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kernels.c
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kernels.c
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/********************************************************
* Kernels to be optimized for the CS:APP Performance Lab
********************************************************/
#include <stdio.h>
#include <stdlib.h>
#include "defs.h"
/*
* Please fill in the following team struct
*/
team_t team = {
"longlivezhangzj", /* Team name */
"Kefan Dong", /* First member full name */
"kefandong@gmail.com", /* First member email address */
"", /* Second member full name (leave blank if none) */
"" /* Second member email addr (leave blank if none) */
};
/***************
* ROTATE KERNEL
***************/
/******************************************************
* Your different versions of the rotate kernel go here
******************************************************/
/*
* naive_rotate - The naive baseline version of rotate
*/
char naive_rotate_descr[] = "naive_rotate: Naive baseline implementation";
void naive_rotate(int dim, pixel *src, pixel *dst)
{
int i, j;
for (i = 0; i < dim; i++)
for (j = 0; j < dim; j++)
dst[RIDX(dim-1-j, i, dim)] = src[RIDX(i, j, dim)];
}
/*
* rotate - Your current working version of rotate
* IMPORTANT: This is the version you will be graded on
*/
char rotate_descr[] = "rotate: Current working version";
int gcd(int a, int b) { return b == 0 ? a : gcd(b, a % b); }
void rotate(int dim, pixel *src, pixel *dst)
{
int i, j;
for (i = 0; i < dim; i += 16)
for (j = 0; j < dim; j++) {
dst[RIDX(dim-1-j, i + 0, dim)] = src[RIDX(i + 0, j, dim)];
dst[RIDX(dim-1-j, i + 1, dim)] = src[RIDX(i + 1, j, dim)];
dst[RIDX(dim-1-j, i + 2, dim)] = src[RIDX(i + 2, j, dim)];
dst[RIDX(dim-1-j, i + 3, dim)] = src[RIDX(i + 3, j, dim)];
dst[RIDX(dim-1-j, i + 4, dim)] = src[RIDX(i + 4, j, dim)];
dst[RIDX(dim-1-j, i + 5, dim)] = src[RIDX(i + 5, j, dim)];
dst[RIDX(dim-1-j, i + 6, dim)] = src[RIDX(i + 6, j, dim)];
dst[RIDX(dim-1-j, i + 7, dim)] = src[RIDX(i + 7, j, dim)];
dst[RIDX(dim-1-j, i + 8, dim)] = src[RIDX(i + 8, j, dim)];
dst[RIDX(dim-1-j, i + 9, dim)] = src[RIDX(i + 9, j, dim)];
dst[RIDX(dim-1-j, i + 10, dim)] = src[RIDX(i + 10, j, dim)];
dst[RIDX(dim-1-j, i + 11, dim)] = src[RIDX(i + 11, j, dim)];
dst[RIDX(dim-1-j, i + 12, dim)] = src[RIDX(i + 12, j, dim)];
dst[RIDX(dim-1-j, i + 13, dim)] = src[RIDX(i + 13, j, dim)];
dst[RIDX(dim-1-j, i + 14, dim)] = src[RIDX(i + 14, j, dim)];
dst[RIDX(dim-1-j, i + 15, dim)] = src[RIDX(i + 15, j, dim)];
}
/*
int szi = gcd(32, dim), szj = gcd(64, dim);
if (dim == 1024) szi = 16;
int i, j, bi, bj;
if (szi == 32) {
for (bj = 0; bj < dim; bj += szj)
for (bi = 0; bi < dim; bi += szi)
for (j = bj; j < bj + szj; j++)
{
i=bi;
dst[RIDX(dim-1-j, i + 0, dim)] = src[RIDX(i + 0, j, dim)];
dst[RIDX(dim-1-j, i + 1, dim)] = src[RIDX(i + 1, j, dim)];
dst[RIDX(dim-1-j, i + 2, dim)] = src[RIDX(i + 2, j, dim)];
dst[RIDX(dim-1-j, i + 3, dim)] = src[RIDX(i + 3, j, dim)];
dst[RIDX(dim-1-j, i + 4, dim)] = src[RIDX(i + 4, j, dim)];
dst[RIDX(dim-1-j, i + 5, dim)] = src[RIDX(i + 5, j, dim)];
dst[RIDX(dim-1-j, i + 6, dim)] = src[RIDX(i + 6, j, dim)];
dst[RIDX(dim-1-j, i + 7, dim)] = src[RIDX(i + 7, j, dim)];
dst[RIDX(dim-1-j, i + 8, dim)] = src[RIDX(i + 8, j, dim)];
