[julia-users] [JuliaCon 2017] Call for Proposals

It is my pleasure to announce that the call for proposals for JuliaCon 2017 is now open. Please visit http://juliacon.org/2017/cfp for all the details and the submission form. TL;DR All speakers welcome! Call for Participation closes: March 25th, 11:59pm AOE (UTC-12) Estimated

Re: [julia-users] Re: [Announcement] Moving to Discourse

I forgot to post the link to the iOS 10 problem https://meta.discourse.org/t/discourse-1-7-0-beta4-problems-due-to-removal-of-fixed-zoom-safari-iphone/50145 On Mon, 21 Nov 2016 at 22:39 Valentin Churavy <v.chur...@gmail.com> wrote: > You can still answer to current thread, but y

Re: [julia-users] Re: [Announcement] Moving to Discourse

You can still answer to current thread, but you should be unable to create new threads. Re: Discourse mobile view. I just tested it on my Android phone and I can also not zoom in. Switching into Desktop mode works. On Android chrome has in the accessibility settings the option to "Force enable

[julia-users] Re: [Announcement] Moving to Discourse

The group is now in read-only mode. Please continue the discussion at discourse.julialang.org. On Wednesday, 16 November 2016 23:48:59 UTC+9, Valentin Churavy wrote: > > It is similar to Github. You can also switch languages by ```python, Julia > is set as the default though :) >

[julia-users] Re: [Announcement] Moving to Discourse

C+2, Uwe Fechner wrote: >>> >>> Hello, >>> how can I paste Julia code in Discourse, such that it has syntax >>> highlighting? >>> >>> Uwe >>> >>> On Wednesday, November 16, 2016 at 3:45:55 AM UTC+1, Valentin Churavy >

[julia-users] [Announcement] Moving to Discourse

I would like to accelerate the move of `julia-users` to https://discourse.julialang.org. In the original announcement (https://groups.google.com/d/msg/julia-users/Ov1J6MOVly0/cD7vNKOUAgAJ) I mentioned a evaluation period of 4 weeks, but since then members of the community have been approaching

[julia-users] Re: Value assignment of compound expression

Welcome to Julia. Similar to other programming language you can (but you do not need to) use a semicolon as a separator between statements. So your code example is equivalent to: tri=base=5 height=10 1/2*base*height so there is no assignment to tri after the first line, and thus the value is

Re: [julia-users] Re: [Announcement] Moving to Discourse (Statement of Intent)

`julia-dev` has now moved to discourse. One possibility would be to start forwarding posts for `julia-users` from Google Groups to Discourse, but that is a one way street. So before I enable that I would like to hear what everybody thinks about it. On Wed, 9 Nov 2016 at 02:01 Tom Breloff

Re: [julia-users] Re: [Announcement] Moving to Discourse (Statement of Intent)

See the about page, https://discourse.julialang.org/about there is a specific section about privacy https://discourse.julialang.org/privacy Let me know if you have any questions or concerns. On Sat, 5 Nov 2016 at 22:15 Robert DJ wrote: > I would love to get away from GG,

[julia-users] [Announcement] Moving to Discourse (Statement of Intent)

The Julia community has been growing rapidly over the last few years and discussions are happening at many different places: there are several Google Groups (julia-users, julia-dev, ...), IRC, Gitter, and a few other places. Sometimes packages or organisations also have their own forums and

Re: [julia-users] ERROR: Target architecture mismatch

Since KNL is just a new platform the default version of the LLVM compiler that Julia is based on does not support it properly. During our testing at MIT we found that we needed to switch to the current upstream of LLVM (or if anybody reads this at a later time LLVM 4.0) You can do that by

[julia-users] Re: What's the status of SIMD instructions from a user's perspective in v0.5?

If you want explicit simd the best way right now is the great SIMD.jl package https://github.com/eschnett/SIMD.jl it is builds on top of VecElement. In many cases we can perform automatic vectorisation, but you have to start Julia with -O3 On Thursday, 13 October 2016 22:15:00 UTC+9, Florian

[julia-users] Re: @inbounds and @simd not showing any sign of speedup

A great tool to figuring out what is going on in these cases is `@code_llvm`. It shows you a representation of your code that is still readable, but very close to the machine. Your simple julia code without a `@simd` is nearly optimal, but does benefits from the inclusion of `@inbounds` -

[julia-users] Re: Julia and Slurm 'Hello World'

I would recommend that you look into ClusterManagers.jl https://github.com/JuliaParallel/ClusterManagers.jl it includes a simple starting script for using it with slurm. On Monday, 16 May 2016 23:27:21 UTC+9, John Hearns wrote: > > I hope this is an acceptable question... > I am starting out

[julia-users] Re: Improvements to GPU integration with Julia

Hey, I am one of the maintainers of OpenCL.jl and I would recommend you to look at https://github.com/JuliaGPU/OpenCL.jl, https://github.com/JuliaGPU/CLFFT.jl, and https://github.com/JuliaGPU/CLBLAS.jl. We welcome any improvements and help. I can only speak for myself in that most of the

[julia-users] Re: SIMD multicore

Blas is using a combination of SIMD and multi-core processing. Multi-core (threading) is coming in Julia v0.5 as an experimental feature. On Saturday, 16 April 2016 14:13:00 UTC+9, Jason Eckstein wrote: > > I noticed in Julia 4 now if you call A+B where A and B are matrices of > equal size,

[julia-users] Re: MXNet setting workspace, Convolutional layers, kernels etc

Also take a look at https://github.com/dmlc/MXNet.jl/pull/73 where I implemented debug_str in Julia so that you can test your network on its space requirements. On Friday, 8 April 2016 15:54:06 UTC+9, Valentin Churavy wrote: > > What happens if you set the batch_size to 1? Also take

[julia-users] Re: MXNet setting workspace, Convolutional layers, kernels etc

What happens if you set the batch_size to 1? Also take a look at https://github.com/dmlc/mxnet/tree/master/example/memcost Also workspace is per convolution and you should keep it small. On Thursday, 7 April 2016 19:13:36 UTC+9, kleinsplash wrote: > > Hi, > > I have a memory error using

Re: [julia-users] ANN: A potential new Discourse-based Julia forum

One could use categories as channels. Rust has two differenent discourse instances for internal and user discussions. But in practice categories can have subcategories and we could have a tree like structure that also give a namespace for the package organisation like JuliaGPU.

