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Code Activity

HPC CUDA Lab 3

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Alessandro Capotondi 2021-05-05 10:23:57 +02:00
parent 809d881f2f
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12
README.md
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@ -10,10 +10,14 @@ This repo contains the exercises and the tutorials used for Unimore's HPC class
### OpenMP Exercises
The exercises related to OpenMP programming model can be found in the folder `openmp`. Here the list of currectly available classes:
- `openmp\lab1`: OpenMP basics: *parallel*, *for-loop*, *sections*, and *tasking*.
- `openmp\lab2`: OpenMP Advanced: *reduction*, *tasking*, *optimizations*.
- `openmp\lab1`: OpenMP basics: *parallel*, *for-loop*, *sections*, and *tasking*
- `openmp\lab2`: OpenMP Advanced: *reduction*, *tasking*, *optimizations*
- `openmp\lab3`: OpenMP 4.x+: *Accelerator Model (targeting: Nvidia GP-GPU)*
### CUDA Exercises
- `cuda\lab1`: CUDA Basics.
- `cuda\lab2`: CUDA Memory Model.
- `cuda\lab1`: CUDA Basics
- `cuda\lab2`: CUDA Memory Model
- `cuda\lab3`: CUDA Advanced Host Management
### (Optional)
- `challenge`: Parallelize the code with everything you learned and submit the result before *21 May 2021*

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challenge/Makefile Normal file
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ifndef CUDA_HOME
CUDA_HOME:=/usr/local/cuda
endif
ifndef EXERCISE
EXERCISE=TrackColour.cpp
endif
BUILD_DIR ?= ./build
NVCC=$(CUDA_HOME)/bin/nvcc
CXX=g++
OPT:=-O2 -g
NVOPT:=-Xcompiler -fopenmp -lineinfo -arch=sm_53 --ptxas-options=-v --use_fast_math
CXXFLAGS:=$(OPT) -I. $(EXT_CXXFLAGS) `pkg-config --cflags --libs opencv4`
LDFLAGS:=-lm -lcudart $(EXT_LDFLAGS)
NVCFLAGS:=$(CXXFLAGS) $(NVOPT)
NVLDFLAGS:=$(LDFLAGS) -lgomp
SRCS:= utils.c
OBJS := $(SRCS:%=$(BUILD_DIR)/%.o) $(EXERCISE:%=$(BUILD_DIR)/%.o)
EXE=$(EXERCISE:%=%.exe)
$(EXE): $(OBJS)
$(MKDIR_P) $(dir $@)
$(NVCC) $(NVCFLAGS) $(OBJS) -o $@ $(NVLDFLAGS)
$(BUILD_DIR)/%.cu.o: %.cu
$(MKDIR_P) $(dir $@)
$(NVCC) $(NVCFLAGS) -c $< -o $@
$(BUILD_DIR)/%.cpp.o: %.cpp
$(MKDIR_P) $(dir $@)
$(CXX) $(CXXFLAGS) -c $< -o $@
$(BUILD_DIR)/%.c.o: %.c
$(MKDIR_P) $(dir $@)
$(CXX) $(CXXFLAGS) -c $< -o $@
all: $(EXE)
.PHONY: run profile clean
run: $(EXE)
./$(EXE)
profile: $(EXE)
sudo LD_LIBRARY_PATH=$(CUDA_HOME)/lib:/usr/ext/lib:${LD_LIBRARY_PATH} LIBRARY_PATH=/usr/ext/lib:${LIBRARY_PATH} nvprof ./$(EXE)
clean:
-rm -fr $(BUILD_DIR) *.exe *.out *~
MKDIR_P ?= mkdir -p

