I\'m trying to convert a simple numerical analysis code (trapezium rule numerical integration) into something that will run on my CUDA enabled GPU.There is alot of literature out there but it all seem
Im trying to write something which very quickly calculates random numbers and can be applied on multiple threads.My current code is:
Does OpenMP natively support reduction of a variable that represents an array? This would work something like the following...
Does openMP 开发者_高级运维have a runtime (like .NET CLR on top of operating system) or just a compiler?OpenMP doesn\'t really have, or need, anything like the .NET CLR.Compilers typically produce cod
In the code below I\'m trying to compare all elements of an array to all other elements in a nested for loop.(It\'s to run a simple n-body simulation.I\'m testing with only 4 bodies for 4 threads on 4
#include <omp.h> #include <stdio.h> int main(int argc, char* a开发者_开发知识库rgv[])
I have a simulation written in C++ in which I need to maintain a variable number of agents, and I am having trouble deciding how to implement it well. Every agent looks something similar to:
What\'s a hi开发者_运维百科gh-level description of OpenMP? The Wikipedia article states that \"OpenMP (Open Multi-Processing) is an application programming interface (API) that supports multi-platfor
I am attempting to use OpenMP in my project that contains N agents in a simulation. Every agent has a position vector. Inside my program, I do something like the following:
i have to parallize som开发者_JS百科e code and a fried of mine suggested using boost for it. Right now i have a look into openMP and i am wondering what you think is better for that task.it is up to y
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