I am currently working on a complex network in MATLAB2010b because we have the license in the college for it only but it only allows execution on 8 cores. I am a little familiar with Scilab but on one of the page (http://julialang.org/) comparing octave, matlab, julia,python etc.(except Scilab), octave was significantly slower than matlab. But what is the execution speed of running a program in scilab. Can anyone suggest me, some sample parallelised code in Scilab as its website lacks comprehensive information on its usage?
Also, can anyone suggest how to read about julia with example codes as its very fast among others?
The matlab 2014 version have freedom to use as many cores in machine. (Shared memory machine). Now, the parallel tools in MATLAB are now the actual paralellizaion. It is just simplification of parallel computing.
If your problem needs extensive simulations, you have to adopt C/fortran. I use matlab Mex facility to use speed of C on matlab interface and parfor facility of MATLAB.
So, if you work little hard, you can write a moderate parallel code in matlab.
I have used octave...python etc at various stages... but I prefer MATLAB above most.
If the licence is a problem you can compile your code and generate standalone applications. Applications created with MATLAB Compiler are royalty-free. This will allow you to run a matlab programme on unlimited number of machines.
Of course you need to drive the execution of the compiled matlab programme.
Rohan, I have not worked with Scilab yet, but I suggest you to use Matlab. It is and have been a very helpful tool in many areas of study. Matlab may be considered as a complete tool. If you have a NVIDIA's graphics card, you can parallelize some portion of your code just using the Matlab built-in function. You do not have to worry about parallelism details, the Parallel Computing Toolbox makes everything implicit for you. Try it and you'll see.
Best regards!
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