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https://github.com/TheAlgorithms/C
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optimized solution with option to compile using platform independent OpenMP parallelization.
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project_euler/Problem 14/sol1.c
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72
project_euler/Problem 14/sol1.c
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#include <stdio.h>
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#include <stdlib.h>
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#ifdef _OPENMP
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#include <omp.h>
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#pragma message ("Using OpenMP parallelization")
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#else
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#pragma message ("Not using OpenMP parallelization")
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#endif
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/**
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* Computes the length of collatz sequence for a given
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* starting number
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**/
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long long collatz(long long start_num)
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{
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long long length = 1;
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while (start_num != 1) /* loop till we reach 1 */
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{
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if(start_num & 0x01) /* check for odd */
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start_num = 3 * start_num + 1;
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else
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start_num >>= 1; /* simpler divide by 2 */
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length ++;
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}
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return length;
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}
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int main(int argc, char **argv)
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{
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long long max_len = 0, max_len_num = 0;
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long long MAX_NUM = 1000000;
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if (argc == 2) /* set commandline argumnet as the maximum iteration number */
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MAX_NUM = atoll(argv[1]);
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/**
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* Since the computational values for each iteration step are independent,
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* we can compute them in parallel. However, the maximum values should be
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* updated in synchrony so that we do not get into a "race condition".
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*
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* To compile with supporintg gcc or clang, the flag "-fopenmp" should be passes
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* while with Microsoft C compiler, the flag "/fopenmp" should be used.
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*
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* Automatically detects for OPENMP using the _OPENMP macro.
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**/
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#ifdef _OPENMP
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printf("\nUsing %d threads for parallelization.\n", omp_get_num_threads());
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#pragma omp parallel for shared(max_len, max_len_num) schedule(guided)
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#endif
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for (long long i = 1; i < MAX_NUM; i++)
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{
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long long L = collatz(i);
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if (L > max_len)
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{
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max_len = L;
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max_len_num = i;
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}
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#if defined(_OPENMP) && defined(DEBUG)
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printf("Thread: %2d\t %3lld: \t%5lld\n", omp_get_thread_num(), i, L);
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#elif defined(DEBUG)
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printf("%3lld: \t%5lld\n", i, L);
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#endif
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}
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printf("Max: %3lld: \t%5lld\n", max_len_num, max_len);
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return 0;
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}
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