I\'ve got two similar codes. First #pragma omp parallel for shared(g) private(i) schedule(dynamic, 1) for(i = (*g).actualNumberOfChromosomes; i < (*g).maxNumberOfChromosomes; i++)
Can you think of ways to achieve significant improvement on a traditional engine like id tech 3? By attempting to do it on the Audio Subsystem I noticed it inflicts a slow down rather than a speed up.
What is an ideal data structure in parallel programing, in my cas开发者_运维技巧e OpenMP. #pragma omp parallel for
I\'ve written a C++ app that has to process a lot of data. Using OpenMP I parallelized the processing phase quite well and, embarrassingly, found that the output writing is now the bottleneck. I decid
parallelizing two nested for-loops, I have run into behavior I cannot explain. I have tried three different kinds of parallelization using OpenMP on an i7 860 and and a xeon E5540 and I expected that
I am trying different kinds of parallelization using OpenMP. As a result I have several lines of #pragma omp parallel for in my code which I (un-)comment alternating. Is there a way to make these line
I have a function which is passed two structures by reference.These structures are composed of dynamically allocated arrays.Now when I try to implement OpenMP I\'m getting a slowdown not a speedup.I\'
I have a number crunching C/C++ application. It is basically a main loop for different data sets. We got access to a 100 node cluster with openmp and mpi available. I would like to speedup the applica
I finally got a section of my code to run in parallel with OpenMP without errors. When I dep开发者_运维问答loyed the dll to another machine, however, it no longer ran in parallel.
I have a function which determines if an array needs to be smoothed.I have multiple arrays that this operation needs to be preformed on.I\'d like to use the sections construct in OpenMP to do this.Unf
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