283
challenge/TrackColour.cpp Normal file
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@ -0,0 +1,283 @@
/*
* 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 colorTracking.cpp
* @author Alessandro Capotondi
* @date 5 May 2020
* @brief Color Tracking
*
* @see https://dolly.fim.unimore.it/2019/course/view.php?id=152
*/
#include <stdio.h>
#include <time.h>
#include <sys/time.h>
#include <opencv2/opencv.hpp>
#include "opencv2/imgproc/imgproc_c.h"
#include "opencv2/imgproc/imgproc.hpp"
#include <opencv2/imgcodecs/imgcodecs.hpp>
#include <opencv2/objdetect/objdetect.hpp>
#include <opencv2/highgui/highgui.hpp>
using namespace cv;
using namespace std;
#ifdef CHECK
#include "data/sample_ground_truth.h"
#endif
extern "C"
{
#include "utils.h"
}
void ConversionRgb2Hsv(uint8_t *__restrict__ out, uint8_t *__restrict__ in, int width, int height, int nch)
{
// Get Raw Image Data pointer
int pixels = width * height * nch;
//Convert each pixel of input RGB image to HSV
for (int idx = 0; idx < pixels; idx += nch)
{
uint8_t V, S, H;
uint8_t rgb_min, rgb_max, rgb_mm;
//Read color channels
uint8_t red = in[idx];
uint8_t green = in[idx + 1];
uint8_t blue = in[idx + 2];
rgb_max = max(max(red, green), blue);
rgb_min = min(min(red, green), blue);
rgb_mm = rgb_max - rgb_min;
//Value computation
V = rgb_max;
if (V == 0)
H = S = 0;
else
{
//Saturation computation
S = (int)(((long)255 * (long)(rgb_mm)) / (long)V);
if (S == 0)
H = 0;
else
{
//Hue computation
if (rgb_max == red)
H = 0 + 43 * (green - blue) / rgb_mm;
else if (rgb_max == green)
H = 85 + 43 * (blue - red) / rgb_mm;
else
H = 171 + 43 * (red - green) / rgb_mm;
}
}
//Write HSV
out[idx] = (uint8_t)H;
out[idx + 1] = (uint8_t)S;
out[idx + 2] = (uint8_t)V;
}
}
void ImgThreashold(uint8_t *__restrict__ out, uint8_t *__restrict__ in, int32_t thLow[3], int32_t thHi[3], int width, int height, int nch)
{
int pixels = width * height;
uint8_t lb1 = (uint8_t)thLow[0];
uint8_t lb2 = (uint8_t)thLow[1];
uint8_t lb3 = (uint8_t)thLow[2];
uint8_t ub1 = (uint8_t)thHi[0];
uint8_t ub2 = (uint8_t)thHi[1];
uint8_t ub3 = (uint8_t)thHi[2];
for (int idx = 0; idx < pixels; ++idx)
{
out[idx] = ((in[idx * nch] >= lb1) && (in[idx * nch] <= ub1) &&
(in[idx * nch + 1] >= lb2) && (in[idx * nch + 1] <= ub2) &&
(in[idx * nch + 2] >= lb3) && (in[idx * nch + 2] <= ub3))
? 255
: 0;
}
}
void ImgCenterbyMoments(int *y, int *x, uint8_t *__restrict__ in, int width, int height, int nch)
{
uint64_t m_00 = 0, m_01 = 0, m_10 = 0;
for (int i = 0; i < height; ++i)
{
for (int j = 0; j < width; ++j)
{
if (in[i * width + j] > 0)
{
m_00++;
m_01 += j;
m_10 += i;
}
}
}
*y = m_00 ? (double)m_01 / m_00 : 0;
*x = m_00 ? (double)m_10 / m_00 : 0;
}
void ImgMerge(uint8_t *__restrict__ out, uint8_t *__restrict__ in1, uint8_t *__restrict__ in2, int width, int height, int nch)
{
// Get Raw Image Data pointer
int pixels = width * height * nch;
for (int idx = 0; idx < pixels; ++idx)
{
if(in2[idx])
out[idx] = in2[idx];
else
out[idx] = in1[idx];
}
}
int main(int argc, char *argv[])
{
struct timespec rt[2];
double wt;
//Open Video Example
VideoCapture cap("data/sample.avi");
int width = cap.get(CAP_PROP_FRAME_WIDTH);
int height = cap.get(CAP_PROP_FRAME_HEIGHT);
int nCh = 3;
// Upper and Lower Color Threasholds
int32_t thHi[3], thLow[3];
Scalar _thHi, _thLow;
// Frame Buffers
Mat frameRGB = Mat::zeros(height, width, CV_8UC3);
Mat frameHVS = Mat::zeros(height, width, CV_8UC3);
Mat frameTrack = Mat::zeros(height, width, CV_8UC3);
Mat frameMask = Mat::zeros(height, width, CV_8UC1);
//Check Video
if (!cap.isOpened())
{
cout << "[Error] Cannot open the video file" << endl;
return -1;
}
if (argc > 1)
{
if (argc == 7)
{
thLow[0] = atoi(argv[1]);
thLow[1] = atoi(argv[2]);
thLow[2] = atoi(argv[3]);
thHi[0] = atoi(argv[4]);
thHi[1] = atoi(argv[5]);
thHi[2] = atoi(argv[6]);
}
else
{
cout << "[Error] Invalid arguments: usage ./cTracking [thLow(H S V) thHi(H S V)]" << endl;
return -1;
}
}
else
{
//Default Values
thLow[0] = 160;
thLow[1] = 100;
thLow[2] = 100;
thHi[0] = 180;
thHi[1] = 255;
thHi[2] = 255;
}
_thHi = Scalar(thHi[0], thHi[1], thHi[2]);
//Print Information
printf("--------------------------------------\n");
printf("Video Info\n");
printf("--------------------------------------\n");
printf("width :\t%d\n", (int)cap.get(CAP_PROP_FRAME_WIDTH));
printf("height:\t%d\n", (int)cap.get(CAP_PROP_FRAME_HEIGHT));
printf("fps :\t%d\n", (int)cap.get(CAP_PROP_FPS));
printf("--------------------------------------\n");
int lastX = 0;
int lastY = 0;
int posX = 0;
int posY = 0;
#ifdef CHECK
int check_id = 0;
#endif
int nFrames = 0;
double time_cnt = 0.0;
while (1)
{
bool lastFrame = cap.read(frameRGB); // read a new frame from video
if (!lastFrame)
break;
clock_gettime(CLOCK_REALTIME, rt + 0);
ConversionRgb2Hsv(frameHVS.ptr(), frameRGB.ptr(), width, height, nCh);
ImgThreashold(frameMask.ptr(), frameHVS.ptr(), thLow, thHi, width, height, nCh);
ImgCenterbyMoments(&posY, &posX, frameMask.ptr(), width, height, nCh);
// We want to draw a line only if its a valid position
if (lastX > 0 && lastY > 0 && posX > 0 && posY > 0)
line(frameTrack, Point(lastY, lastX), Point(posY, posX), _thHi, 2, CV_8UC3, 0);
ImgMerge(frameRGB.ptr(), frameRGB.ptr(), frameTrack.ptr(), width, height, nCh);
clock_gettime(CLOCK_REALTIME, rt + 1);
time_cnt+= (rt[1].tv_sec - rt[0].tv_sec) + 1.0e-9 * (rt[1].tv_nsec - rt[0].tv_nsec);
nFrames++;
#ifdef DISPLAY
// Show frames
imshow("frameRGB", frameRGB);
imshow("frameMask", frameMask);
imshow("frameTrack", frameTrack);
waitKey(1);
#endif
#ifdef CHECK
assert(ground_truth_YX[check_id++]==posY);
assert(ground_truth_YX[check_id++]==posX);
#endif
lastX = posX;
lastY = posY;
}
printf("ColorTracking: %d frames, %9.6f s per-frame (%9.6f fps)\n", nFrames, time_cnt/nFrames, 1/(time_cnt/nFrames));
//Release Memory - Avoid Memory Leak!
frameRGB.release();
frameHVS.release();
frameTrack.release();
frameMask.release();
cap.release();
return 0;
}

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challenge/data/sample.avi Normal file
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595
challenge/data/sample_ground_truth.h Normal file
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@ -0,0 +1,595 @@
short ground_truth_YX[] = {
950, 522,
950, 522,
950, 522,
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950, 522,
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950, 522,
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798, 317,
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814, 314,
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825, 313,
830, 313,
830, 313,
832, 313,
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836, 314,
838, 314,
838, 314,
838, 317,
836, 320,
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835, 321,
834, 323,
832, 325,
832, 327,
832, 327,
834, 329,
836, 331,
836, 331,
839, 332,
843, 334,
843, 334,
846, 335,
849, 335,
852, 338,
854, 339,
854, 339,
855, 340,
855, 341,
855, 341,
855, 342,
854, 343,
855, 342,
855, 342,
854, 344,
852, 345,
852, 345,
850, 346,
849, 347};

