I just found out the reason why it is so slow. Most of the variables were global, allocated on the heap. So I put the program into a function. Now it runs 40 times faster.
Le mercredi 7 octobre 2015 00:40:10 UTC+3, Alain Clo a écrit : > > Hello, > I am a new user of Julia and I would like to introduce Julia to > researchers and students > in the university. > > As to give a try, I translated a fortran code to Julia. > This code implements the propagation of a 2D acoustic wave using finite > differences. > The code produces good numerical results, > and I am using gadfly to display the results (currently commented) > > The not so good news is that it is very slow, 100 times slower than > fortran. > It spends most the time in the loops at line 121. I do not know why it is > so slow. > I guess that I must be doing something really wrong. (maybe in the array > allocations !) > > Can someone take a look at the code and give me some hints. > Thanks > Alain > >
