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added cuda examples

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Evghenii
2013-11-04 11:44:49 +01:00
parent cb6614da42
commit cb7cbec0d5
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3
examples_cuda/noise/.gitignore vendored Normal file
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noise
*.ppm
objs

8
examples_cuda/noise/Makefile Normal file
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EXAMPLE=noise
CPP_SRC=noise.cpp noise_serial.cpp
ISPC_SRC=noise.ispc
ISPC_IA_TARGETS=sse2,sse4,avx-x2
ISPC_ARM_TARGETS=neon
include ../common.mk

115
examples_cuda/noise/noise.cpp Normal file
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/*
Copyright (c) 2010-2011, Intel Corporation
All rights reserved.
Redistribution and use in source and binary forms, with or without
modification, are permitted provided that the following conditions are
met:
* Redistributions of source code must retain the above copyright
notice, this list of conditions and the following disclaimer.
* Redistributions in binary form must reproduce the above copyright
notice, this list of conditions and the following disclaimer in the
documentation and/or other materials provided with the distribution.
* Neither the name of Intel Corporation nor the names of its
contributors may be used to endorse or promote products derived from
this software without specific prior written permission.
THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS
IS" AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED
TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A
PARTICULAR PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT OWNER
OR CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL,
EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO,
PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR
PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF
LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING
NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE OF THIS
SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.
*/
#ifdef _MSC_VER
#define _CRT_SECURE_NO_WARNINGS
#define NOMINMAX
#pragma warning (disable: 4244)
#pragma warning (disable: 4305)
#endif
#include <stdio.h>
#include <algorithm>
#include "../timing.h"
#include "noise_ispc.h"
using namespace ispc;
extern void noise_serial(float x0, float y0, float x1, float y1,
int width, int height, float output[]);
/* Write a PPM image file with the image */
static void
writePPM(float *buf, int width, int height, const char *fn) {
FILE *fp = fopen(fn, "wb");
fprintf(fp, "P6\n");
fprintf(fp, "%d %d\n", width, height);
fprintf(fp, "255\n");
for (int i = 0; i < width*height; ++i) {
float v = buf[i] * 255.f;
if (v < 0) v = 0;
if (v > 255) v = 255;
for (int j = 0; j < 3; ++j)
fputc((char)v, fp);
}
fclose(fp);
}
int main() {
unsigned int width = 768;
unsigned int height = 768;
float x0 = -10;
float x1 = 10;
float y0 = -10;
float y1 = 10;
float *buf = new float[width*height];
//
// Compute the image using the ispc implementation; report the minimum
// time of three runs.
//
double minISPC = 1e30;
for (int i = 0; i < 3; ++i) {
reset_and_start_timer();
noise_ispc(x0, y0, x1, y1, width, height, buf);
double dt = get_elapsed_mcycles();
minISPC = std::min(minISPC, dt);
}
printf("[noise ispc]:\t\t\t[%.3f] million cycles\n", minISPC);
writePPM(buf, width, height, "noise-ispc.ppm");
// Clear out the buffer
for (unsigned int i = 0; i < width * height; ++i)
buf[i] = 0;
//
// And run the serial implementation 3 times, again reporting the
// minimum time.
//
double minSerial = 1e30;
for (int i = 0; i < 3; ++i) {
reset_and_start_timer();
noise_serial(x0, y0, x1, y1, width, height, buf);
double dt = get_elapsed_mcycles();
minSerial = std::min(minSerial, dt);
}
printf("[noise serial]:\t\t\t[%.3f] million cycles\n", minSerial);
writePPM(buf, width, height, "noise-serial.ppm");
printf("\t\t\t\t(%.2fx speedup from ISPC)\n", minSerial/minISPC);
return 0;
}

164
examples_cuda/noise/noise.ispc Normal file
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/*
Copyright (c) 2010-2011, Intel Corporation
All rights reserved.
Redistribution and use in source and binary forms, with or without
modification, are permitted provided that the following conditions are
met:
* Redistributions of source code must retain the above copyright
notice, this list of conditions and the following disclaimer.
