Re: [Gretl-users] When Julia is faster than C and Gretl

Am 10.02.2018 um 15:01 schrieb Riccardo (Jack) Lucchetti: > On Sat, 10 Feb 2018, Artur Tarassow wrote: > IMHO, this is one of the cases when teh JIT approach gives a huge > performance boost; > I agree. gretl took 1.454405 sec. > 2.718006 > On my oldish machine for input 10^6: - gretl takes 2.7 secs - Python (with numpy.random.uniform): 4.8 secs - Python + Numba's just-in-time compilation (using the @jit decorator): 0.17 secs! I don't have Julia here, but to compare this to Artur's numbers who used 10^7: - gretl: 28 secs - Python + Numba jit: 0.48 secs So if Julia really is 100x faster than gretl here, Python+jit might be just a little slower, being only 60x faster. (Note however that I only have the free numba which uses llvmlite in the background I think; Numbapro might be even faster, don't know.) cheers, sven _______________________________________________ Gretl-users mailing list Gretl-users(a)lists.wfu.edu http://lists.wfu.edu/mailman/listinfo/gretl-users