why do i have matlab a and matlab b on my computer?

Well, do that no more !Ĭonsider the example, where I have 2 different computers PC1 and PC2. Have you ever waited wondering how much longer it will take for your code to finish execution ? I am sure you have tried various options, one of which is printing out the iteration number of a loop, and then make a guesstimate as to how much longer it will take to finish. Parallel computation toolbox is not only restricted to for loops, but has a variety of helpful features to enable your simulations to complete faster, so that you can get a good night sleep. The same task now takes just 1.36 seconds. Note that nested for loops are not allowed, so we change one of the for loops to parallel loop, and keep the inner loop as same. parpool(4) %declare number of workers (max=cores) parfor i=1:1e7 %use parfor instead of for for j=1:1e7 c(i,j) = a(i,j) + b(i,j) end end delete(gcp('nocreate')) %close parallel computing Let’s see how we can use the parallel for loop here.įirst, declare the number of workers, which can maximum be the number of hyper-threaded cores your processor has. This for loop computation takes about 7.72 seconds to complete in my testing. Here comes Matlab’s Parallel Computing Toolbox to the rescue.įor example, consider this very simple example where I need to compute the element-wise sum of the entries in matrix a and b, and store the result in c. For loops compute each iteration sequentially, making it slow over large number of iterations and massive computations. For running iterative algorithms, calculating matrix products over a set of data or simulating a system over time, for loops are used everywhere. Faster for-loopsįor loops are probably one of the most widely used blocks of code in Matlab.

In this article, I will share some useful programming tips which I learnt over my 4 years of coding and playing around with Matlab.

I always wondered - how could I do this? How do I make my code cool enough to be realistic? I always wondered - how could I make this fast, how can I make the for loops to iterate faster? Moreover, some of my work required a distributed setup, that is different versions of Matlab talking to each other, exchanging information and running algorithms to perform certain task. There were several times during my journey, when I had to wait several hours to days for my simulations to converge. I started coding on Matlab for my course projects during my bachelors, and now I use it full time for my PhD thesis research. I started coding in Matlab about 4 years ago, and the journey has been an exciting and one with full of learning. More importantly, the user interface is easy to learn and the code is easy to grasp by beginners. If you have ever used Matlab for your university projects or research simulations, you know that it has unlimited potential and flexibility in simulating almost any problem you want.

Why do i have matlab a and matlab b on my computer?