dst[RIDX(dim-1-j, i + 9, dim)] = src[RIDX(i + 9, j, dim)];
dst[RIDX(dim-1-j, i + 10, dim)] = src[RIDX(i + 10, j, dim)];
dst[RIDX(dim-1-j, i + 11, dim)] = src[RIDX(i + 11, j, dim)];
dst[RIDX(dim-1-j, i + 12, dim)] = src[RIDX(i + 12, j, dim)];
dst[RIDX(dim-1-j, i + 13, dim)] = src[RIDX(i + 13, j, dim)];
dst[RIDX(dim-1-j, i + 14, dim)] = src[RIDX(i + 14, j, dim)];
dst[RIDX(dim-1-j, i + 15, dim)] = src[RIDX(i + 15, j, dim)];
dst[RIDX(dim-1-j, i + 16, dim)] = src[RIDX(i + 16, j, dim)];
dst[RIDX(dim-1-j, i + 17, dim)] = src[RIDX(i + 17, j, dim)];
dst[RIDX(dim-1-j, i + 18, dim)] = src[RIDX(i + 18, j, dim)];
dst[RIDX(dim-1-j, i + 19, dim)] = src[RIDX(i + 19, j, dim)];
dst[RIDX(dim-1-j, i + 20, dim)] = src[RIDX(i + 20, j, dim)];
dst[RIDX(dim-1-j, i + 21, dim)] = src[RIDX(i + 21, j, dim)];
dst[RIDX(dim-1-j, i + 22, dim)] = src[RIDX(i + 22, j, dim)];
dst[RIDX(dim-1-j, i + 23, dim)] = src[RIDX(i + 23, j, dim)];
dst[RIDX(dim-1-j, i + 24, dim)] = src[RIDX(i + 24, j, dim)];
dst[RIDX(dim-1-j, i + 25, dim)] = src[RIDX(i + 25, j, dim)];
dst[RIDX(dim-1-j, i + 26, dim)] = src[RIDX(i + 26, j, dim)];
dst[RIDX(dim-1-j, i + 27, dim)] = src[RIDX(i + 27, j, dim)];
dst[RIDX(dim-1-j, i + 28, dim)] = src[RIDX(i + 28, j, dim)];
dst[RIDX(dim-1-j, i + 29, dim)] = src[RIDX(i + 29, j, dim)];
dst[RIDX(dim-1-j, i + 30, dim)] = src[RIDX(i + 30, j, dim)];
dst[RIDX(dim-1-j, i + 31, dim)] = src[RIDX(i + 31, j, dim)];
}
} else {
for (bj = 0; bj < dim; bj += szj)
for (bi = 0; bi < dim; bi += szi)
for (j = bj; j < bj + szj; j++)
{
i=bi;
dst[RIDX(dim-1-j, i + 0, dim)] = src[RIDX(i + 0, j, dim)];
dst[RIDX(dim-1-j, i + 1, dim)] = src[RIDX(i + 1, j, dim)];
dst[RIDX(dim-1-j, i + 2, dim)] = src[RIDX(i + 2, j, dim)];
dst[RIDX(dim-1-j, i + 3, dim)] = src[RIDX(i + 3, j, dim)];
dst[RIDX(dim-1-j, i + 4, dim)] = src[RIDX(i + 4, j, dim)];
dst[RIDX(dim-1-j, i + 5, dim)] = src[RIDX(i + 5, j, dim)];
dst[RIDX(dim-1-j, i + 6, dim)] = src[RIDX(i + 6, j, dim)];
dst[RIDX(dim-1-j, i + 7, dim)] = src[RIDX(i + 7, j, dim)];
dst[RIDX(dim-1-j, i + 8, dim)] = src[RIDX(i + 8, j, dim)];
dst[RIDX(dim-1-j, i + 9, dim)] = src[RIDX(i + 9, j, dim)];
dst[RIDX(dim-1-j, i + 10, dim)] = src[RIDX(i + 10, j, dim)];
dst[RIDX(dim-1-j, i + 11, dim)] = src[RIDX(i + 11, j, dim)];
dst[RIDX(dim-1-j, i + 12, dim)] = src[RIDX(i + 12, j, dim)];
dst[RIDX(dim-1-j, i + 13, dim)] = src[RIDX(i + 13, j, dim)];
dst[RIDX(dim-1-j, i + 14, dim)] = src[RIDX(i + 14, j, dim)];
dst[RIDX(dim-1-j, i + 15, dim)] = src[RIDX(i + 15, j, dim)];
}
}*/
}
/*********************************************************************
* register_rotate_functions - Register all of your different versions
* of the rotate kernel with the driver by calling the
* add_rotate_function() for each test function. When you run the
* driver program, it will test and report the performance of each
* registered test function.
*********************************************************************/
void register_rotate_functions()
{
add_rotate_function(&naive_rotate, naive_rotate_descr);
add_rotate_function(&rotate, rotate_descr);
/* ... Register additional test functions here */
}
/***************
* SMOOTH KERNEL
**************/
/***************************************************************
* Various typedefs and helper functions for the smooth function
* You may modify these any way you like.
