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Would it be useful to make a study of the computational effectiveness of equivalent codes written with Matlab, Mathematica, R Code, Julia, Python, etc. in a set of typical computational engineering problems like Navier-Stokes equation, numerical heat conduction, thermal radiation intensity field calculation, and so on and test how the computation time scales with increased resolution of the discretization? Or would this be redundant as the languages have already been tested for benchmark problems like matrix multiplication and linear system solution?

Just got this idea after reading about how the relatively new Julia language is very effective in the sense of computational speed despite being as simple as Matlab or R to make code with.