138
challenge/utils.c Normal file
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/*
* 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 utils.c
* @author Alessandro Capotondi
* @date 27 Mar 2020
* @brief File containing utilities functions for HPC Unimore Class
*
* Utilities for OpenMP lab.
*
* @see http://algo.ing.unimo.it/people/andrea/Didattica/HPC/index.html
*/
#define _POSIX_C_SOURCE 199309L
#include <time.h>
#include <limits.h>
#include <math.h>
#include <stdio.h>
#include <assert.h>
extern "C" {
#include "utils.h"
#define MAX_ITERATIONS 100
static struct timespec timestampA, timestampB;
static unsigned long long statistics[MAX_ITERATIONS];
static int iterations = 0;
static unsigned long long __diff_ns(struct timespec start, struct timespec end)
{
struct timespec temp;
if ((end.tv_nsec - start.tv_nsec) < 0)
{
temp.tv_sec = end.tv_sec - start.tv_sec - 1;
temp.tv_nsec = 1000000000ULL + end.tv_nsec - start.tv_nsec;
}
else
{
temp.tv_sec = end.tv_sec - start.tv_sec;
temp.tv_nsec = end.tv_nsec - start.tv_nsec;
}
return temp.tv_nsec + temp.tv_sec * 1000000000ULL;
}
void start_timer()
{
asm volatile("" ::
: "memory");
clock_gettime(CLOCK_MONOTONIC_RAW, &timestampA);
asm volatile("" ::
: "memory");
}
void stop_timer()
{
unsigned long long elapsed = 0ULL;
asm volatile("" ::
: "memory");
clock_gettime(CLOCK_MONOTONIC_RAW, &timestampB);
asm volatile("" ::
: "memory");
}
unsigned long long elapsed_ns()
{
return __diff_ns(timestampA, timestampB);
}
void start_stats()
{
start_timer();
}
void collect_stats()
{
assert(iterations < MAX_ITERATIONS);
stop_timer();
statistics[iterations++] = elapsed_ns();
}
void print_stats()
{
unsigned long long min = ULLONG_MAX;
unsigned long long max = 0LL;
double average = 0.0;
double std_deviation = 0.0;
double sum = 0.0;
/* Compute the sum of all elements */
for (int i = 0; i < iterations; i++)
{
if (statistics[i] > max)
max = statistics[i];
if (statistics[i] < min)
min = statistics[i];
sum = sum + statistics[i] / 1E6;
}
average = sum / (double)iterations;
/* Compute variance and standard deviation */
for (int i = 0; i < iterations; i++)
{
sum = sum + pow((statistics[i] / 1E6 - average), 2);
}
std_deviation = sqrt(sum / (double)iterations);
printf("AvgTime\tMinTime\tMaxTime\tStdDev\n");
printf("%.4f ms\t%.4f ms\t%.4f ms\t%.4f\n", (double)average, (double)min / 1E6, (double)max / 1E6, (double)std_deviation);
}
}

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/*
* 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 utils.h
* @author Alessandro Capotondi
* @date 27 Mar 2020
* @brief File containing utilities functions for HPC Unimore Class
*
* The header define time functions and dummy workload used on the example tests.
*
* @see http://algo.ing.unimo.it/people/andrea/Didattica/HPC/index.html
*/
#ifndef __UTILS_H__
#define __UTILS_H__
#include <stdarg.h>
#if defined(VERBOSE)
#define DEBUG_PRINT(x, ...) printf((x), ##__VA_ARGS__)
#else
#define DEBUG_PRINT(x, ...)
#endif
#if !defined(NTHREADS)
#define NTHREADS (4)
#endif
extern "C"
{
/**
* @brief The function set the timestampA
*
* The function is used to measure elapsed time between two execution points.
* The function start_timer() sets the starting point timestamp, while the function
* stop_timer() sets the termination timestamp. The elapsed time, expressed in nanoseconds,
* between the two points can be retrieved using the function elapsed_ns().
*
* Example usage:
* @code
* start_timer(); // Point A
* //SOME CODE HERE
* stop_timer(); // Point B
* printf("Elapsed time = %llu ns\n", elapsed_ns())); //Elapsed time between A and B
* //SOME OTHER CODE HERE
* stop_timer(); // Point C
* printf("Elapsed time = %llu ns\n", elapsed_ns())); //Elapsed time between A and C
* @endcode
*
* @return void
* @see start_timer()
* @see stop_timer()
* @see elapsed_ns()
*/
void start_timer();
/**
* @brief The function set the second timestamps
*
* The function is used to measure elapsed time between two execution points.
* The function start_timer() sets the starting point timestamp, while the function
* stop_timer() returns the elapsed time, expressed in nanoseconds between the last call
* of start_timer() and the current execution point.
*
* Example usage:
* @code
* start_timer(); // Point A
* //SOME CODE HERE
* stop_timer(); // Point B
* printf("Elapsed time = %llu ns\n", elapsed_ns())); //Elapsed time between A and B
* //SOME OTHER CODE HERE
* stop_timer(); // Point C
* printf("Elapsed time = %llu ns\n", elapsed_ns())); //Elapsed time between A and C
* @endcode
*
* @return void
* @see start_timer()
* @see stop_timer()
* @see elapsed_ns()
*/
void stop_timer();
/**
* @brief Elapsed nano seconds between start_timer() and stop_timer().
*
* @return Elapsed nano seconds
* @see start_timer()
* @see stop_timer()
*/
unsigned long long elapsed_ns();
/**
* @brief The function init the starting point of stat measurement.
*
* The function is similar to start_timer().
*
* @return void
* @see start_timer
*/
void start_stats();
/**
* @brief The function collects the elapsed time between the current exeuction point and the
* last call of start_stats().
*
* @return void
*/
void collect_stats();
/**
* @brief The function display the collected statistics.
* @return void
*/
void print_stats();
}
#endif /*__UTILS_H__*/

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/*
* 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 <assert.h>
#include <stdio.h>
#include <stdlib.h>
#include <time.h>
#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);
}
}
extern "C"
{
#include "utils.h"
}
#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 cudaMallocManaged
gpuErrchk(cudaMallocHost((void **)&a, sizeof(float) * n *n));
gpuErrchk(cudaMallocHost((void **)&b, sizeof(float) * n *n));
gpuErrchk(cudaMallocHost((void **)&c, sizeof(float) * n *n));
if (NULL == (g = (float *)malloc(sizeof(*g) * n * n)))
{
printf("error: memory allocation for 'z'\n");
iret = -1;
}
if (0 != iret)
{
gpuErrchk(cudaFreeHost(a));
gpuErrchk(cudaFreeHost(b));
gpuErrchk(cudaFreeHost(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<<<dimGrid, dimBlock>>>(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)
gpuErrchk(cudaFreeHost(a));
gpuErrchk(cudaFreeHost(b));
gpuErrchk(cudaFreeHost(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;
}

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/*
* 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 <assert.h>
#include <stdio.h>
#include <stdlib.h>
#include <time.h>
#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);
}
}
extern "C"
{
#include "utils.h"
}
#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 cudaMallocManaged
gpuErrchk(cudaMallocManaged((void **)&a, sizeof(float) * n *n));
gpuErrchk(cudaMallocManaged((void **)&b, sizeof(float) * n *n));
gpuErrchk(cudaMallocManaged((void **)&c, sizeof(float) * n *n));
if (NULL == (g = (float *)malloc(sizeof(*g) * n * n)))
{
printf("error: memory allocation for 'z'\n");
iret = -1;
}
if (0 != iret)
{
gpuErrchk(cudaFree(a));
gpuErrchk(cudaFree(b));
gpuErrchk(cudaFree(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));
clock_gettime(CLOCK_REALTIME, rt + 0);
dim3 dimBlock(BLOCK_SIZE, BLOCK_SIZE);
dim3 dimGrid((n + (BLOCK_SIZE)-1) / (BLOCK_SIZE), (n + (BLOCK_SIZE)-1) / (BLOCK_SIZE));
gemm<<<dimGrid, dimBlock>>>(a, b, c, n);
gpuErrchk(cudaPeekAtLastError());
cudaDeviceSynchronize();
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);
}
gpuErrchk(cudaFree(a));
gpuErrchk(cudaFree(b));
gpuErrchk(cudaFree(c));
free(g);
return 0;
}