**************************************************************/
/* A struct used to compute averaged pixel value */
typedef struct {
int red;
int green;
int blue;
int num;
} pixel_sum;
/* Compute min and max of two integers, respectively */
static int min(int a, int b) { return (a < b ? a : b); }
static int max(int a, int b) { return (a > b ? a : b); }
/*
* initialize_pixel_sum - Initializes all fields of sum to 0
*/
static void initialize_pixel_sum(pixel_sum *sum)
{
sum->red = sum->green = sum->blue = 0;
sum->num = 0;
return;
}
/*
* accumulate_sum - Accumulates field values of p in corresponding
* fields of sum
*/
static void accumulate_sum(pixel_sum *sum, pixel p)
{
sum->red += (int) p.red;
sum->green += (int) p.green;
sum->blue += (int) p.blue;
sum->num++;
return;
}
/*
* assign_sum_to_pixel - Computes averaged pixel value in current_pixel
*/
static void assign_sum_to_pixel(pixel *current_pixel, pixel_sum sum)
{
current_pixel->red = (unsigned short) (sum.red/sum.num);
current_pixel->green = (unsigned short) (sum.green/sum.num);
current_pixel->blue = (unsigned short) (sum.blue/sum.num);
return;
}
/*
* avg - Returns averaged pixel value at (i,j)
*/
static pixel avg(int dim, int i, int j, pixel *src)
{
int ii, jj;
pixel_sum sum;
pixel current_pixel;
initialize_pixel_sum(&sum);
for(ii = max(i-1, 0); ii <= min(i+1, dim-1); ii++)
for(jj = max(j-1, 0); jj <= min(j+1, dim-1); jj++)
accumulate_sum(&sum, src[RIDX(ii, jj, dim)]);
assign_sum_to_pixel(¤t_pixel, sum);
return current_pixel;
}
/******************************************************
* Your different versions of the smooth kernel go here
******************************************************/
/*
* naive_smooth - The naive baseline version of smooth
*/
char naive_smooth_descr[] = "naive_smooth: Naive baseline implementation";
void naive_smooth(int dim, pixel *src, pixel *dst)
{
int i, j;
for (i = 0; i < dim; i++)
for (j = 0; j < dim; j++)
dst[RIDX(i, j, dim)] = avg(dim, i, j, src);
}
/*
* smooth - Your current working version of smooth.
* IMPORTANT: This is the version you will be graded on
*/
char smooth_descr[] = "smooth: Current working version";
void smooth(int dim, pixel *src, pixel *dst)
{
int i, j;
/*
* this version speeds up to 36.9
*
unsigned int tmpr1, tmpb1, tmpg1;
unsigned int tmpr2, tmpb2, tmpg2;
unsigned int tmpr3, tmpb3, tmpg3;
unsigned int tmpr4, tmpb4, tmpg4;
for (i = 0; i < dim; i += 2) {
tmpr1 = src[RIDX(i, 0, dim)].red + src[RIDX(i, 1, dim)].red + src[RIDX(i, 2, dim)].red;
tmpb1 = src[RIDX(i, 0, dim)].blue + src[RIDX(i, 1, dim)].blue + src[RIDX(i, 2, dim)].blue;
tmpg1 = src[RIDX(i, 0, dim)].green + src[RIDX(i, 1, dim)].green + src[RIDX(i, 2, dim)].green;
tmpr2 = src[RIDX(i + 1, 0, dim)].red + src[RIDX(i + 1, 1, dim)].red + src[RIDX(i + 1, 2, dim)].red;
tmpb2 = src[RIDX(i + 1, 0, dim)].blue + src[RIDX(i + 1, 1, dim)].blue + src[RIDX(i + 1, 2, dim)].blue;
tmpg2 = src[RIDX(i + 1, 0, dim)].green + src[RIDX(i + 1, 1, dim)].green + src[RIDX(i + 1, 2, dim)].green;
tmpr3 = src[RIDX(i + 2, 0, dim)].red + src[RIDX(i + 2, 1, dim)].red + src[RIDX(i + 2, 2, dim)].red;
tmpb3 = src[RIDX(i + 2, 0, dim)].blue + src[RIDX(i + 2, 1, dim)].blue + src[RIDX(i + 2, 2, dim)].blue;
tmpg3 = src[RIDX(i + 2, 0, dim)].green + src[RIDX(i + 2, 1, dim)].green + src[RIDX(i + 2, 2, dim)].green;
