mirror of
https://github.com/NVIDIA/cuda-samples.git
synced 2024-11-25 03:39:16 +08:00
395 lines
14 KiB
Plaintext
395 lines
14 KiB
Plaintext
/* Copyright (c) 2022, NVIDIA 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 NVIDIA 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 ``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 <stdio.h>
|
|
#include "helper_cuda.h"
|
|
#include "Mandelbrot_kernel.h"
|
|
#include "Mandelbrot_kernel.cuh"
|
|
|
|
// The Mandelbrot CUDA GPU thread function
|
|
|
|
template <class T>
|
|
__global__ void Mandelbrot0(uchar4 *dst, const int imageW, const int imageH,
|
|
const int crunch, const T xOff, const T yOff,
|
|
const T xJP, const T yJP, const T scale,
|
|
const uchar4 colors, const int frame,
|
|
const int animationFrame, const int gridWidth,
|
|
const int numBlocks, const bool isJ) {
|
|
// loop until all blocks completed
|
|
for (unsigned int blockIndex = blockIdx.x; blockIndex < numBlocks;
|
|
blockIndex += gridDim.x) {
|
|
unsigned int blockX = blockIndex % gridWidth;
|
|
unsigned int blockY = blockIndex / gridWidth;
|
|
|
|
// process this block
|
|
const int ix = blockDim.x * blockX + threadIdx.x;
|
|
const int iy = blockDim.y * blockY + threadIdx.y;
|
|
|
|
if ((ix < imageW) && (iy < imageH)) {
|
|
// Calculate the location
|
|
const T xPos = (T)ix * scale + xOff;
|
|
const T yPos = (T)iy * scale + yOff;
|
|
|
|
// Calculate the Mandelbrot index for the current location
|
|
int m = CalcMandelbrot<T>(xPos, yPos, xJP, yJP, crunch, isJ);
|
|
// int m = blockIdx.x; // uncomment to see scheduling
|
|
// order
|
|
m = m > 0 ? crunch - m : 0;
|
|
|
|
// Convert the Mandelbrot index into a color
|
|
uchar4 color;
|
|
|
|
if (m) {
|
|
m += animationFrame;
|
|
color.x = m * colors.x;
|
|
color.y = m * colors.y;
|
|
color.z = m * colors.z;
|
|
} else {
|
|
color.x = 0;
|
|
color.y = 0;
|
|
color.z = 0;
|
|
}
|
|
|
|
// Output the pixel
|
|
int pixel = imageW * iy + ix;
|
|
|
|
if (frame == 0) {
|
|
color.w = 0;
|
|
dst[pixel] = color;
|
|
} else {
|
|
int frame1 = frame + 1;
|
|
int frame2 = frame1 / 2;
|
|
dst[pixel].x = (dst[pixel].x * frame + color.x + frame2) / frame1;
|
|
dst[pixel].y = (dst[pixel].y * frame + color.y + frame2) / frame1;
|
|
dst[pixel].z = (dst[pixel].z * frame + color.z + frame2) / frame1;
|
|
}
|
|
}
|
|
}
|
|
|
|
} // Mandelbrot0
|
|
|
|
// The Mandelbrot CUDA GPU thread function (double single version)
|
|
__global__ void MandelbrotDS0(uchar4 *dst, const int imageW, const int imageH,
|
|
const int crunch, const float xOff0,
|
|
const float xOff1, const float yOff0,
|
|
const float yOff1, const float xJP,
|
|
const float yJP, const float scale,
|
|
const uchar4 colors, const int frame,
|
|
const int animationFrame, const int gridWidth,
|
|
const int numBlocks, const bool isJ) {
|
|
// loop until all blocks completed
|
|
for (unsigned int blockIndex = blockIdx.x; blockIndex < numBlocks;
|
|
blockIndex += gridDim.x) {
|
|
unsigned int blockX = blockIndex % gridWidth;
|
|