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/*
* 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 <assert.h>
#include <time.h>
#include <stdlib.h>
#include <stdio.h>
#include <string.h>
#include <math.h>
#include <cuda_runtime.h>
#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);
}
}
extern "C"
{
#include "utils.h"
}
#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;
if (argc > 1)
n = atoi(argv[1]);
//TODO Update malloc to cudaMallocHost or cudaMallocManaged (if necessary)
gpuErrchk(cudaMallocHost((void **)&h_x, sizeof(float) * n));
//TODO Update malloc to cudaMallocHost or cudaMallocManaged (if necessary)
gpuErrchk(cudaMallocHost((void **)&h_y, sizeof(float) * n));
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)
cudaFreeHost(h_x);
//TODO Update cudaFreeHost or cudaFree (if necessary)
cudaFreeHost(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));
start_timer();
//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));
stop_timer();
printf("saxpy (GPU): %9.3f sec %9.1f GFLOPS\n", elapsed_ns() / 1.0e9, 2 * n / ((float)elapsed_ns()));
//Check Matematical Consistency
start_timer();
host_saxpy(h_z, a, h_x, n);
stop_timer();
printf("saxpy (Host): %9.3f sec %9.1f GFLOPS\n", elapsed_ns() / 1.0e9, 2 * n / ((float)elapsed_ns()));
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)
gpuErrchk(cudaFreeHost((void *)h_x));
gpuErrchk(cudaFree(d_x));
//TODO Update cudaFreeHost or cudaFree (if necessary)
gpuErrchk(cudaFreeHost((void *)h_y));
gpuErrchk(cudaFree(d_y));
free(h_z);
// CUDA exit -- needed to flush printf write buffer
cudaDeviceReset();
return 0;
}

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/*
* 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 <assert.h>
#include <time.h>
#include <stdlib.h>
#include <stdio.h>
#include <string.h>
#include <math.h>
#include <cuda_runtime.h>
#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);
}
}
extern "C"
{
#include "utils.h"
}
#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;
float *h_y;
float *h_z;
float a = 101.0f / TWO02,
b, c;
if (argc > 1)
n = atoi(argv[1]);
//TODO Update malloc to cudaMallocHost or cudaMallocManaged (if necessary)
gpuErrchk(cudaMallocManaged((void **)&h_x, sizeof(float) * n));
//TODO Update malloc to cudaMallocHost or cudaMallocManaged (if necessary)
gpuErrchk(cudaMallocManaged((void **)&h_y, sizeof(float) * n));
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)
gpuErrchk(cudaFree(h_x));
//TODO Update cudaFreeHost or cudaFree (if necessary)
gpuErrchk(cudaFree(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
start_timer();
//TODO Remove if unecessary
gpu_saxpy<<<((n + BLOCK_SIZE - 1) / BLOCK_SIZE), BLOCK_SIZE>>>(h_y, a, h_x, n);
gpuErrchk(cudaPeekAtLastError());
//TODO Remove if unecessary
cudaDeviceSynchronize();
stop_timer();
printf("saxpy (GPU): %9.3f sec %9.1f GFLOPS\n", elapsed_ns() / 1.0e9, 2 * n / ((float) elapsed_ns()));
//Check Matematical Consistency
start_timer();
host_saxpy(h_z, a, h_x, n);
stop_timer();
printf("saxpy (Host): %9.3f sec %9.1f GFLOPS\n", elapsed_ns() / 1.0e9, 2 * n / ((float) elapsed_ns()));
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)
gpuErrchk(cudaFree(h_x));
gpuErrchk(cudaFree(h_y));
free(h_z);
// CUDA exit -- needed to flush printf write buffer
cudaDeviceReset();
return 0;
}

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/*
* 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 <assert.h>
#include <time.h>
#include <stdlib.h>
#include <stdio.h>
#include <string.h>
#include <math.h>
#include <cuda_runtime.h>
#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);
}
}
extern "C"
{
#include "utils.h"
}
#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;
if (argc > 1)
n = atoi(argv[1]);
if (NULL == (h_x = (float *)malloc(sizeof(float) * n)))
{
printf("error: memory allocation for 'x'\n");
iret = -1;
}
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)
{
free(h_x);
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;
}
//CUDA Buffer Allocation
gpuErrchk(cudaMalloc((void **)&d_x, sizeof(float) * n));
gpuErrchk(cudaMalloc((void **)&d_y, sizeof(float) * n));
start_timer();
int TILE = n / 8;
//TODO Copy the first Tile (i=0)
gpuErrchk(cudaMemcpyAsync(&d_x[0], &h_x[0], sizeof(float) * TILE, cudaMemcpyHostToDevice));
gpuErrchk(cudaMemcpyAsync(&d_y[0], &h_y[0], sizeof(float) * TILE, cudaMemcpyHostToDevice));
//TODO Loop over the Tiles
for (int i = 0; i < n; i += TILE)
{
//TODO Wait Tile i
cudaDeviceSynchronize();
//TODO Copy the out tile i-1
if(i>0)
gpuErrchk(cudaMemcpyAsync(&h_y[i-TILE], &d_y[i-TILE], sizeof(float) * TILE, cudaMemcpyDeviceToHost));
//TODO Launch Kernel over tile i
gpu_saxpy<<<((TILE + BLOCK_SIZE - 1) / BLOCK_SIZE), BLOCK_SIZE>>>(&d_y[i], a, &d_x[i], TILE);
//TODO Copy the in tile i+=TILE
if(i+TILE < n){
gpuErrchk(cudaMemcpyAsync(&d_x[i+TILE], &h_x[i+TILE], sizeof(float) * TILE, cudaMemcpyHostToDevice));
gpuErrchk(cudaMemcpyAsync(&d_y[i+TILE], &h_y[i+TILE], sizeof(float) * TILE, cudaMemcpyHostToDevice));
}
}
//TODO Copy out the last tile n-TILE
gpuErrchk(cudaMemcpyAsync(&h_y[n-TILE], &d_y[n-TILE], sizeof(float) * TILE, cudaMemcpyDeviceToHost));
//TODO Wait last tile
cudaDeviceSynchronize();
stop_timer();
printf("saxpy (GPU): %9.3f sec %9.1f GFLOPS\n", elapsed_ns() / 1.0e9, 2 * n / ((float) elapsed_ns()));
//Check Matematical Consistency
start_timer();
host_saxpy(h_z, a, h_x, n);
stop_timer();
printf("saxpy (Host): %9.3f sec %9.1f GFLOPS\n", elapsed_ns() / 1.0e9, 2 * n / ((float) elapsed_ns()));
for (int i = 0; i < n; ++i)
{
iret = *(int *)(h_y + i) ^ *(int *)(h_z + i);
assert(iret == 0);
}
//CUDA Buffer Allocation
free(h_x);
gpuErrchk(cudaFree(d_x));
free(h_y);
gpuErrchk(cudaFree(d_y));
free(h_z);
// CUDA exit -- needed to flush printf write buffer
cudaDeviceReset();
return 0;
}

