gpu_opencl.h File Reference

#include <stdlib.h>
#include <assert.h>
#include <math.h>
#include <stdio.h>
#include <time.h>
#include <pthread.h>
#include <string.h>
#include <sched.h>
#include <omp.h>
#include "util.h"
#include "global.h"
#include "../../../include/opencl.h"
#include "../../../include/util.h"
#include "../../../include/float.h"

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Macros
#define	STR_HELPER(x)   #x
#define	STR(x)   STR_HELPER(x)
#define	WORKGROUP_SIZE   256

Functions
void	init_gpu (BRUTE_RECORD *brute_record, BRUTE_PARAMETERS *params)
void	fit_gpu (FLOAT_TYPE *X, int nX, int dX, BRUTE_RECORD *brute_record, BRUTE_PARAMETERS *params)
void	free_resources_gpu (BRUTE_RECORD *brute_record, BRUTE_PARAMETERS *params)
void	neighbors_gpu (FLOAT_TYPE *Xtest, int nXtest, int dXtest, FLOAT_TYPE *d_mins, int *idx_mins, BRUTE_RECORD *brute_record, BRUTE_PARAMETERS *params)

Macro Definition Documentation

#define STR

(

x

)

STR_HELPER(x)

#define STR_HELPER

(

x

)

#x

#define WORKGROUP_SIZE   256

Function Documentation

void fit_gpu	(	FLOAT_TYPE *	X,
		int	nX,
		int	dX,
		BRUTE_RECORD *	brute_record,
		BRUTE_PARAMETERS *	params
	)

Fits a model given the training data (and parameters)

Parameters

*X	Array containing the training patterns
nX	Number of patterns
dX	Dimensionality of patterns
*brute_record	Pointer to struct containing the model
*params	Pointer to struct containing the parameters

void free_resources_gpu	(	BRUTE_RECORD *	brute_record,
		BRUTE_PARAMETERS *	params
	)

Does some clean up (before exiting the program).

Parameters

*brute_record	Pointer to struct containing the model
*params	Pointer to struct containing the parameters

void init_gpu	(	BRUTE_RECORD *	brute_record,
		BRUTE_PARAMETERS *	params
	)

Initializes components if needed.

Parameters

*brute_record	Pointer to struct containing the model
*params	Pointer to struct containing the parameters

void neighbors_gpu	(	FLOAT_TYPE *	Xtest,
		int	nXtest,
		int	dXtest,
		FLOAT_TYPE *	d_mins,
		int *	idx_mins,
		BRUTE_RECORD *	brute_record,
		BRUTE_PARAMETERS *	params
	)

Computes the predictions (for test patterns)

Parameters

*Xtest	Array of test patterns
nXest	Number of test patterns
dXtest	Dimensionality of test patterns
*d_mins	Array to store all distances
*idx_mins	Array for storing all indices
*brute_record	Pointer to struct containing the model
*params	Pointer to struct containing the parameters