tmpr4 = src[RIDX(i + 3, 0, dim)].red + src[RIDX(i + 3, 1, dim)].red + src[RIDX(i + 3, 2, dim)].red;
tmpb4 = src[RIDX(i + 3, 0, dim)].blue + src[RIDX(i + 3, 1, dim)].blue + src[RIDX(i + 3, 2, dim)].blue;
tmpg4 = src[RIDX(i + 3, 0, dim)].green + src[RIDX(i + 3, 1, dim)].green + src[RIDX(i + 3, 2, dim)].green;
for (j = 1; j < dim; ++j) {
if (i + 1 < dim) {
dst[RIDX(i + 1, j, dim)].red = (tmpr1 + tmpr2 + tmpr3) / 9;
dst[RIDX(i + 1, j, dim)].blue = (tmpb1 + tmpb2 + tmpb3) / 9;
dst[RIDX(i + 1, j, dim)].green = (tmpg1 + tmpg2 + tmpg3) / 9;
}
if (i + 2 < dim) {
dst[RIDX(i + 2, j, dim)].red = (tmpr2 + tmpr3 + tmpr4) / 9;
dst[RIDX(i + 2, j, dim)].blue = (tmpb2 + tmpb3 + tmpb4) / 9;
dst[RIDX(i + 2, j, dim)].green = (tmpg2 + tmpg3 + tmpg4) / 9;
}
tmpr1 += src[RIDX(i, j + 2, dim)].red - src[RIDX(i, j - 1, dim)].red;
tmpb1 += src[RIDX(i, j + 2, dim)].blue - src[RIDX(i, j - 1, dim)].blue;
tmpg1 += src[RIDX(i, j + 2, dim)].green - src[RIDX(i, j - 1, dim)].green;
tmpr2 += src[RIDX(i + 1, j + 2, dim)].red - src[RIDX(i + 1, j - 1, dim)].red;
tmpb2 += src[RIDX(i + 1, j + 2, dim)].blue - src[RIDX(i + 1, j - 1, dim)].blue;
tmpg2 += src[RIDX(i + 1, j + 2, dim)].green - src[RIDX(i + 1, j - 1, dim)].green;
tmpr3 += src[RIDX(i + 2, j + 2, dim)].red - src[RIDX(i + 2, j - 1, dim)].red;
tmpb3 += src[RIDX(i + 2, j + 2, dim)].blue - src[RIDX(i + 2, j - 1, dim)].blue;
tmpg3 += src[RIDX(i + 2, j + 2, dim)].green - src[RIDX(i + 2, j - 1, dim)].green;
tmpr4 += src[RIDX(i + 3, j + 2, dim)].red - src[RIDX(i + 3, j - 1, dim)].red;
tmpb4 += src[RIDX(i + 3, j + 2, dim)].blue - src[RIDX(i + 3, j - 1, dim)].blue;
tmpg4 += src[RIDX(i + 3, j + 2, dim)].green - src[RIDX(i + 3, j - 1, dim)].green;
}
}
*/
/*
* this version speeds up to 39.3
*
#define steps 16
unsigned int tmp[(steps + 2) * 3 + 3];
register unsigned int sumr, sumg, sumb;
int k;
for (i = 0; i < dim; i += steps) {
for (k = 0; k < steps + 2; ++k) {
tmp[k * 3 + 0] = src[RIDX(i + k, 0, dim)].red + src[RIDX(i + k, 1, dim)].red + src[RIDX(i + k, 2, dim)].red;
tmp[k * 3 + 1] = src[RIDX(i + k, 0, dim)].green + src[RIDX(i + k, 1, dim)].green + src[RIDX(i + k, 2, dim)].green;
tmp[k * 3 + 2] = src[RIDX(i + k, 0, dim)].blue + src[RIDX(i + k, 1, dim)].blue + src[RIDX(i + k, 2, dim)].blue;
}
for (j = 1; j < dim; ++j) {
sumr = tmp[0 * 3 + 0] + tmp[1 * 3 + 0] + tmp[2 * 3 + 0];
sumg = tmp[0 * 3 + 1] + tmp[1 * 3 + 1] + tmp[2 * 3 + 1];
sumb = tmp[0 * 3 + 2] + tmp[1 * 3 + 2] + tmp[2 * 3 + 2];
for (k = 0; k < steps; ++k) if (i + k + 1 < dim) {
dst[RIDX(i + k + 1, j, dim)].red = sumr / 9;
sumr += tmp[(k + 3) * 3 + 0] - tmp[k * 3 + 0];
dst[RIDX(i + k + 1, j, dim)].green = sumg / 9;
sumg += tmp[(k + 3) * 3 + 1] - tmp[k * 3 + 1];
dst[RIDX(i + k + 1, j, dim)].blue = sumb / 9;
sumb += tmp[(k + 3) * 3 + 2] - tmp[k * 3 + 2];
}
for (k = 0; k < steps + 2; ++k) {
tmp[k * 3 + 0] += src[RIDX(i + k, j + 2, dim)].red - src[RIDX(i + k, j - 1, dim)].red;
tmp[k * 3 + 1] += src[RIDX(i + k, j + 2, dim)].green - src[RIDX(i + k, j - 1, dim)].green;
tmp[k * 3 + 2] += src[RIDX(i + k, j + 2, dim)].blue - src[RIDX(i + k, j - 1, dim)].blue;
}
}
}
for (i = 0; i < dim; ++i) {
dst[RIDX(i, 0, dim)] = avg(dim, i, 0, src);
dst[RIDX(0, i, dim)] = avg(dim, 0, i, src);
dst[RIDX(i, dim - 1, dim)] = avg(dim, i, dim - 1, src);
