We'll probably update to more recent versions of everything and re-run the benchmarks once 0.4.0 final is released and someone gets some time to get all the relevant software set up on the same machine.
On Saturday, September 5, 2015 at 12:03:32 PM UTC-7, Stefan Stoll wrote: > > Hi all, > > I am a veteran Matlab user and have recently started playing around with > Julia. What a great language! > > Today I noticed that the micro-benchmark published on julialang.org is > quite out of date, esp. what Matlab is concerned. The benchmark uses Matlab > R2014a, but the most recent R2015b has a new execution engine that is > significantly faster. > > For a fair comparison, I suggest rerunning the benchmark with the latest > Matlab (and Julia) versions and updating the numbers on the website. > > Here's what I get when running the micro-benchmark function perf() on > Matlab R2014b on my old laptop: > matlab,fib,95.66057408 > matlab,parse_int,151.79947331 > matlab,mandel,12.45005290 > matlab,quicksort,24.00013615 > matlab,pi_sum,47.18823305 > matlab,rand_mat_stat,62.70896132 > matlab,rand_mat_mul,221.44602147 > > And here are the results with Matlab R2015b on the same laptop: > matlab,fib,1.04503455 > matlab,parse_int,95.14879485 > matlab,mandel,3.11889527 > matlab,quicksort,2.05846277 > matlab,pi_sum,36.74599177 > matlab,rand_mat_stat,100.73379335 > matlab,rand_mat_mul,224.68040137 > > The biggest speedups are in the Fibonacci and quicksort tests. > > >