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/*
* 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 <assert.h>
#include <time.h>
#include <stdlib.h>
#include <stdio.h>
#include <string.h>
#include <math.h>
#include <cuda_runtime.h>
#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);
}
}
extern "C"
{
#include "utils.h"
}
#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
#ifndef N_STREAMS
#define N_STREAMS (16)
#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;
if (argc > 1)
n = atoi(argv[1]);
if (NULL == (h_x = (float *)malloc(sizeof(float) * n)))
{
printf("error: memory allocation for 'x'\n");
iret = -1;
}
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)
{
free(h_x);
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;
}
//CUDA Buffer Allocation
gpuErrchk(cudaMalloc((void **)&d_x, sizeof(float) * n));
gpuErrchk(cudaMalloc((void **)&d_y, sizeof(float) * n));
start_timer();
int TILE = n / N_STREAMS;
cudaStream_t stream[N_STREAMS];
for(int i = 0; i < N_STREAMS; i++)
cudaStreamCreate(&stream[i]);
//TODO Loop over the Tiles
for (int i = 0; i < n; i += TILE)
{
//TODO Copy in Tile i (stream i)
gpuErrchk(cudaMemcpyAsync(&d_x[i], &h_x[i], sizeof(float) * TILE, cudaMemcpyHostToDevice, stream[i/TILE]));
gpuErrchk(cudaMemcpyAsync(&d_y[i], &h_y[i], sizeof(float) * TILE, cudaMemcpyHostToDevice, stream[i/TILE]));
//TODO Kernel Tile i (stream i)
gpu_saxpy<<<((TILE + BLOCK_SIZE - 1) / BLOCK_SIZE), BLOCK_SIZE,0,stream[i/TILE]>>>(&d_y[i], a, &d_x[i], TILE);
//TODO Copy out Tile i (stream i)
gpuErrchk(cudaMemcpyAsync(&h_y[i], &d_y[i], sizeof(float) * TILE, cudaMemcpyDeviceToHost,stream[i/TILE]));
}
//TODO Wait all the streams...
cudaDeviceSynchronize();
stop_timer();
printf("saxpy (GPU): %9.3f sec %9.1f GFLOPS\n", elapsed_ns() / 1.0e9, 2 * n / ((float) elapsed_ns()));
//Check Matematical Consistency
start_timer();
host_saxpy(h_z, a, h_x, n);
stop_timer();
printf("saxpy (Host): %9.3f sec %9.1f GFLOPS\n", elapsed_ns() / 1.0e9, 2 * n / ((float) elapsed_ns()));
for (int i = 0; i < n; ++i)
{
iret = *(int *)(h_y + i) ^ *(int *)(h_z + i);
assert(iret == 0);
}
free(h_x);
gpuErrchk(cudaFree(d_x));
free(h_y);
gpuErrchk(cudaFree(d_y));
free(h_z);
for (int i=0; i<N_STREAMS; ++i)
cudaStreamDestroy(stream[i]);
// CUDA exit -- needed to flush printf write buffer
cudaDeviceReset();
return 0;
}

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/*
* 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 <assert.h>
#include <time.h>
#include <stdlib.h>
#include <stdio.h>
#include <string.h>
#include <math.h>
#include <cuda_runtime.h>
#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);
}
}
extern "C"
{
#include "utils.h"
}
#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 (128)
#endif
#ifndef N_STREAMS
#define N_STREAMS (16)
#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;
float *h_y;
float *h_z;
float a = 101.0f / TWO02,
b, c;
if (argc > 1)
n = atoi(argv[1]);
//CUDA Buffer Allocation
gpuErrchk(cudaMallocManaged((void **)&h_x, sizeof(float) * n));
gpuErrchk(cudaMallocManaged((void **)&h_y, sizeof(float) * n));
if (NULL == (h_z = (float *)malloc(sizeof(float) * n)))
{
printf("error: memory allocation for 'z'\n");
iret = -1;
}
if (0 != iret)
{
gpuErrchk(cudaFree(h_x));
gpuErrchk(cudaFree(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;
}
start_timer();
int TILE = n / N_STREAMS;
cudaStream_t stream[N_STREAMS];
for (int i = 0; i < N_STREAMS; i++)
cudaStreamCreate(&stream[i]);
//TODO Loop over the Tiles
for (int i = 0; i < n; i += TILE)
{
//TODO Kernel Tile i (stream i)
gpu_saxpy<<<((TILE + BLOCK_SIZE - 1) / BLOCK_SIZE), BLOCK_SIZE, 0, stream[i / TILE]>>>(&h_y[i], a, &h_x[i], TILE);
}
//TODO Wait all the streams...
cudaDeviceSynchronize();
stop_timer();
printf("saxpy (GPU): %9.3f sec %9.1f GFLOPS\n", elapsed_ns() / 1.0e9, 2 * n / ((float)elapsed_ns()));
//Check Matematical Consistency
start_timer();
host_saxpy(h_z, a, h_x, n);
stop_timer();
printf("saxpy (Host): %9.3f sec %9.1f GFLOPS\n", elapsed_ns() / 1.0e9, 2 * n / ((float)elapsed_ns()));
for (int i = 0; i < n; ++i)
{
iret = *(int *)(h_y + i) ^ *(int *)(h_z + i);
assert(iret == 0);
}
gpuErrchk(cudaFree(h_x));
gpuErrchk(cudaFree(h_y));
free(h_z);
for (int i = 0; i < N_STREAMS; ++i)
cudaStreamDestroy(stream[i]);
// CUDA exit -- needed to flush printf write buffer
cudaDeviceReset();
return 0;
}

