From f859ef9daff29ae64215240b6b9378b164a13761 Mon Sep 17 00:00:00 2001 From: Alessandro Capotondi Date: Mon, 10 May 2021 23:04:20 +0200 Subject: [PATCH] HPC CUDA Lab Appendix --- README.md | 1 + cuda/appendix/.gitignore | 6 + cuda/appendix/OpenCV-Config.txt | 21 ++ cuda/appendix/gemm/gemm.cu | 246 ++++++++++++++++ cuda/appendix/saxpy/saxpy.cu | 183 ++++++++++++ cuda/appendix/sobel/data/buzz.jpg | Bin 0 -> 2554296 bytes cuda/appendix/sobel/data/daisy.jpg | Bin 0 -> 67383 bytes cuda/appendix/sobel/data/earth_rise.jpg | Bin 0 -> 2948872 bytes cuda/appendix/sobel/data/fiore.jpg | Bin 0 -> 266967 bytes cuda/appendix/sobel/sobel.cu | 361 ++++++++++++++++++++++++ 10 files changed, 818 insertions(+) create mode 100644 cuda/appendix/.gitignore create mode 100644 cuda/appendix/OpenCV-Config.txt create mode 100644 cuda/appendix/gemm/gemm.cu create mode 100644 cuda/appendix/saxpy/saxpy.cu create mode 100644 cuda/appendix/sobel/data/buzz.jpg create mode 100644 cuda/appendix/sobel/data/daisy.jpg create mode 100644 cuda/appendix/sobel/data/earth_rise.jpg create mode 100644 cuda/appendix/sobel/data/fiore.jpg create mode 100644 cuda/appendix/sobel/sobel.cu diff --git a/README.md b/README.md index 0c7366c..564be62 100644 --- a/README.md +++ b/README.md @@ -18,6 +18,7 @@ The exercises related to OpenMP programming model can be found in the folder `op - `cuda\lab1`: CUDA Basics - `cuda\lab2`: CUDA Memory Model - `cuda\lab3`: CUDA Advanced Host Management +- `cuda\appendix`: CUDA Nsight Tutorial ### (Optional) - `challenge`: Parallelize the code with everything you learned and submit the result before *21 May 2021* diff --git a/cuda/appendix/.gitignore b/cuda/appendix/.gitignore new file mode 100644 index 0000000..47b77e5 --- /dev/null +++ b/cuda/appendix/.gitignore @@ -0,0 +1,6 @@ +Release/ +Debug/ + +.ptp-sync +.settings +.ptp-sync-folder diff --git a/cuda/appendix/OpenCV-Config.txt b/cuda/appendix/OpenCV-Config.txt new file mode 100644 index 0000000..bdcc182 --- /dev/null +++ b/cuda/appendix/OpenCV-Config.txt @@ -0,0 +1,21 @@ +# Add Include Dir +/usr/include/opencv4/opencv +/usr/include/opencv4 + +# Add Libs +opencv_dnn +gomp +opencv_gapi +opencv_highgui +opencv_ml +opencv_objdetect +opencv_photo +opencv_stitching +opencv_video +opencv_calib3d +opencv_features2d +opencv_flann +opencv_videoio +opencv_imgcodecs +opencv_imgproc +opencv_core \ No newline at end of file diff --git a/cuda/appendix/gemm/gemm.cu b/cuda/appendix/gemm/gemm.cu new file mode 100644 index 0000000..fc73a49 --- /dev/null +++ b/cuda/appendix/gemm/gemm.cu @@ -0,0 +1,246 @@ +/* + * BSD 2-Clause License + * + * Copyright (c) 2020, Alessandro Capotondi + * 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. + * + * 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 HOLDER 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. + */ + +/** + * @file gemm.cu + * @author Alessandro Capotondi + * @date 12 May 2020 + * @brief GEMM Kernel + * + * @see https://dolly.fim.unimore.it/2019/course/view.php?id=152 + */ + +#include +#include +#include +#include + +#define gpuErrchk(ans) \ + { \ + gpuAssert((ans), __FILE__, __LINE__); \ + } +static inline void gpuAssert(cudaError_t code, const char *file, int line, bool abort = true) +{ + if (code != cudaSuccess) + { + fprintf(stderr, "GPUassert: %s %s %d\n", cudaGetErrorString(code), file, line); + if (abort) + exit(code); + } +} + +#define TWO02 (1 << 2) +#define TWO04 (1 << 4) +#define TWO08 (1 << 8) + +#ifndef N +#define N (1 << 10) +#endif +#ifndef TILE_W +#define TILE_W 128 +#endif +#ifndef BLOCK_SIZE +#define BLOCK_SIZE 32 +#endif + +#define SM 64 +static void reorder(float *__restrict__ a, float *__restrict__ b, int n) +{ + for (int i = 0; i < SM; i++) + for (int j = 0; j < SM; j++) + b[i * SM + j] = a[i * n + j]; +} + +static void mm(float *__restrict__ a, float *__restrict__ b, float *__restrict__ c, int n) +{ + for (int i = 0; i < SM; i++) + { + for (int k = 0; k < SM; k++) + { + for (int j = 0; j < SM; j++) + { + c[i * n + j] += a[i * n + k] * b[k * SM + j]; + } + } + } +} +void gemm_host(float *a, float *b, float *c, int n) +{ + int bk = n / SM; +#pragma omp parallel for collapse(3) + for (int i = 0; i < bk; i++) + { + for (int j = 0; j < bk; j++) + { + for (int k = 0; k < bk; k++) + { + float b2[SM * SM]; + reorder(&b[SM * (k * n + j)], b2, n); + mm(&a[SM * (i * n + k)], b2, &c[SM * (i * n + j)], n); + } + } + } +} +__global__ void gemm(float *__restrict__ a, float *__restrict__ b, float *__restrict__ c, int n) +{ + __shared__ float As[BLOCK_SIZE][BLOCK_SIZE]; + __shared__ float Bs[BLOCK_SIZE][BLOCK_SIZE]; + + int ib = blockIdx.y; + int jb = blockIdx.x; + + int it = threadIdx.y; + int jt = threadIdx.x; + + int a_offset, b_offset, c_offset; + + float Cvalue = 0.0f; + for (int kb = 0; kb < (n / BLOCK_SIZE); ++kb) + { + a_offset = ib * n * BLOCK_SIZE + kb * BLOCK_SIZE; + b_offset = kb * n * BLOCK_SIZE + jb * BLOCK_SIZE; + As[it][jt] = a[a_offset + it * n + jt]; + Bs[it][jt] = b[b_offset + it * n + jt]; + __syncthreads(); + + for (int k = 0; k < BLOCK_SIZE; ++k) + Cvalue += As[it][k] * Bs[k][jt]; + + __syncthreads(); + } + + c_offset = ib * n * BLOCK_SIZE + jb * BLOCK_SIZE; + c[c_offset + it * n + jt] = Cvalue; +} + +int main(int argc, char *argv[]) +{ + int n = N, iret = 0; + float *a, *b, *c, *g; + struct timespec rt[2]; + double wt; // walltime + + if (argc > 1) + n = atoi(argv[1]); + + //TODO Update malloc to cudaMallocHost or cudaMallocManaged (if necessary) + if (NULL == (a = (float *)malloc(sizeof(*a) * n * n))) + { + printf("error: memory allocation for 'x'\n"); + iret = -1; + } + //TODO Update malloc to cudaMallocHost or cudaMallocManaged (if necessary) + if (NULL == (b = (float *)malloc(sizeof(*b) * n * n))) + { + printf("error: memory allocation for 'y'\n"); + iret = -1; + } + //TODO Update malloc to cudaMallocHost or cudaMallocManaged (if necessary) + if (NULL == (c = (float *)malloc(sizeof(*c) * n * n))) + { + printf("error: memory allocation for 'z'\n"); + iret = -1; + } + if (NULL == (g = (float *)malloc(sizeof(*g) * n * n))) + { + printf("error: memory allocation for 'z'\n"); + iret = -1; + } + + if (0 != iret) + { + //TODO Update cudaFreeHost or cudaFree (if necessary) + free(a); + //TODO Update cudaFreeHost or cudaFree (if necessary) + free(b); + //TODO Update cudaFreeHost or cudaFree (if necessary) + free(c); + free(g); + exit(EXIT_FAILURE); + } + + //Init Data + int _b = rand() % TWO04; + int _c = rand() % TWO08; + +#pragma omp parallel for + for (int i = 0; i < n * n; i++) + { + a[i] = _b / (float)TWO02; + b[i] = _c / (float)TWO04; + c[i] = g[i] = 0.0; + } + + clock_gettime(CLOCK_REALTIME, rt + 0); + gemm_host(a, b, g, n); + clock_gettime(CLOCK_REALTIME, rt + 1); + wt = (rt[1].tv_sec - rt[0].tv_sec) + 1.0e-9 * (rt[1].tv_nsec - rt[0].tv_nsec); + printf("GEMM (Host) : %9.3f sec %9.1f GFLOPS\n", wt, 2.0 * n * n * n / (1.0e9 * wt)); + + //TODO Remove if unecessary + float *d_a, *d_b, *d_c; + gpuErrchk(cudaMalloc((void **)&d_a, sizeof(float) * n * n)); + gpuErrchk(cudaMalloc((void **)&d_b, sizeof(float) * n * n)); + gpuErrchk(cudaMalloc((void **)&d_c, sizeof(float) * n * n)); + + clock_gettime(CLOCK_REALTIME, rt + 0); + //TODO Remove if unecessary + gpuErrchk(cudaMemcpy(d_a, a, sizeof(float) * n * n, cudaMemcpyHostToDevice)); + gpuErrchk(cudaMemcpy(d_b, b, sizeof(float) * n * n, cudaMemcpyHostToDevice)); + dim3 dimBlock(BLOCK_SIZE, BLOCK_SIZE); + dim3 dimGrid((n + (BLOCK_SIZE)-1) / (BLOCK_SIZE), (n + (BLOCK_SIZE)-1) / (BLOCK_SIZE)); + gemm<<>>(d_a, d_b, d_c, n); + gpuErrchk(cudaPeekAtLastError()); + //TODO Remove if unecessary + gpuErrchk(cudaMemcpy(c, d_c, sizeof(float) * n * n, cudaMemcpyDeviceToHost)); + clock_gettime(CLOCK_REALTIME, rt + 1); + wt = (rt[1].tv_sec - rt[0].tv_sec) + 1.0e-9 * (rt[1].tv_nsec - rt[0].tv_nsec); + printf("GEMM-v1 (GPU): %9.3f sec %9.1f GFLOPS\n", wt, 2.0 * n * n * n / (1.0e9 * wt)); + + for (int i = 0; i < n * n; i++) + { + iret = *(int *)(g + i) ^ *(int *)(c + i); + assert(iret == 0); + } + + //TODO Update cudaFreeHost or cudaFree (if necessary) + free(a); + //TODO Update cudaFreeHost or cudaFree (if necessary) + free(b); + //TODO Update cudaFreeHost or cudaFree (if necessary) + free(c); + free(g); + //TODO Remove if unecessary + gpuErrchk(cudaFree(d_a)); + //TODO Remove if unecessary + gpuErrchk(cudaFree(d_b)); + //TODO Remove if unecessary + gpuErrchk(cudaFree(d_c)); + + return 0; +} diff --git a/cuda/appendix/saxpy/saxpy.cu b/cuda/appendix/saxpy/saxpy.cu new file mode 100644 index 0000000..578b131 --- /dev/null +++ b/cuda/appendix/saxpy/saxpy.cu @@ -0,0 +1,183 @@ +/* + * BSD 2-Clause License + * + * Copyright (c) 2020, Alessandro Capotondi + * 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. + * + * 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 HOLDER 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. + */ + +/** + * @file saxpy.c + * @author Alessandro Capotondi + * @date 12 May 2020 + * @brief Saxpy + * + * @see https://dolly.fim.unimore.it/2019/course/view.php?id=152 + */ + +#include +#include +#include +#include +#include +#include +#include + +#define gpuErrchk(ans) \ + { \ + gpuAssert((ans), __FILE__, __LINE__); \ + } +static inline void gpuAssert(cudaError_t code, const char *file, int line, bool abort = true) +{ + if (code != cudaSuccess) + { + fprintf(stderr, "GPUassert: %s %s %d\n", cudaGetErrorString(code), file, line); + if (abort) + exit(code); + } +} + +#define TWO02 (1 << 2) +#define TWO04 (1 << 4) +#define TWO08 (1 << 8) +#ifndef N +#define N (1 << 27) +#endif + +#ifndef BLOCK_SIZE +#define BLOCK_SIZE (512) +#endif + +/* + *SAXPY (host implementation) + * y := a * x + y + */ +void host_saxpy(float * __restrict__ y, float a, float * __restrict__ x, int n) +{ +#pragma omp parallel for simd schedule(simd: static) + for (int i = 0; i < n; i++) + { + y[i] = a * x[i] + y[i]; + } +} + +__global__ void gpu_saxpy(float * __restrict__ y, float a, float * __restrict__ x, int n) +{ + int i = blockIdx.x * blockDim.x + threadIdx.x; + if (i < n) + y[i] = a * x[i] + y[i]; +} + +int