1
Fork 0
mirror of https://github.com/Steffo99/unimore-hpc-assignments.git synced 2024-11-23 00:24:23 +00:00
hpc-2022-g3/cuda/lab1/exercise1.cu
Alessandro Capotondi 0d0b0f04cf HPC CUDA Lab 1
2021-04-28 11:09:08 +02:00

76 lines
2.3 KiB
Text
Raw Blame History

This file contains invisible Unicode characters

This file contains invisible Unicode characters that are indistinguishable to humans but may be processed differently by a computer. If you think that this is intentional, you can safely ignore this warning. Use the Escape button to reveal them.

/*
* 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 exercise1.cu
* @author Alessandro Capotondi
* @date 27 Mar 2020
* @brief Exercise 1
*
* @see https://dolly.fim.unimore.it/2019/course/view.php?id=152
*/
#include <stdlib.h>
#include <stdio.h>
#include <string.h>
#include <math.h>
#include <cuda_runtime.h>
#ifndef N
#define N 32
#endif
#ifndef BLOCK_SIZE
#define BLOCK_SIZE 4
#endif
/**
* @brief EX 1 - Launch CUDA kernel to "print" helloworld
*
* a) Detect global thread id. (tip: use threadIdx.x, blockDim.x, and blockIdx.x)
* b) Explore thread execution and schedule changing: N={32} and M={4,8,16,32,64}
* c) Add corner case management
*
* @return void
*/
__global__ void helloworld(void)
{
int gid;
printf("Hello world, I am global thread %d (threadIdx=%d, blockIdx=%d, blockDim=%d)\n", gid, ...);
}
int main(int argc, const char **argv)
{
helloworld<<<N / BLOCK_SIZE, BLOCK_SIZE>>>();
// CUDA exit -- needed to flush printf write buffer
cudaDeviceReset();
return 0;
}