Maybe it would be good to verify the claim made at https://github.com/jesusfv/Comparison-Programming-Languages-Economics/blob/master/RBC_Julia.jl#L9
I would think that specifying all those types wouldn’t matter much if the code doesn’t have type-stability problems. — John On Jun 16, 2014, at 8:52 AM, Florian Oswald <florian.osw...@gmail.com> wrote: > Dear all, > > I thought you might find this paper interesting: > http://economics.sas.upenn.edu/~jesusfv/comparison_languages.pdf > > It takes a standard model from macro economics and computes it's solution > with an identical algorithm in several languages. Julia is roughly 2.6 times > slower than the best C++ executable. I was bit puzzled by the result, since > in the benchmarks on http://julialang.org/, the slowest test is 1.66 times C. > I realize that those benchmarks can't cover all possible situations. That > said, I couldn't really find anything unusual in the Julia code, did some > profiling and removed type inference, but still that's as fast as I got it. > That's not to say that I'm disappointed, I still think this is great. Did I > miss something obvious here or is there something specific to this algorithm? > > The codes are on github at > > https://github.com/jesusfv/Comparison-Programming-Languages-Economics > >