* Redistributions in binary form must reproduce the above copyright
notice, this list of conditions and the following disclaimer in the
documentation and/or other materials provided with the distribution.
* Neither the name of Intel Corporation nor the names of its
contributors may be used to endorse or promote products derived from
this software without specific prior written permission.
THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS
IS" AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED
TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A
PARTICULAR PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT OWNER
OR CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL,
EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO,
PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR
PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF
LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING
NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE OF THIS
SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.
*/
#define NOISE_PERM_SIZE 256
static uniform int NoisePerm[2 * NOISE_PERM_SIZE] = {
151, 160, 137, 91, 90, 15, 131, 13, 201, 95, 96, 53, 194, 233, 7, 225, 140,
36, 103, 30, 69, 142, 8, 99, 37, 240, 21, 10, 23, 190, 6, 148, 247, 120,
234, 75, 0, 26, 197, 62, 94, 252, 219, 203, 117, 35, 11, 32, 57, 177, 33,
88, 237, 149, 56, 87, 174, 20, 125, 136, 171, 168, 68, 175, 74, 165, 71,
134, 139, 48, 27, 166, 77, 146, 158, 231, 83, 111, 229, 122, 60, 211, 133,
230, 220, 105, 92, 41, 55, 46, 245, 40, 244, 102, 143, 54, 65, 25, 63, 161,
1, 216, 80, 73, 209, 76, 132, 187, 208, 89, 18, 169, 200, 196, 135, 130,
116, 188, 159, 86, 164, 100, 109, 198, 173, 186, 3, 64, 52, 217, 226, 250,
124, 123, 5, 202, 38, 147, 118, 126, 255, 82, 85, 212, 207, 206, 59, 227,
47, 16, 58, 17, 182, 189, 28, 42, 223, 183, 170, 213, 119, 248, 152, 2, 44,
154, 163, 70, 221, 153, 101, 155, 167, 43, 172, 9, 129, 22, 39, 253, 19,
98, 108, 110, 79, 113, 224, 232, 178, 185, 112, 104, 218, 246, 97, 228, 251,
34, 242, 193, 238, 210, 144, 12, 191, 179, 162, 241, 81, 51, 145, 235, 249,
14, 239, 107, 49, 192, 214, 31, 181, 199, 106, 157, 184, 84, 204, 176, 115,
121, 50, 45, 127, 4, 150, 254, 138, 236, 205, 93, 222, 114, 67, 29, 24, 72,
243, 141, 128, 195, 78, 66, 215, 61, 156, 180, 151, 160, 137, 91, 90, 15,
131, 13, 201, 95, 96, 53, 194, 233, 7, 225, 140, 36, 103, 30, 69, 142, 8, 99,
37, 240, 21, 10, 23, 190, 6, 148, 247, 120, 234, 75, 0, 26, 197, 62, 94, 252,
219, 203, 117, 35, 11, 32, 57, 177, 33, 88, 237, 149, 56, 87, 174, 20, 125,
136, 171, 168, 68, 175, 74, 165, 71, 134, 139, 48, 27, 166, 77, 146, 158,
231, 83, 111, 229, 122, 60, 211, 133, 230, 220, 105, 92, 41, 55, 46, 245,
40, 244, 102, 143, 54, 65, 25, 63, 161, 1, 216, 80, 73, 209, 76, 132, 187,
208, 89, 18, 169, 200, 196, 135, 130, 116, 188, 159, 86, 164, 100, 109,
198, 173, 186, 3, 64, 52, 217, 226, 250, 124, 123, 5, 202, 38, 147, 118,
126, 255, 82, 85, 212, 207, 206, 59, 227, 47, 16, 58, 17, 182, 189, 28, 42,
223, 183, 170, 213, 119, 248, 152, 2, 44, 154, 163, 70, 221, 153, 101, 155,
167, 43, 172, 9, 129, 22, 39, 253, 19, 98, 108, 110, 79, 113, 224, 232,