unsigned int blockY = blockIndex / gridWidth;
|
|
|
|
// process this block
|
|
const int ix = blockDim.x * blockX + threadIdx.x;
|
|
const int iy = blockDim.y * blockY + threadIdx.y;
|
|
|
|
if ((ix < imageW) && (iy < imageH)) {
|
|
// Calculate the location
|
|
float xPos0 = (float)ix * scale;
|
|
float xPos1 = 0.0f;
|
|
float yPos0 = (float)iy * scale;
|
|
float yPos1 = 0.0f;
|
|
dsadd(xPos0, xPos1, xPos0, xPos1, xOff0, xOff1);
|
|
dsadd(yPos0, yPos1, yPos0, yPos1, yOff0, yOff1);
|
|
|
|
// Calculate the Mandelbrot index for the current location
|
|
int m =
|
|
CalcMandelbrotDS(xPos0, xPos1, yPos0, yPos1, xJP, yJP, crunch, isJ);
|
|
m = m > 0 ? crunch - m : 0;
|
|
|
|
// Convert the Mandelbrot index into a color
|
|
uchar4 color;
|
|
|
|
if (m) {
|
|
m += animationFrame;
|
|
color.x = m * colors.x;
|
|
color.y = m * colors.y;
|
|
color.z = m * colors.z;
|
|
} else {
|
|
color.x = 0;
|
|
color.y = 0;
|
|
color.z = 0;
|
|
}
|
|
|
|
// Output the pixel
|
|
int pixel = imageW * iy + ix;
|
|
|
|
if (frame == 0) {
|
|
color.w = 0;
|
|
dst[pixel] = color;
|
|
} else {
|
|
int frame1 = frame + 1;
|
|
int frame2 = frame1 / 2;
|
|
dst[pixel].x = (dst[pixel].x * frame + color.x + frame2) / frame1;
|
|
dst[pixel].y = (dst[pixel].y * frame + color.y + frame2) / frame1;
|
|
dst[pixel].z = (dst[pixel].z * frame + color.z + frame2) / frame1;
|
|
}
|
|
}
|
|
}
|
|
} // MandelbrotDS0
|
|
|
|
// The Mandelbrot secondary AA pass CUDA GPU thread function
|
|
template <class T>
|
|
__global__ void Mandelbrot1(uchar4 *dst, const int imageW, const int imageH,
|
|
const int crunch, const T xOff, const T yOff,
|
|
const T xJP, const T yJP, const T scale,
|
|
const uchar4 colors, const int frame,
|
|
const int animationFrame, const int gridWidth,
|
|
const int numBlocks, const bool isJ) {
|
|
// loop until all blocks completed
|
|
for (unsigned int blockIndex = blockIdx.x; blockIndex < numBlocks;
|
|
blockIndex += gridDim.x) {
|
|
unsigned int blockX = blockIndex % gridWidth;
|
|
unsigned int blockY = blockIndex / gridWidth;
|
|
|
|
// process this block
|
|
const int ix = blockDim.x * blockX + threadIdx.x;
|
|
const int iy = blockDim.y * blockY + threadIdx.y;
|
|
|
|
if ((ix < imageW) && (iy < imageH)) {
|
|
// Get the current pixel color
|
|
int pixel = imageW * iy + ix;
|
|
uchar4 pixelColor = dst[pixel];
|
|
int count = 0;
|
|
|
|
// Search for pixels out of tolerance surrounding the current pixel
|
|
if (ix > 0) {
|
|
count += CheckColors(pixelColor, dst[pixel - 1]);
|
|
}
|
|
|
|
if (ix + 1 < imageW) {
|
|
count += CheckColors(pixelColor, dst[pixel + 1]);
|
|
}
|
|
|
|
if (iy > 0) {
|
|
count += CheckColors(pixelColor, dst[pixel - imageW]);
|
|
}
|
|
|
|
if (iy + 1 < imageH) {
|
|
count += CheckColors(pixelColor, dst[pixel + imageW]);
|
|
}
|
|
|
|
if (count) {
|
|
// Calculate the location
|
|
const T xPos = (T)ix * scale + xOff;
|
|
const T yPos = (T)iy * scale + yOff;
|
|
|
|
// Calculate the Mandelbrot index for the current location
|
|
int m = CalcMandelbrot(xPos, yPos, xJP, yJP, crunch, isJ);
