Re: [julia-users] Updated performance tips?

I have copied my code in the below link (Julia user group), let me know if you cant access that https://discourse.julialang.org/t/julia-call-from-python3-running-in-single-core/508/5 On Wed, Nov 23, 2016 at 2:03 PM, Douglas Bates wrote: > On Tuesday, November 22, 2016 at

Re: [julia-users] Updated performance tips?

On Tuesday, November 22, 2016 at 1:12:26 PM UTC-6, Harish Kumar wrote: > I found the cause for this ... When i run julia 0.3.2 or 0.5 as standalone > (mix model) it uses all the available cores from my server, so it was fast. Fitting a linear mixed effects model only uses multiple threads for

Re: [julia-users] Updated performance tips?

On Tue, 2016-11-22 at 14:12, Harish Kumar wrote: > I found the cause for this ... When i run julia 0.3.2 or 0.5 as standalone > (mix model) it uses all the available cores from my server, so it was fast. > > If i call Julia from Python (Pyjulia), i see only one core is

Re: [julia-users] Updated performance tips?

I found the cause for this ... When i run julia 0.3.2 or 0.5 as standalone (mix model) it uses all the available cores from my server, so it was fast. If i call Julia from Python (Pyjulia), i see only one core is busy with python process (100% cpu) and all other cores are free. Can you help me

Re: [julia-users] Updated performance tips?

On Sat, 2016-11-19 at 20:48, Harish Kumar wrote: > Thank you. I agree on python.. but my question was did they update the > Pyjulia libraries for latest Julia version? . We tried with 0.4.3 which > failed 6 months back. So we revered to 0.3.4. Or is this library remain >

Re: [julia-users] Updated performance tips?

Thank you. I agree on python.. but my question was did they update the Pyjulia libraries for latest Julia version? . We tried with 0.4.3 which failed 6 months back. So we revered to 0.3.4. Or is this library remain same for all Julia versions? Any suggestion on this? On Sat, Nov 19, 2016 at 7:38

Re: [julia-users] Updated performance tips?

On Sat, 2016-11-19 at 18:36, Harish Kumar wrote: > Will it support Python 3.4 ? I am calling this from pyjulia interface https://github.com/JuliaPy/pyjulia says that it is tested against 3.5, but it doesn't say that 3.4 is not supported. So you should try. > On Nov

Re: [julia-users] Updated performance tips?

Will it support Python 3.4 ? I am calling this from pyjulia interface On Nov 19, 2016 4:58 PM, "Mauro" wrote: > Julia 0.3.12, that's a stone-age version of Julia. You should move to 0.5! > > On Sat, 2016-11-19 at 16:42, Harish Kumar > wrote: > >

Re: [julia-users] Updated performance tips?

Julia 0.3.12, that's a stone-age version of Julia. You should move to 0.5! On Sat, 2016-11-19 at 16:42, Harish Kumar wrote: > I am using Version 0.3.12 calling from python (pyjulia). I do LME fit with > 2.8 M rows and 60-70 Variables. It is taking 2 hours just to model

Re: [julia-users] Updated performance tips?

I am using Version 0.3.12 calling from python (pyjulia). I do LME fit with 2.8 M rows and 60-70 Variables. It is taking 2 hours just to model (+ data transfer time). Any tips? using MixedModels modelREML = lmm({formula}, dataset) reml!(modelREML,true) lmeModel =

Re: [julia-users] Updated performance tips?

I'm glad that particular slow case got faster! If you want to submit some reduced version of it as a performance test, we could still include it in our perf suite. And of course, if you find that anything else has ever slowed down, please don't hesitate to file an issue. On Tue, Feb 23, 2016 at

Re: [julia-users] Updated performance tips?

Yes, understood about difficulty keeping track of regressions. I was originally going to send a message relating up to 2x longer test time on the same code on Travis, but it appears as though something has changed in the nightly build available to CI that now gives significantly faster builds,

Re: [julia-users] Updated performance tips?

Yes, ideally code should not get slower with new releases – unfortunately, keeping track of performance regressions can be a bit of a game of whack-a-mole. Having examples of code whose speed has regressed is very helpful. Thanks to Jarrett Revels excellent work, we now have some great performance

Re: [julia-users] Updated performance tips?

Le lundi 22 février 2016 à 06:27 -0800, Jonathan Goldfarb a écrit : > I've really been enjoying writing Julia code as a user, and following > the language as it develops, but I have noticed that over time, > previously fast code sometimes gets slower, and (impressively) > previously slow code will

[julia-users] Updated performance tips?

I've really been enjoying writing Julia code as a user, and following the language as it develops, but I have noticed that over time, previously fast code sometimes gets slower, and (impressively) previously slow code will sometimes get faster, with updates to the Julia codebase. No complaint