dst[RIDX(dim - 1, i, dim)] = avg(dim, dim - 1, i, src);
}
*/
/*
* this version upto 43.2
* */
#define steps 32
unsigned int tmp[(steps + 2) * 3 + 3];
register unsigned int sumr, sumg, sumb;
int k;
for (j = 0; j < dim; j += steps) {
for (k = 0; k < steps + 2; ++k) {
tmp[k * 3 + 0] = src[RIDX(0, j + k, dim)].red + src[RIDX(1, j + k, dim)].red + src[RIDX(2, j + k, dim)].red;
tmp[k * 3 + 1] = src[RIDX(0, j + k, dim)].green + src[RIDX(1, j + k, dim)].green + src[RIDX(2, j + k, dim)].green;
tmp[k * 3 + 2] = src[RIDX(0, j + k, dim)].blue + src[RIDX(1, j + k, dim)].blue + src[RIDX(2, j + k, dim)].blue;
}
for (i = 1; i < dim - 1; ++i) {
sumr = tmp[0 * 3 + 0] + tmp[1 * 3 + 0] + tmp[2 * 3 + 0];
sumg = tmp[0 * 3 + 1] + tmp[1 * 3 + 1] + tmp[2 * 3 + 1];
sumb = tmp[0 * 3 + 2] + tmp[1 * 3 + 2] + tmp[2 * 3 + 2];
for (k = 0; k < steps; ++k) if (j + k + 1 < dim) {
dst[RIDX(i, j + k + 1, dim)].red = sumr / 9;
sumr += tmp[(k + 3) * 3 + 0] - tmp[k * 3 + 0];
dst[RIDX(i, j + k + 1, dim)].green = sumg / 9;
sumg += tmp[(k + 3) * 3 + 1] - tmp[k * 3 + 1];
dst[RIDX(i, j + k + 1, dim)].blue = sumb / 9;
sumb += tmp[(k + 3) * 3 + 2] - tmp[k * 3 + 2];
}
for (k = 0; k < steps + 2; ++k) {
tmp[k * 3 + 0] += src[RIDX(i + 2, j + k, dim)].red - src[RIDX(i - 1, j + k, dim)].red;
tmp[k * 3 + 1] += src[RIDX(i + 2, j + k, dim)].green - src[RIDX(i - 1, j + k, dim)].green;
tmp[k * 3 + 2] += src[RIDX(i + 2, j + k, dim)].blue - src[RIDX(i - 1, j + k, dim)].blue;
}
}
}
/*
* this version upto 45.0, however it is slower on the server.
*
int rr1, rr2, rr3;
int gr1, gr2, gr3;
int br1, br2, br3;
register int sumr, sumg, sumb;
for (i = 1; i < dim; ++i) {
rr1 = src[RIDX(i - 1, 0, dim)].red + src[RIDX(i, 0, dim)].red + src[RIDX(i + 1, 0, dim)].red;
rr2 = src[RIDX(i - 1, 1, dim)].red + src[RIDX(i, 1, dim)].red + src[RIDX(i + 1, 1, dim)].red;
sumr = rr1 + rr2;
rr3 = src[RIDX(i - 1, 2, dim)].red + src[RIDX(i, 2, dim)].red + src[RIDX(i + 1, 2, dim)].red;
sumr += rr3;
gr1 = src[RIDX(i - 1, 0, dim)].green + src[RIDX(i, 0, dim)].green + src[RIDX(i + 1, 0, dim)].green;
gr2 = src[RIDX(i - 1, 1, dim)].green + src[RIDX(i, 1, dim)].green + src[RIDX(i + 1, 1, dim)].green;
sumg = gr1 + gr2;
gr3 = src[RIDX(i - 1, 2, dim)].green + src[RIDX(i, 2, dim)].green + src[RIDX(i + 1, 2, dim)].green;
sumg += gr3;
br1 = src[RIDX(i - 1, 0, dim)].blue + src[RIDX(i, 0, dim)].blue + src[RIDX(i + 1, 0, dim)].blue;
br2 = src[RIDX(i - 1, 1, dim)].blue + src[RIDX(i, 1, dim)].blue + src[RIDX(i + 1, 1, dim)].blue;
sumb = br1 + br2;
br3 = src[RIDX(i - 1, 2, dim)].blue + src[RIDX(i, 2, dim)].blue + src[RIDX(i + 1, 2, dim)].blue;
sumb += br3;
for (j = 1; j < dim - 1; j += 3) {
dst[RIDX(i, j, dim)].red = sumr / 9;
dst[RIDX(i, j, dim)].green = sumg / 9;
dst[RIDX(i, j, dim)].blue = sumb / 9;
sumr -= rr1;
sumg -= gr1;
sumb -= br1;
rr1 = src[RIDX(i - 1, j + 2, dim)].red;
rr1 += src[RIDX(i, j + 2, dim)].red;
rr1 += src[RIDX(i + 1, j + 2, dim)].red;
gr1 = src[RIDX(i - 1, j + 2, dim)].green;
gr1 += src[RIDX(i, j + 2, dim)].green;
gr1 += src[RIDX(i + 1, j + 2, dim)].green;
br1 = src[RIDX(i - 1, j + 2, dim)].blue;
br1 += src[RIDX(i, j + 2, dim)].blue;
br1 += src[RIDX(i + 1, j + 2, dim)].blue;
sumr += rr1;
sumg += gr1;
sumb += br1;
dst[RIDX(i, j + 1, dim)].red = sumr / 9;
dst[RIDX(i, j + 1, dim)].green = sumg / 9;
dst[RIDX(i, j + 1, dim)].blue = sumb / 9;
