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hpc-2022-g3/openmp/lab1/.solutions/exercise2.c
Alessandro Capotondi 7106df9383 HPC OpenMP Lab 1
2021-04-13 23:27:30 +02:00

89 lines
3.1 KiB
C

/*
* 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 exercise2.c
* @author Alessandro Capotondi
* @date 27 Mar 2020
* @brief Exercise 2
*
* @see https://dolly.fim.unimore.it/2019/course/view.php?id=152
*/
#include <stdio.h>
#include <omp.h>
#include "utils.h"
/**
* @brief EX 2 - Data parallelism: parallel loop ** 1 to 16 THREADS **
*
* a) Parallelize loop w/static scheduling
* b) Parallelize loop w/dynamic scheduling for chunks = NITER/NTHR (same as static) and 1 (finest granularity)
* c) Same as 2a + 2b, with 1<<20 loop iterations and work(10)
*
* @return void
*/
void exercise()
{
#if 0 //2a
#pragma omp parallel for schedule(static) num_threads(NTHREADS)
for(int i=0; i< 1<<10; i++)
{
DEBUG_PRINT("%hu: I am executing iteration %hu!\n", omp_get_thread_num(), i);
work(1<<10);
DEBUG_PRINT("%hu: Done with iteration %hu!\n", omp_get_thread_num(), i);
}
#endif
#if 0 //2b
int M = (1<<10) / NTHREADS;
//#pragma omp parallel for schedule(dynamic,M) num_threads(NTHREADS)
#pragma omp parallel for schedule(dynamic, 1) num_threads(NTHREADS)
for(int i=0; i< 1<<10; i++)
{
DEBUG_PRINT("%hu: I am executing iteration %hu!\n", omp_get_thread_num(), i);
work(1<<10);
DEBUG_PRINT("%hu: Done with iteration %hu!\n", omp_get_thread_num(), i);
}
#endif
#if 1 //2c
int M = (1 << 20) / NTHREADS;
//#pragma omp parallel for schedule(static) num_threads(NTHREADS)
//#pragma omp parallel for schedule(dynamic,M) num_threads(NTHREADS)
#pragma omp parallel for schedule(dynamic, 1) num_threads(NTHREADS)
for (int i = 0; i < 1 << 20; i++)
{
DEBUG_PRINT("%hu: I am executing iteration %hu!\n", omp_get_thread_num(), i);
work(10);
DEBUG_PRINT("%hu: Done with iteration %hu!\n", omp_get_thread_num(), i);
}
#endif
}