ y)
	This function calls the appropiate funtions to performs double precision element-wise y[i]=x[i]/y[i] for all positions of x and y. More...
void	sdiv_x86 (const int n, const float *x, float *__restrict__ y)
	This function calls the appropiate funtions to performs simple precision element-wise x[i]=x[i]/y[i] for all positions of x and y. More...
void	dsub_x86 (const int n, const double *x, double *__restrict__ y)
	This function performs double precision element-wise substraction y[i]=x[i]-y[i]. More...
void	ssub_x86 (const int n, const float *x, float *__restrict__ y)
	This function performs simple precision element-wise substraction y[i]=x[i]-y[i]. More...
void	dlarngenn_x86 (const int m, const int n, const int seed, double *X)
	dlarngenn_x86 returns an (m x n) random double precision matrix. An uniform (0, 1) distribution is used to generate the values More...
void	slarngenn_x86 (const int m, const int n, const int seed, float *X)
	slarngenn_x86 returns an (m x n) random simple precision matrix. An uniform (0, 1) distribution is used to generate the values More...
double	derror_x86 (const int m, const int n, const int k, const double *A, const double *W, const double *H)
	derror_x86 returns double precision "2norm(A - WH) / sqrt(m x n)" More...
float	serror_x86 (const int m, const int n, const int k, const float *A, const float *W, const float *H)
	serror_x86 returns simple precision "2norm(A - WH) / sqrt(m x n)" More...

Detailed Description

Header file for using utility modules from CPU/MIC source codes.

Author

Information Retrieval and Parallel Computing Group (IRPCG)

University of Oviedo, Spain

Interdisciplinary Computation and Communication Group (INCO2)

Universitat Politecnica de Valencia, Spain.

Contact: nnmfp.nosp@m.ack@.nosp@m.gmail.nosp@m..com

Date

04/011/14

Definition in file utils_x86.h.

Function Documentation

ddiv_x86()

void ddiv_x86	(	const int	n,
		const double *	x,
		double *__restrict__	y
	)

This function calls the appropiate funtions to performs double precision element-wise y[i]=x[i]/y[i] for all positions of x and y.

Parameters

n	(input) Number of elements of x and y
x	(input) Double precision input vector/matrix (1D column-major)
y	(inout) Double precision input/output vector/ matrix (1D column-major)

Definition at line 91 of file utils_x86.c.

derror_x86()

double derror_x86	(	const int	m,
		const int	n,
		const int	k,
		const double *	A,
		const double *	W,
		const double *	H
	)

derror_x86 returns double precision "2norm(A - WH) / sqrt(m x n)"

Parameters

m	(input) Number of rows of matrix A and number of rows of W
n	(input) Number of columns of matrix A and number of columns of H
k	(input) Number of columns of matrix W and number of rows of H
A	(input) Double precision matrix, dimension (m x n), 1D layout column major
W	(input) Double precision matrix, dimension (m x k), 1D layout column major
H	(input) Double precision matrix, dimension (k x n), 1D layout column major

Definition at line 283 of file utils_x86.c.

dlarngenn_x86()

void dlarngenn_x86	(	const int	m,
		const int	n,
		const int	seed,
		double *	X
	)

dlarngenn_x86 returns an (m x n) random double precision matrix. An uniform (0, 1) distribution is used to generate the values

Parameters

m	(input) Number of rows of matrix X
n	(input) Number of columns of matrix X
seed	(input) Initial seed for the random numbers
X	(output) Double precision matrix (1D column major)

Definition at line 220 of file utils_x86.c.

dlarnv_()

void dlarnv_	(	int *	,
		int *	,
		int *	,
		double *
	)

dmemset_x86()

void dmemset_x86	(	const int	n,
		double *__restrict__	x,
		const double	val
	)

This function fills all positions of x with val.

Parameters

n	(input) Number of elements of x
x	(output) Double precision output matrix (1D column-major) or vector
val	(input) Double precision value

Definition at line 42 of file utils_x86.c.

dsub_x86()

void dsub_x86	(	const int	n,
		const double *	x,
		double *__restrict__	y
	)

This function performs double precision element-wise substraction y[i]=x[i]-y[i].

Parameters

n	(input) Number of elements of x and y
x	(input) Double precision input vector/matrix (1D column-major)
y	(inout) Double precision input/output vector/matrix (1D column-major)

Definition at line 162 of file utils_x86.c.

sdiv_x86()

void sdiv_x86	(	const int	n,
		const float *	x,
		float *__restrict__	y
	)

This function calls the appropiate funtions to performs simple precision element-wise x[i]=x[i]/y[i] for all positions of x and y.

Parameters

n	(input) Number of elements of x and y
x	(input) Simple precision input vector/matrix (1D column-major)
y	(inout) Simple precision input/output vector/ matrix (1D column-major)

Definition at line 127 of file utils_x86.c.

serror_x86()

float serror_x86	(	const int	m,
		const int	n,
		const int	k,
		const float *	A,
		const float *	W,
		const float *	H
	)

serror_x86 returns simple precision "2norm(A - WH) / sqrt(m x n)"

Parameters

m	(input) Number of rows of matrix A and number of rows of W
n	(input) Number of columns of matrix A and number of columns of H
k	(input) Number of columns of matrix W and number of rows of H
A	(input) Simple precision matrix, dimension (m x n), 1D layout column major
W	(input) Simple precision matrix, dimension (m x k), 1D layout column major
H	(input) Simple precision matrix, dimension (k x n), 1D layout column major

Definition at line 329 of file utils_x86.c.

slarngenn_x86()

void slarngenn_x86	(	const int	m,
		const int	n,
		const int	seed,
		float *	X
	)

slarngenn_x86 returns an (m x n) random simple precision matrix. An uniform (0, 1) distribution is used to generate the values

Parameters

m	(input) Number of rows of matrix X
n	(input) Number of columns of matrix X
seed	(input) Initial seed for the random numbers
X	(output) Simple precision matrix (1D column major)

Definition at line 251 of file utils_x86.c.

slarnv_()

void slarnv_	(	int *	,
		int *	,
		int *	,
		float *
	)

smemset_x86()

void smemset_x86	(	const int	n,
		float *__restrict__	x,
		const float	val
	)

This function fills all positions of x with val.

Parameters

n	(input) Number of elements of x
x	(output) Simple precision output matrix (1D column-major) or vector
val	(input) Simple precision value

Definition at line 66 of file utils_x86.c.

ssub_x86()

void ssub_x86	(	const int	n,
		const float *	x,
		float *__restrict__	y
	)

This function performs simple precision element-wise substraction y[i]=x[i]-y[i].

Parameters

n	(input) Number of elements of x and y
x	(input) Simple precision input vector/matrix (1D column-major)
y	(inout) Simple precision input/output vector/matrix (1D column-major)

Definition at line 190 of file utils_x86.c.