main(int argc, const char **argv) +{ + int iret = 0; + int n = N; + float *h_x, *d_x; + float *h_y, *d_y; + float *h_z; + float a = 101.0f / TWO02, + b, c; + struct timespec rt[2]; + double wt; // walltime + + if (argc > 1) + n = atoi(argv[1]); + + //TODO Update malloc to cudaMallocHost or cudaMallocManaged (if necessary) + if (NULL == (h_x = (float *)malloc(sizeof(float) * n))) + { + printf("error: memory allocation for 'x'\n"); + iret = -1; + } + //TODO Update malloc to cudaMallocHost or cudaMallocManaged (if necessary) + if (NULL == (h_y = (float *)malloc(sizeof(float) * n))) + { + printf("error: memory allocation for 'y'\n"); + iret = -1; + } + if (NULL == (h_z = (float *)malloc(sizeof(float) * n))) + { + printf("error: memory allocation for 'z'\n"); + iret = -1; + } + if (0 != iret) + { + //TODO Update cudaFreeHost or cudaFree (if necessary) + free(h_x); + //TODO Update cudaFreeHost or cudaFree (if necessary) + free(h_y); + free(h_z); + exit(EXIT_FAILURE); + } + + //Init Data + b = rand() % TWO04; + c = rand() % TWO08; + for (int i = 0; i < n; i++) + { + h_x[i] = b / (float)TWO02; + h_y[i] = h_z[i] = c / (float)TWO04; + } + + //TODO Remove if unecessary + gpuErrchk(cudaMalloc((void **)&d_x, sizeof(float) * n)); + gpuErrchk(cudaMalloc((void **)&d_y, sizeof(float) * n)); + + clock_gettime(CLOCK_REALTIME, rt + 0); + //TODO Remove if unecessary + gpuErrchk(cudaMemcpy(d_x, h_x, sizeof(float) * n, cudaMemcpyHostToDevice)); + gpuErrchk(cudaMemcpy(d_y, h_y, sizeof(float) * n, cudaMemcpyHostToDevice)); + gpu_saxpy<<<((n + BLOCK_SIZE - 1) / BLOCK_SIZE), BLOCK_SIZE>>>(d_y, a, d_x, n); + gpuErrchk(cudaPeekAtLastError()); + //TODO Remove if unecessary + gpuErrchk(cudaMemcpy(h_y, d_y, sizeof(float) * n, cudaMemcpyDeviceToHost)); + clock_gettime(CLOCK_REALTIME, rt + 1); + wt = (rt[1].tv_sec - rt[0].tv_sec) + 1.0e-9 * (rt[1].tv_nsec - rt[0].tv_nsec); + printf("saxpy (GPU): %9.3f sec %9.1f GFLOPS\n", wt, 2 * n / wt); + + //Check Matematical Consistency + clock_gettime(CLOCK_REALTIME, rt + 0); + host_saxpy(h_z, a, h_x, n); + clock_gettime(CLOCK_REALTIME, rt + 1); + wt = (rt[1].tv_sec - rt[0].tv_sec) + 1.0e-9 * (rt[1].tv_nsec - rt[0].tv_nsec); + printf("saxpy (Host): %9.3f sec %9.1f GFLOPS\n", wt, 2 * n / wt); + for (int i = 0; i < n; ++i) + { + iret = *(int *)(h_y + i) ^ *(int *)(h_z + i); + assert(iret == 0); + } + + //TODO Update cudaFreeHost or cudaFree (if necessary) + free(h_x); + //TODO Remove if unecessary + gpuErrchk(cudaFree(d_x)); + //TODO Update cudaFreeHost or cudaFree (if necessary) + free(h_y); + //TODO Remove if unecessary + gpuErrchk(cudaFree(d_y)); + free(h_z); + + // CUDA exit -- needed to flush printf write buffer + cudaDeviceReset(); + return 0; +} diff --git a/cuda/appendix/sobel/data/buzz.jpg b/cuda/appendix/sobel/data/buzz.jpg new file mode 100644 index 0000000000000000000000000000000000000000..c74d23d37e8333d5c02e8e9a75ddb9190d1fd29a GIT binary patch literal 2554296 zcmcG!cU)6V*ESkJdXp*wp$I5N5R@v?rAzOjHz|RH4$@Hp1w#{1L3#&6Co};m(v=c= zfKZegs-YO#7rmeN`QGO{=RN2Ab5?#cd-kj~GuO$^hzpuVn9FRlk7q5x@SO&y|53Vk0ph#!