|
|
m = m > 0 ? crunch - m : 0;
|
|
|
|
// Convert the Mandelbrot index into a color
|
|
uchar4 color;
|
|
|
|
if (m) {
|
|
m += animationFrame;
|
|
color.x = m * colors.x;
|
|
color.y = m * colors.y;
|
|
color.z = m * colors.z;
|
|
} else {
|
|
color.x = 0;
|
|
color.y = 0;
|
|
color.z = 0;
|
|
}
|
|
|
|
// Output the pixel
|
|
int frame1 = frame + 1;
|
|
int frame2 = frame1 / 2;
|
|
dst[pixel].x = (pixelColor.x * frame + color.x + frame2) / frame1;
|
|
dst[pixel].y = (pixelColor.y * frame + color.y + frame2) / frame1;
|
|
dst[pixel].z = (pixelColor.z * frame + color.z + frame2) / frame1;
|
|
}
|
|
}
|
|
}
|
|
|
|
} // Mandelbrot1
|
|
|
|
// The Mandelbrot secondary AA pass CUDA GPU thread function (double single
|
|
// version)
|
|
__global__ void MandelbrotDS1(uchar4 *dst, const int imageW, const int imageH,
|
|
const int crunch, const float xOff0,
|
|
const float xOff1, const float yOff0,
|
|
const float yOff1, const float xJP,
|
|
const float yJP, const float scale,
|
|
const uchar4 colors, const int frame,
|
|
const int animationFrame, const int gridWidth,
|
|
const int numBlocks, const bool isJ) {
|
|
// loop until all blocks completed
|
|
for (unsigned int blockIndex = blockIdx.x; blockIndex < numBlocks;
|
|
blockIndex += gridDim.x) {
|
|
unsigned int blockX = blockIndex % gridWidth;
|
|
unsigned int blockY = blockIndex / gridWidth;
|
|
|
|
// process this block
|
|
const int ix = blockDim.x * blockX + threadIdx.x;
|
|
const int iy = blockDim.y * blockY + threadIdx.y;
|
|
|
|
if ((ix < imageW) && (iy < imageH)) {
|
|
// Get the current pixel color
|
|
int pixel = imageW * iy + ix;
|
|
uchar4 pixelColor = dst[pixel];
|
|
int count = 0;
|
|
|
|
// Search for pixels out of tolerance surrounding the current pixel
|
|
if (ix > 0) {
|
|
count += CheckColors(pixelColor, dst[pixel - 1]);
|
|
}
|
|
|
|
if (ix + 1 < imageW) {
|
|
count += CheckColors(pixelColor, dst[pixel + 1]);
|
|
}
|
|
|
|
if (iy > 0) {
|
|
count += CheckColors(pixelColor, dst[pixel - imageW]);
|
|
}
|
|
|
|
if (iy + 1 < imageH) {
|
|
count += CheckColors(pixelColor, dst[pixel + imageW]);
|
|
}
|
|
|
|
if (count) {
|
|
// Calculate the location
|
|
float xPos0 = (float)ix * scale;
|
|
float xPos1 = 0.0f;
|
|
float yPos0 = (float)iy * scale;
|
|
float yPos1 = 0.0f;
|
|
dsadd(xPos0, xPos1, xPos0, xPos1, xOff0, xOff1);
|
|
dsadd(yPos0, yPos1, yPos0, yPos1, yOff0, yOff1);
|
|
|
|
// Calculate the Mandelbrot index for the current location
|
|
int m =
|
|
CalcMandelbrotDS(xPos0, xPos1, yPos0, yPos1, xJP, yJP, crunch, isJ);
|
|
m = m > 0 ? crunch - m : 0;
|
|
|
|
// Convert the Mandelbrot index into a color
|
|
uchar4 color;
|
|
|
|
if (m) {
|
|
m += animationFrame;
|
|
color.x = m * colors.x;
|
|
color.y = m * colors.y;
|
|
color.z = m * colors.z;
|
|
} else {
|
|
color.x = 0;
|
|
color.y = 0;
|
|
color.z = 0;
|
|
}
|
|
|
|
// Output the pixel
|
|
int frame1 = frame + 1;
|
|
int frame2 = frame1 / 2;
|
|
dst[pixel].x = (pixelColor.x * frame + color.x + frame2) / frame1;
|
|
