2021-12-25 22:36:38 +01:00
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#include <algorithm>
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#include <thread>
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#include <functional>
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#include <vector>
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2023-02-12 19:50:45 +01:00
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#pragma once
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2021-12-25 22:36:38 +01:00
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/// @param[in] nb_elements : size of your for loop
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/// @param[in] functor(start, end) :
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/// your function processing a sub chunk of the for loop.
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/// "start" is the first index to process (included) until the index "end"
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/// (excluded)
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/// @code
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/// for(int i = start; i < end; ++i)
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/// computation(i);
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/// @endcode
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/// @param use_threads : enable / disable threads.
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///
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///
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static
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void parallel_for(unsigned nb_elements,
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std::function<void (int start, int end)> functor,
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bool use_threads = true)
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{
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// -------
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unsigned nb_threads_hint = std::thread::hardware_concurrency();
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unsigned nb_threads = nb_threads_hint == 0 ? 8 : (nb_threads_hint);
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unsigned batch_size = nb_elements / nb_threads;
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unsigned batch_remainder = nb_elements % nb_threads;
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std::vector< std::thread > my_threads(nb_threads);
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if( use_threads )
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{
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// Multithread execution
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for(unsigned i = 0; i < nb_threads; ++i)
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{
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int start = i * batch_size;
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my_threads[i] = std::thread(functor, start, start+batch_size);
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}
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}
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else
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{
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// Single thread execution (for easy debugging)
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for(unsigned i = 0; i < nb_threads; ++i){
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int start = i * batch_size;
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functor( start, start+batch_size );
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}
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}
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// Deform the elements left
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int start = nb_threads * batch_size;
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functor( start, start+batch_remainder);
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// Wait for the other thread to finish their task
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if( use_threads )
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std::for_each(my_threads.begin(), my_threads.end(), std::mem_fn(&std::thread::join));
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}
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