|Go2Pn4jnzK=_|p00I8q2_FamL_~i|65OH1r~l;sTkOaHHwlvdefvKo z{-W8TFm(2XdieXfK_P$auKz*)r@sHX{;|47&7x+`rS1WBu=n74;^yM&=LT`%Qi8a6 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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. + * + * 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 HOLDER 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. + */ + +/** + * @file sobel.cu + * @author Alessandro Capotondi + * @date 5 May 2020 + * @brief Stencil 2d - Sobel + * + * @see https://dolly.fim.unimore.it/2019/course/view.php?id=152 + */ + +#include +#include +#include +#include +#include +#include +#include + +using namespace cv; +using namespace std; + +#ifndef BLOCK_SIZE +#define BLOCK_SIZE 32 +#endif + +#define gpuErrchk(ans) \ + { \ + gpuAssert((ans), __FILE__, __LINE__); \ + } +static inline void gpuAssert(cudaError_t code, const char *file, int line, bool abort = true) +{ + if (code != cudaSuccess) + { + fprintf(stderr, "GPUassert: %s %s %d\n", cudaGetErrorString(code), file, line); + if (abort) + exit(code); + } +} + +void sobel_host(unsigned char *__restrict__ orig, unsigned char *__restrict__ out, int width, int height) +{ +#pragma omp parallel for simd collapse(2) + for (int y = 1; y < height - 1; y++) + { + for (int x = 1; x < width - 1; x++) + { + int dx = (-1 * orig[(y - 1) * width + (x - 1)]) + (-2 * orig[y * width + (x - 1)]) + (-1 * orig[(y + 1) * width + (x - 1)]) + + (orig[(y - 1) * width + (x + 1)]) + (2 * orig[y * width + (x + 1)]) + (orig[(y + 1) * width + (x + 1)]); + int dy = (orig[(y - 1) * width + (x - 1)]) + (2 * orig[(y - 1) * width + x]) + (orig[(y - 1) * width + (x + 1)]) + + (-1 * orig[(y + 1) * width + (x - 1)]) + (-2 * orig[(y + 1) * width + x]) + (-1 * orig[(y + 1) * width + (x + 1)]); + out[y * width + x] = sqrt((float)((dx * dx) + (dy * dy))); + } + } +} + +__global__ void sobel_v1(unsigned char *__restrict__ orig, unsigned char *__restrict__ out, int width, int height) +{ + int i = threadIdx.y + blockIdx.y * blockDim.y; + int j = threadIdx.x + blockIdx.x * blockDim.x; + + if (j > 0 && i > 0 && j < width - 1 && i < height - 1) + { + int dx = (-1 * orig[(i - 1) * width + (j - 1)]) + (-2 * orig[i * width + (j - 1)]) + (-1 * orig[(i + 1) * width + (j - 1)]) + + (orig[(i - 1) * width + (j + 1)]) + (2 * orig[i * width + (j + 1)]) + (orig[(i + 1) * width + (j + 1)]); + int dy = (orig[(i - 1) * width + (j - 1)]) + (2 * orig[(i - 1) * width + j]) + (orig[(i - 1) * width + (j + 1)]) + + (-1 * orig[(i + 1) * width + (j - 1)]) + (-2 * orig[(i + 1) * width + j]) + (-1 * orig[(i + 1) * width + (j + 1)]); + out[i * width + j] = sqrt((float)((dx * dx) + (dy * dy))); + } +} + +__global__ void sobel_v2(unsigned char *__restrict__ orig, unsigned char *__restrict__ out, int width, int height) +{ + //TODO Declare i and j: global output indexes + int i = threadIdx.y + blockIdx.y * blockDim.y; + int j = threadIdx.x + blockIdx.x * blockDim.x; + + //TODO Declare it and jt: Thread row and column of output matrix + int it = threadIdx.y; + int jt = threadIdx.x; + + //TODO Declare shared input patch + __shared__ unsigned char s_in[BLOCK_SIZE][BLOCK_SIZE]; + + //TODO Load input patch + // Each thread loads one element of the patch + s_in[it][jt] = orig[i * width + j]; + + //TODO Synchronize to make sure the sub-matrices are loaded + // before starting the computation + __syncthreads(); + + //TODO if block boundary do + if (jt > 0 && it > 0 && jt < BLOCK_SIZE - 1 && it < BLOCK_SIZE - 1 && j > 0 && i > 0 && j < width - 1 && i < height - 1) + { + int dx = (-1 * s_in[it - 1][jt - 1]) + (-2 * s_in[it][jt - 1]) + (-1 * s_in[it + 1][jt - 1]) + + (s_in[it - 1][jt + 1]) + (2 * s_in[it][jt + 1]) + (s_in[it + 1][jt + 1]); + int dy = (s_in[it - 1][jt - 1]) + (2 * s_in[it - 1][jt]) + (s_in[it - 1][jt + 1]) + + (-1 * s_in[it + 1][jt - 1]) + (-2 * s_in[it + 1][jt]) + (-1 * s_in[it + 1][jt + 1]); + out[i * width + j] = sqrt((float)((dx * dx) + (dy * dy))); + } + else if (j > 0 && i > 0 && j < width - 1 && i < height - 1) + { + //TODO if not-block boundary do (tip check global boundaries) + int dx = (-1 * orig[(i - 1) * width + (j - 1)]) + (-2 * orig[i * width + (j - 1)]) + (-1 * orig[(i + 1) * width + (j - 1)]) + + (orig[(i - 1) * width + (j + 1)]) + (2 * orig[i * width + (j + 1)]) + (orig[(i + 1) * width + (j + 1)]); + int dy = (orig[(i - 1) * width + (j - 1)]) + (2 * orig[(i - 1) * width + j]) + (orig[(i - 1) * width + (j + 1)]) + + (-1 * orig[(i + 1) * width + (j - 1)]) + (-2 * orig[(i + 1) * width + j]) + (-1 * orig[(i + 1) * width + (j + 1)]); + out[i * width + j] = sqrt((float)((dx * dx) + (dy * dy))); + } +} + +__global__ void sobel_v3(unsigned char *__restrict__ orig, unsigned char *__restrict__ out, int width, int height) +{ + //TODO Declare i and j: global output indexes (tip: use BLOCK_SIZE-2) + int i = threadIdx.y + blockIdx.y * (BLOCK_SIZE - 2); + int j = threadIdx.x + blockIdx.x * (BLOCK_SIZE - 2); + + //TODO Declare it and jt: Thread row and column of output matrix + int it = threadIdx.y; + int jt = threadIdx.x; + + //TODO Check if i and j are out of memory + if (i >= width && j >= height) + return; + + //TODO Declare shared input patch + __shared__ unsigned char s_in[BLOCK_SIZE][BLOCK_SIZE]; + + //TODO Load input patch + // Each thread loads one element of the patch + s_in[it][jt] = orig[i * width + j]; + + //TODO Synchronize to make sure the sub-matrices are loaded + // before starting the computation + __syncthreads(); + + //TODO Update block and bound checks + if (jt > 0 && it > 0 && jt < BLOCK_SIZE - 1 && it < BLOCK_SIZE - 1 && j > 0 && i > 0 && j < width - 1 && i < height - 1) + { + int dx = (-1 * s_in[it - 1][jt - 1]) + (-2 * s_in[it][jt - 1]) + (-1 * s_in[it + 1][jt - 1]) + + (s_in[it - 1][jt + 1]) + (2 * s_in[it][jt + 1]) + (s_in[it + 1][jt + 1]); + int dy = (s_in[it - 1][jt - 1]) + (2 * s_in[it - 1][jt]) + (s_in[it - 1][jt + 1]) + + (-1 * s_in[it + 1][jt - 1]) + (-2 * s_in[it + 1][jt]) + (-1 * s_in[it + 1][jt + 1]); + out[i * width + j] = sqrt((float)((dx * dx) + (dy * dy))); + } +} + +__global__ void sobel_v4(unsigned char *__restrict__ orig, unsigned char *__restrict__ out, int width, int height) +{ + //TODO Declare i and j: global output indexes (tip: use BLOCK_SIZE) + int i = threadIdx.y + blockIdx.y * blockDim.y; + int j = threadIdx.x + blockIdx.x * blockDim.x; + + //TODO Declare it and jt: Thread row and column of output matrix + int it = threadIdx.y; + int jt = threadIdx.x; + + //TODO Declare shared input patch (tip: use BLOCK_SIZE+2) + __shared__ unsigned char s_in[BLOCK_SIZE + 32][BLOCK_SIZE + 32]; + + //TODO Load input patch + // Each thread loads one element of the patch + s_in[it][jt] = orig[i * width + j]; + + //TODO Check condition and load remaining elements + if ((it + BLOCK_SIZE) < BLOCK_SIZE + 2 && (jt) < BLOCK_SIZE + 2 && (i + BLOCK_SIZE) < width && (j) < height) + s_in[it + BLOCK_SIZE][jt] = orig[(i + BLOCK_SIZE) * width + j]; + + if ((it) < BLOCK_SIZE + 2 && (jt + BLOCK_SIZE) < BLOCK_SIZE + 2 && (i) < width && (j + BLOCK_SIZE) < height) + s_in[it][jt + BLOCK_SIZE] = orig[i * width + j + BLOCK_SIZE]; + + if ((it + BLOCK_SIZE) < BLOCK_SIZE + 2 && (jt + BLOCK_SIZE) < BLOCK_SIZE + 2 && (i + BLOCK_SIZE) < width && (j + BLOCK_SIZE) < height) + s_in[it + BLOCK_SIZE][jt + BLOCK_SIZE] = orig[(i + BLOCK_SIZE) * width + j + BLOCK_SIZE]; + + //TODO Synchronize to make sure the sub-matrices are loaded + // before starting the computation + __syncthreads(); + + //TODO Update all idx adding y +1 and x +1 + if (jt < BLOCK_SIZE && it < BLOCK_SIZE && j < (width - 2) && i < (height - 2)) + { + int dx = (-1 * s_in[it - 1 + 1][jt - 1 + 1]) + (-2 * s_in[it + 1][jt - 1 + 1]) + (-1 * s_in[it + 1 + 1][jt - 1 + 1]) + + (s_in[it - 1 + 1][jt + 1 + 1]) + (2 * s_in[it + 1][jt + 1 + 1]) + (s_in[it + 1 + 1][jt + 1 + 1]); + int dy = (s_in[it - 1 + 1][jt - 1 + 1]) + (2 * s_in[it - 1 + 1][jt + 1]) + (s_in[it - 1 + 1][jt + 1 + 1]) + + (-1 * s_in[it + 1 + 1][jt - 1 + 1]) + (-2 * s_in[it + 1 + 1][jt + 1]) + (-1 * s_in[it + 1 + 1][jt + 1 + 1]); + out[(i + 1) * width + j + 1] = sqrt((float)((dx * dx) + (dy * dy))); + } +} + +int main(int argc, char *argv[]) +{ + int iret = 0; + struct timespec rt[2]; + double wt; // walltime + string filename("../data/buzz.jpg"); + + if (argc > 1) + filename = argv[1]; + + // Load Image + Mat image = imread(filename, IMREAD_GRAYSCALE); + if (!image.data) + { + cout << "Could not open or find the image" << std::endl; + return -1; + } + int width = image.size().width; + int height = image.size().height; + + // Create Output Images + Mat out1 = image.clone(); + Mat out2 = image.clone(); + Mat result = image.clone(); + memset(out1.ptr(), 0, sizeof(unsigned char) * width * height); + memset(out2.ptr(), 0, sizeof(unsigned char) * width * height); + memset(result.ptr(), 0, sizeof(unsigned char) * width * height); + + // Compute CPU Version - Golden Model + clock_gettime(CLOCK_REALTIME, rt + 0); + sobel_host(image.ptr(), out1.ptr(), width, height); + clock_gettime(CLOCK_REALTIME, rt + 1); + wt = (rt[1].tv_sec - rt[0].tv_sec) + 1.0e-9 * (rt[1].tv_nsec - rt[0].tv_nsec); + printf("Sobel (Host) : %9.6f sec\n", wt); + + //CUDA Buffer Allocation + unsigned char *d_image_in; + unsigned char *d_image_out; + gpuErrchk(cudaMalloc((void **)&d_image_in, sizeof(unsigned char) * width * height)); + gpuErrchk(cudaMalloc((void **)&d_image_out, sizeof(unsigned char) * width * height)); + gpuErrchk(cudaMemset(d_image_out, 0, sizeof(unsigned char) * width * height)); + + clock_gettime(CLOCK_REALTIME, rt + 0); + gpuErrchk(cudaMemcpy(d_image_in, image.ptr(), sizeof(unsigned char) * width * height, cudaMemcpyHostToDevice)); + dim3 dimBlock(BLOCK_SIZE, BLOCK_SIZE); + dim3 dimGrid((width + BLOCK_SIZE - 1) / BLOCK_SIZE, (height + BLOCK_SIZE - 1) / BLOCK_SIZE); + sobel_v1<<>>(d_image_in, d_image_out, width, height); + gpuErrchk(cudaPeekAtLastError()); + gpuErrchk(cudaMemcpy(out2.ptr(), d_image_out, sizeof(unsigned char) * width * height, cudaMemcpyDeviceToHost)); + clock_gettime(CLOCK_REALTIME, rt + 1); + wt = (rt[1].tv_sec - rt[0].tv_sec) + 1.0e-9 * (rt[1].tv_nsec - rt[0].tv_nsec); + printf("Sobel-v1 (GPU) : %9.6f sec\n", wt); + + //Check results + absdiff(out1, out2, result); + int percentage = countNonZero(result); + + //Reset Output image + memset(out2.ptr(), 0, sizeof(unsigned char) * width * height); + gpuErrchk(cudaMemset(d_image_out, 