rng.cu File Reference

Uniform and Normal RNG Implemented in CUDA as device functions. More...

#include <stdio.h>
#include <stdlib.h>
#include <string.h>
#include <limits.h>
#include <math.h>
#include <unistd.h>
#include <fcntl.h>
#include <float.h>
#include <sys/time.h>

Defines
#define	BLOCK_X   16
#define	BLOCK_Y   16
Functions
__device__ float	d_randu (int *seed, int index)
__device__ float	d_randn (int *seed, int index)
int	main ()

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Detailed Description

Uniform and Normal RNG Implemented in CUDA as device functions.

Author:

Michael Trotter & Matt Goodrum

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Function Documentation

__device__ float d_randn	(	int *	seed,
		int	index
	)

Generates a normally (Gaussian) distributed number using the Box-Muller transformation

Parameters:

	seed	The provided seed array.
	index	The index within the seed array that will be modified as a result of this function

Returns:

A float in the range of FLOAT_MIN to FLOAT_MAX. This float is based on the modified seed value at index in the seed array.

See also:

http://en.wikipedia.org/wiki/Box-Muller_transform

__device__ float d_randu	(	int *	seed,
		int	index
	)

Generates a uniformly distributed number in the range of [0, 1) using the Linear Congruential Generator (LCG)

Parameters:

	seed	The provided seed array.
	index	The index within the seed array that will be modified by this function.

Returns:

A float in the range of [0,1). This float is based on the modified seed value at index in the seed array.

See also:

http://en.wikipedia.org/wiki/Linear_congruential_generator

Note:

GCC's values (M, A, C) for the LCG are used

int main

(

)

A simple main that demonstrates how to setup the seed array for use