sumr -= rr2;
rr2 = src[RIDX(i - 1, j + 3, dim)].red + src[RIDX(i, j + 3, dim)].red + src[RIDX(i + 1, j + 3, dim)].red;
sumr += rr2;
sumg -= gr2;
gr2 = src[RIDX(i - 1, j + 3, dim)].green + src[RIDX(i, j + 3, dim)].green + src[RIDX(i + 1, j + 3, dim)].green;
sumg += gr2;
sumb -= br2;
br2 = src[RIDX(i - 1, j + 3, dim)].blue + src[RIDX(i, j + 3, dim)].blue + src[RIDX(i + 1, j + 3, dim)].blue;
sumb += br2;
if (j + 2 >= dim) break;
dst[RIDX(i, j + 2, dim)].red = sumr / 9;
dst[RIDX(i, j + 2, dim)].green = sumg / 9;
dst[RIDX(i, j + 2, dim)].blue = sumb / 9;
sumr -= rr3;
rr3 = src[RIDX(i - 1, j + 4, dim)].red + src[RIDX(i, j + 4, dim)].red + src[RIDX(i + 1, j + 4, dim)].red;
sumr += rr3;
sumg -= gr3;
gr3 = src[RIDX(i - 1, j + 4, dim)].green + src[RIDX(i, j + 4, dim)].green + src[RIDX(i + 1, j + 4, dim)].green;
sumg += gr3;
sumb -= br3;
br3 = src[RIDX(i - 1, j + 4, dim)].blue + src[RIDX(i, j + 4, dim)].blue + src[RIDX(i + 1, j + 4, dim)].blue;
sumb += br3;
}
}
const int MaxN = (1 << 10) + 3;
int row[MaxN][3];
int sumr, sumg, sumb;
for (j = 0; j < dim; ++j) {
row[j][0] = src[RIDX(0, j, dim)].red + src[RIDX(1, j, dim)].red + src[RIDX(2, j, dim)].red;
row[j][1] = src[RIDX(0, j, dim)].green + src[RIDX(1, j, dim)].green + src[RIDX(2, j, dim)].green;
row[j][2] = src[RIDX(0, j, dim)].blue + src[RIDX(1, j, dim)].blue + src[RIDX(2, j, dim)].blue;
}
for (i = 1; i < dim - 1; ++i) {
sumr = row[0][0] + row[1][0] + row[2][0];
sumg = row[0][1] + row[1][1] + row[2][1];
sumb = row[0][2] + row[1][2] + row[2][2];
for (j = 1; j < dim - 1; ++j) {
dst[RIDX(i, j, dim)].red = sumr / 9;
sumr += row[j + 2][0] - row[j - 1][0];
row[j - 1][0] += src[RIDX(i + 2, j - 1, dim)].red - src[RIDX(i - 1, j - 1, dim)].red;
dst[RIDX(i, j, dim)].green = sumg / 9;
sumg += row[j + 2][1] - row[j - 1][1];
row[j - 1][1] += src[RIDX(i + 2, j - 1, dim)].green - src[RIDX(i - 1, j - 1, dim)].green;
dst[RIDX(i, j, dim)].blue = sumb / 9;
sumb += row[j + 2][2] - row[j - 1][2];
row[j - 1][2] += src[RIDX(i + 2, j - 1, dim)].blue - src[RIDX(i - 1, j - 1, dim)].blue;
}
for (j = dim - 1; j <= dim + 1; ++j) {
row[j - 1][0] += src[RIDX(i + 2, j - 1, dim)].red - src[RIDX(i - 1, j - 1, dim)].red;
row[j - 1][1] += src[RIDX(i + 2, j - 1, dim)].green - src[RIDX(i - 1, j - 1, dim)].green;
row[j - 1][2] += src[RIDX(i + 2, j - 1, dim)].blue - src[RIDX(i - 1, j - 1, dim)].blue;
}
} */
//first row
sumr = src[RIDX(0, 0, dim)].red + src[RIDX(0, 1, dim)].red + src[RIDX(0, 2, dim)].red
+ src[RIDX(1, 0, dim)].red + src[RIDX(1, 1, dim)].red + src[RIDX(1, 2, dim)].red;
sumg = src[RIDX(0, 0, dim)].green + src[RIDX(0, 1, dim)].green + src[RIDX(0, 2, dim)].green
+ src[RIDX(1, 0, dim)].green + src[RIDX(1, 1, dim)].green + src[RIDX(1, 2, dim)].green;
sumb = src[RIDX(0, 0, dim)].blue + src[RIDX(0, 1, dim)].blue + src[RIDX(0, 2, dim)].blue
+ src[RIDX(1, 0, dim)].blue + src[RIDX(1, 1, dim)].blue + src[RIDX(1, 2, dim)].blue;
for (i = 1; i < dim - 1; ++i) {
dst[RIDX(0, i, dim)].red = sumr / 6;
dst[RIDX(0, i, dim)].green = sumg / 6;
dst[RIDX(0, i, dim)].blue = sumb / 6;
sumr += src[RIDX(0, i + 2, dim)].red + src[RIDX(1, i + 2, dim)].red
- src[RIDX(0, i - 1, dim)].red - src[RIDX(1, i - 1, dim)].red;
sumg += src[RIDX(0, i + 2, dim)].green + src[RIDX(1, i + 2, dim)].green