dst[pixel].y = (pixelColor.y * frame + color.y + frame2) / frame1;
|
|
dst[pixel].z = (pixelColor.z * frame + color.z + frame2) / frame1;
|
|
}
|
|
}
|
|
}
|
|
|
|
} // MandelbrotDS1
|
|
|
|
// The host CPU Mandelbrot thread spawner
|
|
void RunMandelbrot0(uchar4 *dst, const int imageW, const int imageH,
|
|
const int crunch, const double xOff, const double yOff,
|
|
const double xjp, const double yjp, const double scale,
|
|
const uchar4 colors, const int frame,
|
|
const int animationFrame, const int mode, const int numSMs,
|
|
const bool isJ, int version) {
|
|
dim3 threads(BLOCKDIM_X, BLOCKDIM_Y);
|
|
dim3 grid(iDivUp(imageW, BLOCKDIM_X), iDivUp(imageH, BLOCKDIM_Y));
|
|
|
|
int numWorkerBlocks = numSMs;
|
|
|
|
switch (mode) {
|
|
default:
|
|
case 0:
|
|
Mandelbrot0<float><<<numWorkerBlocks, threads>>>(
|
|
dst, imageW, imageH, crunch, (float)xOff, (float)yOff, (float)xjp,
|
|
(float)yjp, (float)scale, colors, frame, animationFrame, grid.x,
|
|
grid.x * grid.y, isJ);
|
|
break;
|
|
case 1:
|
|
float x0, x1, y0, y1;
|
|
dsdeq(x0, x1, xOff);
|
|
dsdeq(y0, y1, yOff);
|
|
MandelbrotDS0<<<numWorkerBlocks, threads>>>(
|
|
dst, imageW, imageH, crunch, x0, x1, y0, y1, (float)xjp, (float)yjp,
|
|
(float)scale, colors, frame, animationFrame, grid.x, grid.x * grid.y,
|
|
isJ);
|
|
break;
|
|
case 2:
|
|
Mandelbrot0<double><<<numWorkerBlocks, threads>>>(
|
|
dst, imageW, imageH, crunch, xOff, yOff, xjp, yjp, scale, colors,
|
|
frame, animationFrame, grid.x, grid.x * grid.y, isJ);
|
|
break;
|
|
}
|
|
|
|
getLastCudaError("Mandelbrot0 kernel execution failed.\n");
|
|
} // RunMandelbrot0
|
|
|
|
// The host CPU Mandelbrot thread spawner
|
|
void RunMandelbrot1(uchar4 *dst, const int imageW, const int imageH,
|
|
const int crunch, const double xOff, const double yOff,
|
|
const double xjp, const double yjp, const double scale,
|
|
const uchar4 colors, const int frame,
|
|
const int animationFrame, const int mode, const int numSMs,
|
|
const bool isJ, int version) {
|
|
dim3 threads(BLOCKDIM_X, BLOCKDIM_Y);
|
|
dim3 grid(iDivUp(imageW, BLOCKDIM_X), iDivUp(imageH, BLOCKDIM_Y));
|
|
|
|
int numWorkerBlocks = numSMs;
|
|
|
|
switch (mode) {
|
|
default:
|
|
case 0:
|
|
Mandelbrot1<float><<<numWorkerBlocks, threads>>>(
|
|
dst, imageW, imageH, crunch, (float)xOff, (float)yOff, (float)xjp,
|
|
(float)yjp, (float)scale, colors, frame, animationFrame, grid.x,
|
|
grid.x * grid.y, isJ);
|
|
break;
|
|
case 1:
|
|
float x0, x1, y0, y1;
|
|
dsdeq(x0, x1, xOff);
|
|
dsdeq(y0, y1, yOff);
|
|
MandelbrotDS1<<<numWorkerBlocks, threads>>>(
|
|
dst, imageW, imageH, crunch, x0, x1, y0, y1, (float)xjp, (float)yjp,
|
|
(float)scale, colors, frame, animationFrame, grid.x, grid.x * grid.y,
|
|
isJ);
|
|
break;
|
|
case 2:
|
|
Mandelbrot1<double><<<numWorkerBlocks, threads>>>(
|
|
dst, imageW, imageH, crunch, xOff, yOff, xjp, yjp, scale, colors,
|
|
frame, animationFrame, grid.x, grid.x * grid.y, isJ);
|
|
break;
|
|
}
|
|
|
|
getLastCudaError("Mandelbrot1 kernel execution failed.\n");
|
|
} // RunMandelbrot1
|