178, 185, 112, 104, 218, 246, 97, 228, 251, 34, 242, 193, 238, 210, 144,
12, 191, 179, 162, 241, 81, 51, 145, 235, 249, 14, 239, 107, 49, 192, 214,
31, 181, 199, 106, 157, 184, 84, 204, 176, 115, 121, 50, 45, 127, 4, 150,
254, 138, 236, 205, 93, 222, 114, 67, 29, 24, 72, 243, 141, 128, 195, 78,
66, 215, 61, 156, 180
};
inline float SmoothStep(float low, float high, float value) {
float v = clamp((value - low) / (high - low), 0.f, 1.f);
return v * v * (-2.f * v + 3.f);
}
inline int Floor2Int(float val) {
return (int)floor(val);
}
inline float Grad(int x, int y, int z, float dx, float dy, float dz) {
int h = NoisePerm[NoisePerm[NoisePerm[x]+y]+z];
h &= 15;
float u = h<8 || h==12 || h==13 ? dx : dy;
float v = h<4 || h==12 || h==13 ? dy : dz;
return ((h&1) ? -u : u) + ((h&2) ? -v : v);
}
inline float NoiseWeight(float t) {
float t3 = t*t*t;
float t4 = t3*t;
return 6.f*t4*t - 15.f*t4 + 10.f*t3;
}
inline float Lerp(float t, float low, float high) {
return (1. - t) * low + t * high;
}
static float Noise(float x, float y, float z) {
// Compute noise cell coordinates and offsets
int ix = Floor2Int(x), iy = Floor2Int(y), iz = Floor2Int(z);
float dx = x - ix, dy = y - iy, dz = z - iz;
// Compute gradient weights
ix &= (NOISE_PERM_SIZE-1);
iy &= (NOISE_PERM_SIZE-1);
iz &= (NOISE_PERM_SIZE-1);
float w000 = Grad(ix, iy, iz, dx, dy, dz);
float w100 = Grad(ix+1, iy, iz, dx-1, dy, dz);
float w010 = Grad(ix, iy+1, iz, dx, dy-1, dz);
float w110 = Grad(ix+1, iy+1, iz, dx-1, dy-1, dz);
float w001 = Grad(ix, iy, iz+1, dx, dy, dz-1);
float w101 = Grad(ix+1, iy, iz+1, dx-1, dy, dz-1);
float w011 = Grad(ix, iy+1, iz+1, dx, dy-1, dz-1);
float w111 = Grad(ix+1, iy+1, iz+1, dx-1, dy-1, dz-1);
// Compute trilinear interpolation of weights
float wx = NoiseWeight(dx), wy = NoiseWeight(dy), wz = NoiseWeight(dz);
float x00 = Lerp(wx, w000, w100);
float x10 = Lerp(wx, w010, w110);
float x01 = Lerp(wx, w001, w101);
float x11 = Lerp(wx, w011, w111);
float y0 = Lerp(wy, x00, x10);
float y1 = Lerp(wy, x01, x11);
return Lerp(wz, y0, y1);
}
static float Turbulence(float x, float y, float z, uniform int octaves) {
float omega = 0.6;
float sum = 0., lambda = 1., o = 1.;
for (uniform int i = 0; i < octaves; ++i) {
sum += abs(o * Noise(lambda * x, lambda * y, lambda * z));
lambda *= 1.99f;
o *= omega;
}
return sum * 0.5;
}
export void noise_ispc(uniform float x0, uniform float y0, uniform float x1,
uniform float y1, uniform int width, uniform int height,
uniform float output[])
{
uniform float dx = (x1 - x0) / width;
uniform float dy = (y1 - y0) / height;
for (uniform int j = 0; j < height; j++) {
for (uniform int i = 0; i < width; i += programCount) {
float x = x0 + (i + programIndex) * dx;
float y = y0 + j * dy;
int index = (j * width + i + programIndex);
output[index] = Turbulence(x, y, 0.6, 8);
}
}
}

175
examples_cuda/noise/noise.vcxproj Normal file
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170
examples_cuda/noise/noise_serial.cpp Normal file
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/*
Copyright (c) 2010-2011, Intel Corporation
All rights reserved.