- src[RIDX(0, i - 1, dim)].green - src[RIDX(1, i - 1, dim)].green;
sumb += src[RIDX(0, i + 2, dim)].blue + src[RIDX(1, i + 2, dim)].blue
- src[RIDX(0, i - 1, dim)].blue - src[RIDX(1, i - 1, dim)].blue;
}
//last row
sumr = src[RIDX(dim - 2, 0, dim)].red + src[RIDX(dim - 2, 1, dim)].red + src[RIDX(dim - 2, 2, dim)].red
+ src[RIDX(dim - 1, 0, dim)].red + src[RIDX(dim - 1, 1, dim)].red + src[RIDX(dim - 1, 2, dim)].red;
sumg = src[RIDX(dim - 2, 0, dim)].green + src[RIDX(dim - 2, 1, dim)].green + src[RIDX(dim - 2, 2, dim)].green
+ src[RIDX(dim - 1, 0, dim)].green + src[RIDX(dim - 1, 1, dim)].green + src[RIDX(dim - 1, 2, dim)].green;
sumb = src[RIDX(dim - 2, 0, dim)].blue + src[RIDX(dim - 2, 1, dim)].blue + src[RIDX(dim - 2, 2, dim)].blue
+ src[RIDX(dim - 1, 0, dim)].blue + src[RIDX(dim - 1, 1, dim)].blue + src[RIDX(dim - 1, 2, dim)].blue;
for (i = 1; i < dim - 1; ++i) {
dst[RIDX(dim - 1, i, dim)].red = sumr / 6;
dst[RIDX(dim - 1, i, dim)].green = sumg / 6;
dst[RIDX(dim - 1, i, dim)].blue = sumb / 6;
sumr += src[RIDX(dim - 1, i + 2, dim)].red + src[RIDX(dim - 2, i + 2, dim)].red
- src[RIDX(dim - 1, i - 1, dim)].red - src[RIDX(dim - 2, i - 1, dim)].red;
sumg += src[RIDX(dim - 1, i + 2, dim)].green + src[RIDX(dim - 2, i + 2, dim)].green
- src[RIDX(dim - 1, i - 1, dim)].green - src[RIDX(dim - 2, i - 1, dim)].green;
sumb += src[RIDX(dim - 1, i + 2, dim)].blue + src[RIDX(dim - 2, i + 2, dim)].blue
- src[RIDX(dim - 1, i - 1, dim)].blue - src[RIDX(dim - 2, i - 1, dim)].blue;
}
//first col
sumr = src[RIDX(0, 0, dim)].red + src[RIDX(1, 0, dim)].red + src[RIDX(2, 0, dim)].red
+ src[RIDX(0, 1, dim)].red + src[RIDX(1, 1, dim)].red + src[RIDX(2, 1, dim)].red;
sumg = src[RIDX(0, 0, dim)].green + src[RIDX(1, 0, dim)].green + src[RIDX(2, 0, dim)].green
+ src[RIDX(0, 1, dim)].green + src[RIDX(1, 1, dim)].green + src[RIDX(2, 1, dim)].green;
sumb = src[RIDX(0, 0, dim)].blue + src[RIDX(1, 0, dim)].blue + src[RIDX(2, 0, dim)].blue
+ src[RIDX(0, 1, dim)].blue + src[RIDX(1, 1, dim)].blue + src[RIDX(2, 1, dim)].blue;
for (i = 1; i < dim - 1; ++i) {
dst[RIDX(i, 0, dim)].red = sumr / 6;
dst[RIDX(i, 0, dim)].green = sumg / 6;
dst[RIDX(i, 0, dim)].blue = sumb / 6;
sumr += src[RIDX(i + 2, 0, dim)].red + src[RIDX(i + 2, 1, dim)].red
- src[RIDX(i - 1, 0, dim)].red - src[RIDX(i - 1, 1, dim)].red;
sumg += src[RIDX(i + 2, 0, dim)].green + src[RIDX(i + 2, 1, dim)].green
- src[RIDX(i - 1, 0, dim)].green - src[RIDX(i - 1, 1, dim)].green;
sumb += src[RIDX(i + 2, 0, dim)].blue + src[RIDX(i + 2, 1, dim)].blue
- src[RIDX(i - 1, 0, dim)].blue - src[RIDX(i - 1, 1, dim)].blue;
}
//last col
sumr = src[RIDX(0, dim - 2, dim)].red + src[RIDX(1, dim - 2, dim)].red + src[RIDX(2, dim - 2, dim)].red
+ src[RIDX(0, dim - 1, dim)].red + src[RIDX(1, dim - 1, dim)].red + src[RIDX(2, dim - 1, dim)].red;
sumg = src[RIDX(0, dim - 2, dim)].green + src[RIDX(1, dim - 2, dim)].green + src[RIDX(2, dim - 2, dim)].green
+ src[RIDX(0, dim - 1, dim)].green + src[RIDX(1, dim - 1, dim)].green + src[RIDX(2, dim - 1, dim)].green;
sumb = src[RIDX(0, dim - 2, dim)].blue + src[RIDX(1, dim - 2, dim)].blue + src[RIDX(2, dim - 2, dim)].blue
+ src[RIDX(0, dim - 1, dim)].blue + src[RIDX(1, dim - 1, dim)].blue + src[RIDX(2, dim - 1, dim)].blue;
for (i = 1; i < dim - 1; ++i) {
dst[RIDX(i, dim - 1, dim)].red = sumr / 6;