0, sizeof(unsigned char) * width * height)); + + clock_gettime(CLOCK_REALTIME, rt + 0); + gpuErrchk(cudaMemcpy(d_image_in, image.ptr(), sizeof(unsigned char) * width * height, cudaMemcpyHostToDevice)); + // dim3 dimBlock(BLOCK_SIZE, BLOCK_SIZE); + // dim3 dimGrid((width + BLOCK_SIZE - 1) / BLOCK_SIZE, (height + BLOCK_SIZE - 1) / BLOCK_SIZE); + sobel_v2<<>>(d_image_in, d_image_out, width, height); + gpuErrchk(cudaPeekAtLastError()); + gpuErrchk(cudaMemcpy(out2.ptr(), d_image_out, sizeof(unsigned char) * width * height, cudaMemcpyDeviceToHost)); + clock_gettime(CLOCK_REALTIME, rt + 1); + wt = (rt[1].tv_sec - rt[0].tv_sec) + 1.0e-9 * (rt[1].tv_nsec - rt[0].tv_nsec); + printf("Sobel-v2 (GPU) : %9.6f sec\n", wt); + + //Check results + absdiff(out1, out2, result); + percentage = countNonZero(result); + if (percentage) + { + printf("Divergence %d\n", percentage); + imshow("Output GPU", out2); + imshow("error diff", result); + waitKey(0); + } + assert(percentage == 0); + + //Reset Output image + memset(out2.ptr(), 0, sizeof(unsigned char) * width * height); + gpuErrchk(cudaMemset(d_image_out, 0, sizeof(unsigned char) * width * height)); + + clock_gettime(CLOCK_REALTIME, rt + 0); + gpuErrchk(cudaMemcpy(d_image_in, image.ptr(), sizeof(unsigned char) * width * height, cudaMemcpyHostToDevice)); + //TODO define dimGrid, dimBlock + //TODO add sobel_v4 call + dim3 dimBlock_v3(BLOCK_SIZE, BLOCK_SIZE); + dim3 dimGrid_v3((width + (BLOCK_SIZE - 2) - 1) / (BLOCK_SIZE - 2), (height + (BLOCK_SIZE - 2) - 1) / (BLOCK_SIZE - 2)); + sobel_v3<<>>(d_image_in, d_image_out, width, height); + gpuErrchk(cudaPeekAtLastError()); + gpuErrchk(cudaMemcpy(out2.ptr(), d_image_out, sizeof(unsigned char) * width * height, cudaMemcpyDeviceToHost)); + clock_gettime(CLOCK_REALTIME, rt + 1); + wt = (rt[1].tv_sec - rt[0].tv_sec) + 1.0e-9 * (rt[1].tv_nsec - rt[0].tv_nsec); + printf("Sobel-v3 (GPU) : %9.6f sec\n", wt); + + //Check results + absdiff(out1, out2, result); + percentage = countNonZero(result); + if (percentage) + { + printf("Divergence %d\n", percentage); + imshow("Output GPU", out2); + imshow("error diff", result); + waitKey(0); + } + assert(percentage == 0); + + //Reset Output image + memset(out2.ptr(), 0, sizeof(unsigned char) * width * height); + gpuErrchk(cudaMemset(d_image_out, 0, sizeof(unsigned char) * width * height)); + + clock_gettime(CLOCK_REALTIME, rt + 0); + gpuErrchk(cudaMemcpy(d_image_in, image.ptr(), sizeof(unsigned char) * width * height, cudaMemcpyHostToDevice)); + //TODO define dimGrid, dimBlock + //TODO add sobel_v4 call + sobel_v4<<>>(d_image_in, d_image_out, width, height); + gpuErrchk(cudaPeekAtLastError()); + gpuErrchk(cudaMemcpy(out2.ptr(), d_image_out, sizeof(unsigned char) * width * height, cudaMemcpyDeviceToHost)); + clock_gettime(CLOCK_REALTIME, rt + 1); + wt = (rt[1].tv_sec - rt[0].tv_sec) + 1.0e-9 * (rt[1].tv_nsec - rt[0].tv_nsec); + printf("Sobel-v4 (GPU) : %9.6f sec\n", wt); + + //Check results + absdiff(out1, out2, result); + percentage = countNonZero(result); + if (percentage) + { + printf("Divergence %d\n", percentage); + imshow("Output GPU", out2); + imshow("error diff", result); + waitKey(0); + } + assert(percentage == 0); + + gpuErrchk(cudaFree(d_image_out)); + gpuErrchk(cudaFree(d_image_in)); + + return iret; +}

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