Redistribution and use in source and binary forms, with or without
modification, are permitted provided that the following conditions are
met:
* Redistributions of source code must retain the above copyright
notice, this list of conditions and the following disclaimer.
* Redistributions in binary form must reproduce the above copyright
notice, this list of conditions and the following disclaimer in the
documentation and/or other materials provided with the distribution.
* Neither the name of Intel Corporation nor the names of its
contributors may be used to endorse or promote products derived from
this software without specific prior written permission.
THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS
IS" AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED
TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A
PARTICULAR PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT OWNER
OR CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL,
EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO,
PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR
PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF
LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING
NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE OF THIS
SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.
*/
#include <math.h>
#define NOISE_PERM_SIZE 256
static int NoisePerm[2 * NOISE_PERM_SIZE] = {
151, 160, 137, 91, 90, 15, 131, 13, 201, 95, 96, 53, 194, 233, 7, 225, 140,
36, 103, 30, 69, 142, 8, 99, 37, 240, 21, 10, 23, 190, 6, 148, 247, 120,
234, 75, 0, 26, 197, 62, 94, 252, 219, 203, 117, 35, 11, 32, 57, 177, 33,
88, 237, 149, 56, 87, 174, 20, 125, 136, 171, 168, 68, 175, 74, 165, 71,
134, 139, 48, 27, 166, 77, 146, 158, 231, 83, 111, 229, 122, 60, 211, 133,
230, 220, 105, 92, 41, 55, 46, 245, 40, 244, 102, 143, 54, 65, 25, 63, 161,
1, 216, 80, 73, 209, 76, 132, 187, 208, 89, 18, 169, 200, 196, 135, 130,
116, 188, 159, 86, 164, 100, 109, 198, 173, 186, 3, 64, 52, 217, 226, 250,
124, 123, 5, 202, 38, 147, 118, 126, 255, 82, 85, 212, 207, 206, 59, 227,
47, 16, 58, 17, 182, 189, 28, 42, 223, 183, 170, 213, 119, 248, 152, 2, 44,
154, 163, 70, 221, 153, 101, 155, 167, 43, 172, 9, 129, 22, 39, 253, 19,
98, 108, 110, 79, 113, 224, 232, 178, 185, 112, 104, 218, 246, 97, 228, 251,
34, 242, 193, 238, 210, 144, 12, 191, 179, 162, 241, 81, 51, 145, 235, 249,
14, 239, 107, 49, 192, 214, 31, 181, 199, 106, 157, 184, 84, 204, 176, 115,
121, 50, 45, 127, 4, 150, 254, 138, 236, 205, 93, 222, 114, 67, 29, 24, 72,
243, 141, 128, 195, 78, 66, 215, 61, 156, 180, 151, 160, 137, 91, 90, 15,
131, 13, 201, 95, 96, 53, 194, 233, 7, 225, 140, 36, 103, 30, 69, 142, 8, 99,
37, 240, 21, 10, 23, 190, 6, 148, 247, 120, 234, 75, 0, 26, 197, 62, 94, 252,
219, 203, 117, 35, 11, 32, 57, 177, 33, 88, 237, 149, 56, 87, 174, 20, 125,
136, 171, 168, 68, 175, 74, 165, 71, 134, 139, 48, 27, 166, 77, 146, 158,
231, 83, 111, 229, 122, 60, 211, 133, 230, 220, 105, 92, 41, 55, 46, 245,
40, 244, 102, 143, 54, 65, 25, 63, 161, 1, 216, 80, 73, 209, 76, 132, 187,
