I do not understand what problems I have encountered? Because in theory, multithread will execute faster than serial, so is there any case in fact that serial execute faster than multithread as I have encountered. Therefore, we will see that it makes sense to distribute the tasks to several cores. Imagine a circle inside the same domain with same radius r and inscribed into the square. Estimation of Pi The idea is to simulate random (x, y) points in a 2-D plane with domain as a square of side 2r units centered on (0,0). Monte-Carlo is a simulation method that helps you approximating integrals using sums/mean based on random variables. It takes some time to do this operation and we will repeat this (50) times. One of the basic examples of getting started with the Monte Carlo algorithm is the estimation of Pi. Here, we create a matrix X replicate(S,rbinom(n,1,0.7)) where S10,000 and n 1000. The problem I encountered is that with the same total number of points input, for example 10^7, the execution speed of the serial is 0.45 seconds while the execution speed of multithread is 6.06 seconds, similar to other inputs, the execution time of the serial is always greater than the multithread. In the first Monte Carlo simulation we use the function foreach() that works as a for-loop. Pthread_create(
0 Comments
Leave a Reply. |