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/*
* 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 sobel.cu
* @author Alessandro Capotondi
* @date 12 May 2020
* @brief Sobel Filtering
*
* @see https://dolly.fim.unimore.it/2019/course/view.php?id=152
*/
#include <stdio.h>
#include <time.h>
#include <sys/time.h>
#include <opencv2/opencv.hpp>
#include <opencv2/imgcodecs/imgcodecs.hpp>
#include <opencv2/objdetect/objdetect.hpp>
#include <opencv2/highgui/highgui.hpp>
using namespace cv;
using namespace std;
#ifndef BLOCK_SIZE
#define BLOCK_SIZE 16
#endif
#ifndef NSTREAMS
#define NSTREAMS 12
#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);
}
}
extern "C"
{
#include "utils.h"
}
int FILTER_HOST[3][3] = {{-1, 0, 1},
{-2, 0, 2},
{-1, 0, 1}};
void sobel_host(unsigned char *__restrict__ orig, unsigned char *__restrict__ out, int width, int height)
{
#pragma omp parallel for collapse(2)
for (int y = 1; y < height - 1; y++)
{
for (int x = 1; x < width - 1; x++)
{
int dx = 0, dy = 0;
for (int k = -1; k <= 1; k++)
{
for (int z = -1; z <= 1; z++)
{
dx += FILTER_HOST[k + 1][z + 1] * orig[(y + k) * width + x + z];
dy += FILTER_HOST[z + 1][k + 1] * orig[(y + k) * width + x + z];
}
}
out[y * width + x] = sqrt((float)((dx * dx) + (dy * dy)));
}
}
}
__constant__ int FILTER_GPU[3][3] = {{-1, 0, 1},
{-2, 0, 2},
{-1, 0, 1}};
__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 = 0, dy = 0;
for (int k = -1; k <= 1; k++)
{
for (int z = -1; z <= 1; z++)
{
dx += FILTER_GPU[k + 1][z + 1] * orig[(i + k) * width + j + z];
dy += FILTER_GPU[z + 1][k + 1] * orig[(i + k) * width + j + z];
}
}
out[i * width + j] = sqrt((float)((dx * dx) + (dy * dy)));
}
}
int main(int argc, char *argv[])
{
int iret = 0;
struct timespec rt[2];
string filename("data/sample.avi");
if (argc > 1)
filename = argv[1];
//Open Video Example
VideoCapture cap(filename);
// Check if camera opened successfully
if (!cap.isOpened())
{
cout << "Error opening video stream or file" << endl;
return -1;
}
int width = cap.get(CAP_PROP_FRAME_WIDTH);
int height = cap.get(CAP_PROP_FRAME_HEIGHT);
int nCh = 3;
// Frame Buffers
Mat frameRGB = Mat::zeros(height, width, CV_8UC3);
Mat frameIn = Mat::zeros(height, width, CV_8UC1);
Mat frameOut = Mat::zeros(height, width, CV_8UC1);
int nFrames = 0;
double time_cnt = 0.0;
while (1)
{
bool lastFrame = cap.read(frameRGB); // read a new frame from video
if (!lastFrame)
break;
cvtColor(frameRGB, frameIn, COLOR_BGR2GRAY);
// Compute CPU Version - Golden Model
clock_gettime(CLOCK_REALTIME, rt + 0);
sobel_host(frameIn.ptr(), frameOut.ptr(), width, height);
clock_gettime(CLOCK_REALTIME, rt + 1);
time_cnt+= (rt[1].tv_sec - rt[0].tv_sec) + 1.0e-9 * (rt[1].tv_nsec - rt[0].tv_nsec);
nFrames++;
#ifdef DISPLAY
// Show frames
imshow("frameIn", frameIn);
imshow("frameOut", frameOut);
waitKey(1);
#endif
}
printf("Sobel (Host) : %d frames, %9.6f s per-frame (%9.6f fps)\n", nFrames, time_cnt/nFrames, 1/(time_cnt/nFrames));
// CUDA VERSION --------------------------------------------------
//Open Video Example
cap = VideoCapture(filename);
// Check if camera opened successfully
if (!cap.isOpened())
{
cout << "Error opening video stream or file" << endl;
return -1;
}
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));
cudaStream_t stream[NSTREAMS];
for(int i = 0; i < NSTREAMS; i++)
cudaStreamCreate(&stream[i]);
nFrames = 0;
time_cnt = 0.0;
while (1)
{
bool lastFrame = cap.read(frameRGB); // read a new frame from video
if (!lastFrame)
break;
cvtColor(frameRGB, frameIn, COLOR_BGR2GRAY);
// Compute CPU Version - Golden Model
clock_gettime(CLOCK_REALTIME, rt + 0);
gpuErrchk(cudaMemcpyAsync(d_image_in, frameIn.ptr(), sizeof(unsigned char) * width * height, cudaMemcpyHostToDevice,stream[nFrames%NSTREAMS]));
dim3 dimBlock(BLOCK_SIZE, BLOCK_SIZE);
dim3 dimGrid((width + BLOCK_SIZE - 1) / BLOCK_SIZE, (height + BLOCK_SIZE - 1) / BLOCK_SIZE);
sobel_v1<<<dimGrid, dimBlock,0,stream[nFrames%NSTREAMS]>>>(d_image_in, d_image_out, width, height);
gpuErrchk(cudaPeekAtLastError());
gpuErrchk(cudaMemcpyAsync(frameOut.ptr(), d_image_out, sizeof(unsigned char) * width * height, cudaMemcpyDeviceToHost,stream[nFrames%NSTREAMS]));
clock_gettime(CLOCK_REALTIME, rt + 1);
time_cnt+= (rt[1].tv_sec - rt[0].tv_sec) + 1.0e-9 * (rt[1].tv_nsec - rt[0].tv_nsec);
nFrames++;
#ifdef DISPLAY
// Show frames
imshow("frameIn", frameIn);
imshow("frameOut", frameOut);
waitKey(1);
#endif
}
cudaDeviceSynchronize();
printf("Sobel (GPU) : %d frames, %9.6f s per-frame (%9.6f fps)\n", nFrames, time_cnt/nFrames, 1/(time_cnt/nFrames));
gpuErrchk(cudaFree(d_image_out));
gpuErrchk(cudaFree(d_image_in));
for (int i=0; i<NSTREAMS; ++i)
gpuErrchk(cudaStreamDestroy(stream[i]));
frameOut.release();
frameIn.release();
frameRGB.release();
cap.release();
return iret;
}

