@@ -1,37 +1,38 @@
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// Copyright 2021 Jeisson Hidalgo <jeisson.hidalgo@ucr.ac.cr> CC-BY 4.0
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#include <omp.h>
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#include <iostream>
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#include <vector>
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int main(int argc, char* argv[]) {
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int thread_count = omp_get_max_threads();
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if (argc >= 2) {
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thread_count = atoi(argv[1]);
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}
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std::vector<double> values;
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double value = 0.0;
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while (std::cin >> value) {
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values.push_back(value);
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}
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double total_sum = 0.0;
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#pragma omp parallel num_threads(thread_count) \
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default(none) shared(values, total_sum)
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{
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double my_partial_sum = 0.0;
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#pragma omp for schedule(runtime)
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for (size_t index = 0; index < values.size(); ++index) {
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my_partial_sum += values[index];
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}
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#pragma omp critical(can_add)
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total_sum += my_partial_sum;
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}
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const double average = values.size() ? total_sum / values.size() : 0.0;
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std::cout << average << std::endl;
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}
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// Copyright 2021 Jeisson Hidalgo <jeisson.hidalgo@ucr.ac.cr> CC-BY 4.0
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#include <omp.h>
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#include <iostream>
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#include <vector>
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int main(int argc, char* argv[]) {
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int thread_count = omp_get_max_threads();
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if (argc >= 2) {
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thread_count = atoi(argv[1]);
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}
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std::vector<double> values;
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double value = 0.0;
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while (std::cin >> value) {
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values.push_back(value);
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}
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double total_sum = 0.0;
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#pragma omp parallel num_threads(thread_count) \
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default(none) shared(values, total_sum)
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{
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double my_partial_sum = 0.0;
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#pragma omp for schedule(runtime)
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for (size_t index = 0; index < values.size(); ++index) {
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my_partial_sum += values[index];
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}
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+
// #pragma omp critical(can_add)
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#pragma omp atomic
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total_sum += my_partial_sum;
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}
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const double average = values.size() ? total_sum / values.size() : 0.0;
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std::cout << average << std::endl;
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}
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