208, 89, 18, 169, 200, 196, 135, 130, 116, 188, 159, 86, 164, 100, 109,
198, 173, 186, 3, 64, 52, 217, 226, 250, 124, 123, 5, 202, 38, 147, 118,
126, 255, 82, 85, 212, 207, 206, 59, 227, 47, 16, 58, 17, 182, 189, 28, 42,
223, 183, 170, 213, 119, 248, 152, 2, 44, 154, 163, 70, 221, 153, 101, 155,
167, 43, 172, 9, 129, 22, 39, 253, 19, 98, 108, 110, 79, 113, 224, 232,
178, 185, 112, 104, 218, 246, 97, 228, 251, 34, 242, 193, 238, 210, 144,
12, 191, 179, 162, 241, 81, 51, 145, 235, 249, 14, 239, 107, 49, 192, 214,
31, 181, 199, 106, 157, 184, 84, 204, 176, 115, 121, 50, 45, 127, 4, 150,
254, 138, 236, 205, 93, 222, 114, 67, 29, 24, 72, 243, 141, 128, 195, 78,
66, 215, 61, 156, 180
};
inline float Clamp(float v, float low, float high) {
return v < low ? low : ((v > high) ? high : v);
}
inline float SmoothStep(float low, float high, float value) {
float v = Clamp((value - low) / (high - low), 0.f, 1.f);
return v * v * (-2.f * v + 3.f);
}
inline int Floor2Int(float val) {
return (int)floorf(val);
}
inline float Grad(int x, int y, int z, float dx, float dy, float dz) {
int h = NoisePerm[NoisePerm[NoisePerm[x]+y]+z];
h &= 15;
float u = h<8 || h==12 || h==13 ? dx : dy;
float v = h<4 || h==12 || h==13 ? dy : dz;
return ((h&1) ? -u : u) + ((h&2) ? -v : v);
}
inline float NoiseWeight(float t) {
float t3 = t*t*t;
float t4 = t3*t;
return 6.f*t4*t - 15.f*t4 + 10.f*t3;
}
inline float Lerp(float t, float low, float high) {
return (1.f - t) * low + t * high;
}
static float Noise(float x, float y, float z) {
// Compute noise cell coordinates and offsets
int ix = Floor2Int(x), iy = Floor2Int(y), iz = Floor2Int(z);
float dx = x - ix, dy = y - iy, dz = z - iz;
// Compute gradient weights
ix &= (NOISE_PERM_SIZE-1);
iy &= (NOISE_PERM_SIZE-1);
iz &= (NOISE_PERM_SIZE-1);
float w000 = Grad(ix, iy, iz, dx, dy, dz);
float w100 = Grad(ix+1, iy, iz, dx-1, dy, dz);
float w010 = Grad(ix, iy+1, iz, dx, dy-1, dz);
float w110 = Grad(ix+1, iy+1, iz, dx-1, dy-1, dz);
float w001 = Grad(ix, iy, iz+1, dx, dy, dz-1);
float w101 = Grad(ix+1, iy, iz+1, dx-1, dy, dz-1);
float w011 = Grad(ix, iy+1, iz+1, dx, dy-1, dz-1);
float w111 = Grad(ix+1, iy+1, iz+1, dx-1, dy-1, dz-1);
// Compute trilinear interpolation of weights
float wx = NoiseWeight(dx), wy = NoiseWeight(dy), wz = NoiseWeight(dz);
float x00 = Lerp(wx, w000, w100);
float x10 = Lerp(wx, w010, w110);
float x01 = Lerp(wx, w001, w101);
float x11 = Lerp(wx, w011, w111);
float y0 = Lerp(wy, x00, x10);
float y1 = Lerp(wy, x01, x11);
return Lerp(wz, y0, y1);
}
static float Turbulence(float x, float y, float z, int octaves) {
float omega = 0.6;
float sum = 0., lambda = 1., o = 1.;
for (int i = 0; i < octaves; ++i) {
sum += fabsf(o * Noise(lambda * x, lambda * y, lambda * z));
lambda *= 1.99f;
o *= omega;
}
return sum * 0.5f;
}
void noise_serial(float x0, float y0, float x1, float y1,
int width, int height, float output[])
{
float dx = (x1 - x0) / width;
float dy = (y1 - y0) / height;
for (int j = 0; j < height; j++) {
for (int i = 0; i < width; ++i) {
float x = x0 + i * dx;
float y = y0 + j * dy;
int index = (j * width + i);
output[index] = Turbulence(x, y, 0.6f, 8);
}
}
}