I am using a c++ dll in order to do some computational intensive processing- my c++ uses threads – and use this dll in my c# application. I used MS visual studio profiler to identify the parts of code which consumes most time. and used openMP for improving the performance through distributing the work load ..
Category : openmp
I am testing out how threadprivate clause works in openMP. I set up the following simple test case #include <iostream> #include <omp.h> void func(){ static int some_id = omp_get_thread_num(); #pragma omp threadprivate(some_id) #pragma omp critical { std::cout << "id:" << some_id << std::endl; std::cout << "in thread " << omp_get_thread_num() << std::endl; } } int ..
I understand well, I think why it is possible to access A[i] rather fast using all the threads in a GPU. In the following 0<=A[i]<N. However, what about the locks and B[x] in the following code? Will two access to lock[1] and lock[2] not block for each other so I don’t get any parallelizing at ..
I am trying to parallelize a stencil code with OpenMP which has a loop over dependency. I eliminated the dependency by making the index diagonal. But when I run the loop with OpenMP, I do not get the correct answer. For k=1, the point x depends on newly computed values of local_mean. . . . ..
I am trying to parallelize a stencil code with OpenMP which has a loop over dependency. I eliminated the dependency by making the index diagonal. But when I run the loop with OpenMP, I do not get the correct answer. For k=1, the point x depends on newly computed values of local_mean. . . . ..
Using x64 msvc v19.29 on a AMD Ryzen 9 5900X (12 cores, AMD’s Hyper-Threading-equivalent disabled), a program parallelized using only omp_set_num_threads( 10 ); and #pragma omp parallel for schedule( dynamic, 1 ) seems to bind the one master and nine worker threads to different cores. Observing the Windows Task-Manager, 10 cores are 100 % utilised ..
I would like to parallel a big loop using OpenMP to improve its efficiency. Here is the main part of the toy code: vector<int> config; config.resize(indices.size()); omp_set_num_threads(2); #pragma omp parallel for schedule(static, 5000) firstprivate(config) for (int i = 0; i < 10000; ++i) { // the outer loop that I would like to parallel #pragma ..
I write the following code and I expect that the data race would occur because of several thread may modify a at the same time and get a wrong answer. // test.c #include <stdio.h> #include <stdlib.h> int main(void) { int a = 0; #pragma omp paralle for for (int i = 0; i < 10000000; ..
I’m trying to increase the performance of a c++ code using openMP but am not seeing very good scaling. Before delving into the details of my code, I have a very general question that I think could save a lot of time if I can get a definitive answer to it. The basic structure of ..
I am confused about omp single and omp task directives. I have read several examples which use both of them. The following example shows how to use the task construct to process elements of a linked list. 1 #pragma omp parallel 2 { 3 #pragma omp single 4 { 5 for(node* p = head; p; ..
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