dst[RIDX(i, dim - 1, dim)].green = sumg / 6;
dst[RIDX(i, dim - 1, dim)].blue = sumb / 6;
sumr += src[RIDX(i + 2, dim - 1, dim)].red + src[RIDX(i + 2, dim - 2, dim)].red
- src[RIDX(i - 1, dim - 1, dim)].red - src[RIDX(i - 1, dim - 2, dim)].red;
sumg += src[RIDX(i + 2, dim - 1, dim)].green + src[RIDX(i + 2, dim - 2, dim)].green
- src[RIDX(i - 1, dim - 1, dim)].green - src[RIDX(i - 1, dim - 2, dim)].green;
sumb += src[RIDX(i + 2, dim - 1, dim)].blue + src[RIDX(i + 2, dim - 2, dim)].blue
- src[RIDX(i - 1, dim - 1, dim)].blue - src[RIDX(i - 1, dim - 2, dim)].blue;
}
dst[RIDX(0, 0, dim)].red = (src[RIDX(0, 0, dim)].red + src[RIDX(0, 1, dim)].red + src[RIDX(1, 0, dim)].red + src[RIDX(1, 1, dim)].red) >> 2;
dst[RIDX(0, 0, dim)].green = (src[RIDX(0, 0, dim)].green + src[RIDX(0, 1, dim)].green + src[RIDX(1, 0, dim)].green + src[RIDX(1, 1, dim)].green) >> 2;
dst[RIDX(0, 0, dim)].blue = (src[RIDX(0, 0, dim)].blue + src[RIDX(0, 1, dim)].blue + src[RIDX(1, 0, dim)].blue + src[RIDX(1, 1, dim)].blue) >> 2;
dst[RIDX(0, dim - 1, dim)].red = (src[RIDX(0, dim - 1, dim)].red + src[RIDX(0, dim - 2, dim)].red + src[RIDX(1, dim - 1, dim)].red + src[RIDX(1, dim - 2, dim)].red) >> 2;
dst[RIDX(0, dim - 1, dim)].green = (src[RIDX(0, dim - 1, dim)].green + src[RIDX(0, dim - 2, dim)].green + src[RIDX(1, dim - 1, dim)].green + src[RIDX(1, dim - 2, dim)].green) >> 2;
dst[RIDX(0, dim - 1, dim)].blue = (src[RIDX(0, dim - 1, dim)].blue + src[RIDX(0, dim - 2, dim)].blue + src[RIDX(1, dim - 1, dim)].blue + src[RIDX(1, dim - 2, dim)].blue) >> 2;
dst[RIDX(dim - 1, 0, dim)].red = (src[RIDX(dim - 1, 0, dim)].red + src[RIDX(dim - 1, 1, dim)].red + src[RIDX(dim - 2, 0, dim)].red + src[RIDX(dim - 2, 1, dim)].red) >> 2;
dst[RIDX(dim - 1, 0, dim)].green = (src[RIDX(dim - 1, 0, dim)].green + src[RIDX(dim - 1, 1, dim)].green + src[RIDX(dim - 2, 0, dim)].green + src[RIDX(dim - 2, 1, dim)].green) >> 2;
dst[RIDX(dim - 1, 0, dim)].blue = (src[RIDX(dim - 1, 0, dim)].blue + src[RIDX(dim - 1, 1, dim)].blue + src[RIDX(dim - 2, 0, dim)].blue + src[RIDX(dim - 2, 1, dim)].blue) >> 2;
dst[RIDX(dim - 1, dim - 1, dim)].red = (src[RIDX(dim - 1, dim - 1, dim)].red + src[RIDX(dim - 1, dim - 2, dim)].red + src[RIDX(dim - 2, dim - 1, dim)].red + src[RIDX(dim - 2, dim - 2, dim)].red) >> 2;
dst[RIDX(dim - 1, dim - 1, dim)].green = (src[RIDX(dim - 1, dim - 1, dim)].green + src[RIDX(dim - 1, dim - 2, dim)].green + src[RIDX(dim - 2, dim - 1, dim)].green + src[RIDX(dim - 2, dim - 2, dim)].green) >> 2;
dst[RIDX(dim - 1, dim - 1, dim)].blue = (src[RIDX(dim - 1, dim - 1, dim)].blue + src[RIDX(dim - 1, dim - 2, dim)].blue + src[RIDX(dim - 2, dim - 1, dim)].blue + src[RIDX(dim - 2, dim - 2, dim)].blue) >> 2;
}
/*********************************************************************
* register_smooth_functions - Register all of your different versions
* of the smooth kernel with the driver by calling the
* add_smooth_function() for each test function. When you run the
* driver program, it will test and report the performance of each
* registered test function.
*********************************************************************/
void register_smooth_functions() {
add_smooth_function(&smooth, smooth_descr);
add_smooth_function(&naive_smooth, naive_smooth_descr);
/* ... Register additional test functions here */
}