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ifndef CUDA_HOME
CUDA_HOME:=/usr/local/cuda
endif
ifndef EXERCISE
EXERCISE=exercise1.cu
endif
BUILD_DIR ?= ./build
NVCC=$(CUDA_HOME)/bin/nvcc
CXX=g++
OPT:=-O2 -g
NVOPT:=-Xcompiler -fopenmp -lineinfo -arch=sm_53 --ptxas-options=-v --use_fast_math `pkg-config --cflags --libs opencv4`
CXXFLAGS:=$(OPT) -I. $(EXT_CXXFLAGS)
LDFLAGS:=-lm -lcudart $(EXT_LDFLAGS)
NVCFLAGS:=$(CXXFLAGS) $(NVOPT)
NVLDFLAGS:=$(LDFLAGS) -lgomp
SRCS:= utils.c
OBJS := $(SRCS:%=$(BUILD_DIR)/%.o) $(EXERCISE:%=$(BUILD_DIR)/%.o)
EXE=$(EXERCISE:.cu=.exe)
$(EXE): $(OBJS)
$(MKDIR_P) $(dir $@)
$(NVCC) $(NVCFLAGS) $(OBJS) -o $@ $(NVLDFLAGS)
$(BUILD_DIR)/%.cu.o: %.cu
$(MKDIR_P) $(dir $@)
$(NVCC) $(NVCFLAGS) -c $< -o $@
$(BUILD_DIR)/%.cpp.o: %.cpp
$(MKDIR_P) $(dir $@)
$(CXX) $(CXXFLAGS) -c $< -o $@
$(BUILD_DIR)/%.c.o: %.c
$(MKDIR_P) $(dir $@)
$(CXX) $(CXXFLAGS) -c $< -o $@
all: $(EXE)
.PHONY: run profile clean
run: $(EXE)
./$(EXE)
profile: $(EXE)
sudo LD_LIBRARY_PATH=$(CUDA_HOME)/lib:/usr/ext/lib:${LD_LIBRARY_PATH} LIBRARY_PATH=/usr/ext/lib:${LIBRARY_PATH} nvprof ./$(EXE)
metrics: $(EXE)
sudo LD_LIBRARY_PATH=$(CUDA_HOME)/lib:/usr/ext/lib:${LD_LIBRARY_PATH} LIBRARY_PATH=/usr/ext/lib:${LIBRARY_PATH} nvprof --print-gpu-trace --metrics "eligible_warps_per_cycle,achieved_occupancy,sm_efficiency,ipc" ./$(EXE)
clean:
-rm -fr $(BUILD_DIR) *.exe *.out *~
MKDIR_P ?= mkdir -p

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/*
* 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 <assert.h>
#include <stdio.h>
#include <stdlib.h>
#include <time.h>
#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);
}
}
extern "C"
{
#include "utils.h"
}
#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<<<dimGrid, dimBlock>>>(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;
}

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/*
* 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 <assert.h>
#include <time.h>
#include <stdlib.h>
#include <stdio.h>
#include <string.h>
#include <math.h>
#include <cuda_runtime.h>
#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);
}
}
extern "C"
{
#include "utils.h"
}
#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;
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));
start_timer();
//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));
stop_timer();
printf("saxpy (GPU): %9.3f sec %9.1f GFLOPS\n", elapsed_ns() / 1.0e9, 2 * n / ((float) elapsed_ns()));
//Check Matematical Consistency
start_timer();
host_saxpy(h_z, a, h_x, n);
stop_timer();
printf("saxpy (Host): %9.3f sec %9.1f GFLOPS\n", elapsed_ns() / 1.0e9, 2 * n / ((float) elapsed_ns()));
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;
}

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/*
* 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 sobel.cu
* @author Alessandro Capotondi
* @date 12 May 2020
* @brief Sobel Filtering
*
* @see https://dolly.fim.unimore.it/2019/course/view.php?id=152
*/
#include <stdio.h>
#include <time.h>
#include <sys/time.h>
#include <opencv2/opencv.hpp>
#include <opencv2/imgcodecs/imgcodecs.hpp>
#include <opencv2/objdetect/objdetect.hpp>
#include <opencv2/highgui/highgui.hpp>
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);
}
}
extern "C"
{
#include "utils.h"
}
int FILTER_HOST[3][3] = {{-1, 0, 1},
{-2, 0, 2},
{-1, 0, 1}};
void sobel_host(unsigned char *__restrict__ orig, unsigned char *__restrict__ out, int width, int height)
{
#pragma omp parallel for collapse(2)
for (int y = 1; y < height - 1; y++)
{
for (int x = 1; x < width - 1; x++)
{
int dx = 0, dy = 0;
for (int k = -1; k <= 1; k++)
{
for (int z = -1; z <= 1; z++)
{
dx += FILTER_HOST[k + 1][z + 1] * orig[(y + k) * width + x + z];
dy += FILTER_HOST[z + 1][k + 1] * orig[(y + k) * width + x + z];
}
}
out[y * width + x] = sqrt((float)((dx * dx) + (dy * dy)));
}
}
}
__constant__ int FILTER_GPU[3][3] = {{-1, 0, 1},
{-2, 0, 2},
{-1, 0, 1}};
__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 = 0, dy = 0;
for (int k = -1; k <= 1; k++)
{
for (int z = -1; z <= 1; z++)
{
dx += FILTER_GPU[k + 1][z + 1] * orig[(i + k) * width + j + z];
dy += FILTER_GPU[z + 1][k + 1] * orig[(i + k) * width + j + z];
}
}
out[i * width + j] = sqrt((float)((dx * dx) + (dy * dy)));
}
}
int main(int argc, char *argv[])
{
int iret = 0;
struct timespec rt[2];
string filename("data/sample.avi");
if (argc > 1)
filename = argv[1];
//Open Video Example
VideoCapture cap(filename);
// Check if camera opened successfully
if (!cap.isOpened())
{
cout << "Error opening video stream or file" << endl;
return -1;
}
int width = cap.get(CAP_PROP_FRAME_WIDTH);
int height = cap.get(CAP_PROP_FRAME_HEIGHT);
int nCh = 3;
// Frame Buffers
Mat frameRGB = Mat::zeros(height, width, CV_8UC3);
Mat frameIn = Mat::zeros(height, width, CV_8UC1);
Mat frameOut = Mat::zeros(height, width, CV_8UC1);
int nFrames = 0;
double time_cnt = 0.0;
while (1)
{
bool lastFrame = cap.read(frameRGB); // read a new frame from video
if (!lastFrame)
break;
cvtColor(frameRGB, frameIn, COLOR_BGR2GRAY);
// Compute CPU Version - Golden Model
clock_gettime(CLOCK_REALTIME, rt + 0);
sobel_host(frameIn.ptr(), frameOut.ptr(), width, height);
clock_gettime(CLOCK_REALTIME, rt + 1);
time_cnt+= (rt[1].tv_sec - rt[0].tv_sec) + 1.0e-9 * (rt[1].tv_nsec - rt[0].tv_nsec);
nFrames++;
#ifdef DISPLAY
// Show frames
imshow("frameIn", frameIn);
imshow("frameOut", frameOut);
waitKey(1);
#endif
}
printf("Sobel (Host) : %d frames, %9.6f s per-frame (%9.6f fps)\n", nFrames, time_cnt/nFrames, 1/(time_cnt/nFrames));
// CUDA VERSION --------------------------------------------------
//Open Video Example
cap = VideoCapture(filename);
// Check if camera opened successfully
if (!cap.isOpened())
{
cout << "Error opening video stream or file" << endl;
return -1;
}
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));
nFrames = 0;
time_cnt = 0.0;
while (1)
{
bool lastFrame = cap.read(frameRGB); // read a new frame from video
if (!lastFrame)
break;
cvtColor(frameRGB, frameIn, COLOR_BGR2GRAY);
// Compute CPU Version - Golden Model
clock_gettime(CLOCK_REALTIME, rt + 0);
gpuErrchk(cudaMemcpy(d_image_in, frameIn.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<<<dimGrid, dimBlock>>>(d_image_in, d_image_out, width, height);
gpuErrchk(cudaPeekAtLastError());
gpuErrchk(cudaMemcpy(frameOut.ptr(), d_image_out, sizeof(unsigned char) * width * height, cudaMemcpyDeviceToHost));
clock_gettime(CLOCK_REALTIME, rt + 1);
time_cnt+= (rt[1].tv_sec - rt[0].tv_sec) + 1.0e-9 * (rt[1].tv_nsec - rt[0].tv_nsec);
nFrames++;
#ifdef DISPLAY
// Show frames
imshow("frameIn", frameIn);
imshow("frameOut", frameOut);
waitKey(1);
#endif
}
printf("Sobel (GPU) : %d frames, %9.6f s per-frame (%9.6f fps)\n", nFrames, time_cnt/nFrames, 1/(time_cnt/nFrames));
gpuErrchk(cudaFree(d_image_out));
gpuErrchk(cudaFree(d_image_in));
frameOut.release();
frameIn.release();
frameRGB.release();
cap.release();
return iret;
}

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/*
* 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 utils.c
* @author Alessandro Capotondi
* @date 27 Mar 2020
* @brief File containing utilities functions for HPC Unimore Class
*
* Utilities for OpenMP lab.
*
* @see http://algo.ing.unimo.it/people/andrea/Didattica/HPC/index.html
*/
#define _POSIX_C_SOURCE 199309L
#include <time.h>
#include <limits.h>
#include <math.h>
#include <stdio.h>
#include <assert.h>
extern "C" {
#include "utils.h"
#define MAX_ITERATIONS 100
static struct timespec timestampA, timestampB;
static unsigned long long statistics[MAX_ITERATIONS];
static int iterations = 0;
static unsigned long long __diff_ns(struct timespec start, struct timespec end)
{
struct timespec temp;
if ((end.tv_nsec - start.tv_nsec) < 0)
{
temp.tv_sec = end.tv_sec - start.tv_sec - 1;
temp.tv_nsec = 1000000000ULL + end.tv_nsec - start.tv_nsec;
}
else
{
temp.tv_sec = end.tv_sec - start.tv_sec;
temp.tv_nsec = end.tv_nsec - start.tv_nsec;
}
return temp.tv_nsec + temp.tv_sec * 1000000000ULL;
}
void start_timer()
{
asm volatile("" ::
: "memory");
clock_gettime(CLOCK_MONOTONIC_RAW, &timestampA);
asm volatile("" ::
: "memory");
}
void stop_timer()
{
unsigned long long elapsed = 0ULL;
asm volatile("" ::
: "memory");
clock_gettime(CLOCK_MONOTONIC_RAW, &timestampB);
asm volatile("" ::
: "memory");
}
unsigned long long elapsed_ns()
{
return __diff_ns(timestampA, timestampB);
}
void start_stats()
{
start_timer();
}
void collect_stats()
{
assert(iterations < MAX_ITERATIONS);
stop_timer();
statistics[iterations++] = elapsed_ns();
}
void print_stats()
{
unsigned long long min = ULLONG_MAX;
unsigned long long max = 0LL;
double average = 0.0;
double std_deviation = 0.0;
double sum = 0.0;
/* Compute the sum of all elements */
for (int i = 0; i < iterations; i++)
{
if (statistics[i] > max)
max = statistics[i];
if (statistics[i] < min)
min = statistics[i];
sum = sum + statistics[i] / 1E6;
}
average = sum / (double)iterations;
/* Compute variance and standard deviation */
for (int i = 0; i < iterations; i++)
{
sum = sum + pow((statistics[i] / 1E6 - average), 2);
}
std_deviation = sqrt(sum / (double)iterations);
printf("AvgTime\tMinTime\tMaxTime\tStdDev\n");
printf("%.4f ms\t%.4f ms\t%.4f ms\t%.4f\n", (double)average, (double)min / 1E6, (double)max / 1E6, (double)std_deviation);
}
}

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/*
* 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 utils.h
* @author Alessandro Capotondi
* @date 27 Mar 2020
* @brief File containing utilities functions for HPC Unimore Class
*
* The header define time functions and dummy workload used on the example tests.
*
* @see http://algo.ing.unimo.it/people/andrea/Didattica/HPC/index.html
*/
#ifndef __UTILS_H__
#define __UTILS_H__
#include <stdarg.h>
#if defined(VERBOSE)
#define DEBUG_PRINT(x, ...) printf((x), ##__VA_ARGS__)
#else
#define DEBUG_PRINT(x, ...)
#endif
#if !defined(NTHREADS)
#define NTHREADS (4)
#endif
extern "C"
{
/**
* @brief The function set the timestampA
*
* The function is used to measure elapsed time between two execution points.
* The function start_timer() sets the starting point timestamp, while the function
* stop_timer() sets the termination timestamp. The elapsed time, expressed in nanoseconds,
* between the two points can be retrieved using the function elapsed_ns().
*
* Example usage:
* @code
* start_timer(); // Point A
* //SOME CODE HERE
* stop_timer(); // Point B
* printf("Elapsed time = %llu ns\n", elapsed_ns())); //Elapsed time between A and B
* //SOME OTHER CODE HERE
* stop_timer(); // Point C
* printf("Elapsed time = %llu ns\n", elapsed_ns())); //Elapsed time between A and C
* @endcode
*
* @return void
* @see start_timer()
* @see stop_timer()
* @see elapsed_ns()
*/
void start_timer();
/**
* @brief The function set the second timestamps
*
* The function is used to measure elapsed time between two execution points.
* The function start_timer() sets the starting point timestamp, while the function
* stop_timer() returns the elapsed time, expressed in nanoseconds between the last call
* of start_timer() and the current execution point.
*
* Example usage:
* @code
* start_timer(); // Point A
* //SOME CODE HERE
* stop_timer(); // Point B
* printf("Elapsed time = %llu ns\n", elapsed_ns())); //Elapsed time between A and B
* //SOME OTHER CODE HERE
* stop_timer(); // Point C
* printf("Elapsed time = %llu ns\n", elapsed_ns())); //Elapsed time between A and C
* @endcode
*
* @return void
* @see start_timer()
* @see stop_timer()
* @see elapsed_ns()
*/
void stop_timer();
/**
* @brief Elapsed nano seconds between start_timer() and stop_timer().
*
* @return Elapsed nano seconds
* @see start_timer()
* @see stop_timer()
*/
unsigned long long elapsed_ns();
/**
* @brief The function init the starting point of stat measurement.
*
* The function is similar to start_timer().
*
* @return void
* @see start_timer
*/
void start_stats();
/**
* @brief The function collects the elapsed time between the current exeuction point and the
* last call of start_stats().
*
* @return void
*/
void collect_stats();
/**
* @brief The function display the collected statistics.
* @return void
*/
void print_stats();
}
#endif /*__UTILS_H__*/