[julia-users] Re: [ANN] GLVisualize

Congratulations Simon :) Now let's get quickly to a Vulkan backend On Saturday, 27 February 2016 22:46:56 UTC+9, Simon Danisch wrote: > > Thanks :) > > >I wonder if it will be the Matplotlib of Julia > > While possible, it will need quite a bit of work :) Offering the > flexibility and usability

Re: [julia-users] Speedup/clarity/brevity ideas for LZW compression? (Rosetta code)

Just a small idea. I would make makedict also take a type so that makedict(1024) also works. Alternatively using typemax(UInt8) would remove the dependence on the magic number. On Saturday, 2 January 2016 03:05:19 UTC+9, Erik Schnetter wrote: > > Julia distinguishes between two kinds of

[julia-users] Re: Google releases TensorFlow as open source

It fits in the same niche that Mocha.jl and MXNet.jl are filling right now. MXNet is a ML library that shares many of the same design ideas of TensorFlow and has great Julia support https://github.com/dmlc/MXNet.jl On Wednesday, 11 November 2015 01:04:00 UTC+9, Randy Zwitch wrote: > > For me,

Re: [julia-users] ANN: ParallelAccelerator.jl v0.1 released

This looks great :) The only thing I am wondering about is the license. Is the license compatible with MIT? And if I want to contribute do I have to fill out a Contributor License Agreement? I would much prefer if the license would be one of the standard open-source ones, but I understand if

[julia-users] Re: How to find connected components in a matrix using Julia

Hej Charles, in the future please only post in one place. A lot of the people who answer on SO are also here. You can use the label_components function in Images.jl https://github.com/timholy/Images.jl/blob/master/doc/function_reference.md#label_components To get the the list of coordinates

Re: [julia-users] Re: Julia code 5x to 30x slower than Matlab code

ode_warntype not defined > > Do I need to update Julia or something? I have version 0.3.11. > > On 20 September 2015 at 16:14, Valentin Churavy <v.ch...@gmail.com > > wrote: > >> take a look at >> @code_warntype calc_net(0, 0, 0, Dict{String,Float64}(), Dict

Re: [julia-users] Re: Julia code 5x to 30x slower than Matlab code

take a look at @code_warntype calc_net(0, 0, 0, Dict{String,Float64}(), Dict{String,Float64 }()) It tells you where the compiler has problems inferring the types of the variables. Problematic in this case is b_hist::Any b_hist_col2::Any numB::Any b_hist_col2_A::Any b_hist_col2_B::Any

Re: [julia-users] IJulia not working on 0.3.10

Zeromq stands for zero message queue (http://zeromq.org/) and is the protocol used by Jupyter/IPython backends to communicate with the Jupyter/IPython frontend. So if there is any problems with that you can not run the Julia kernel (aka the Julia backend). Also if you have problems like that

[julia-users] Finite field / Gaulois field implementation

Hej, Did anybody tried to implement finite field arithmetic in Julia?. I would be particular interested in GF(2) eg. base 2 arithmetic modulus 2. Best, Valentin

Re: [julia-users] Finite field / Gaulois field implementation

/talks/2015AprilStanford_AndreasNoack.ipynb notebook. The arithmetic definitions are simpler for GF(2), but should be simple modifications to the definitions in the notebook. 2015-04-24 2:50 GMT-04:00 Valentin Churavy v.ch...@gmail.com javascript:: Hej, Did anybody tried to implement finite

[julia-users] Re: Macro scoping (or hygiene?) problems

* for `d`, so that the interpolation would get back its *value*: `$(matching(:d))` does the trick. Thanks for kicking me in the right direction =) // T On Tuesday, December 30, 2014 10:09:01 PM UTC+1, Valentin Churavy wrote: So I do not totally understand the goal of what you

[julia-users] Re: Macro scoping (or hygiene?) problems

So I do not totally understand the goal of what you are trying to achieve, but could you try to do this with a macro? macro value(d) @show d quote println(d at runtime , $d) end end @ngenerate N T function example{T,N}(A::Array{T,N}, xs::NTuple{N,Real}...) @nexprs N dim-begin

[julia-users] Re: [ANN] SQLite.jl package update

Great work! Do you think it would make sense to extract some common functionality and function names in a DB package? There is https://github.com/JuliaDB/DBI.jl. I like the interface you provided and would like to use parts of it for the Postgres driver I am working on. - Valentin On

Re: [julia-users] Dan Luu's critique of Julia: needs commented code, better testing, error handling, and bugs fixed.

Here is Keno's comment https://news.ycombinator.com/item?id=8810146 and the general HN discussion https://news.ycombinator.com/item?id=8809422 On Monday, 29 December 2014 17:44:35 UTC+1, Keno Fischer wrote: I've written up some of my thoughts on the issues raised in this article in the

Re: [julia-users] Re: Article on `@simd`

There is a recent and ongoing discussion on the llvm maillinglist to expose scatter and load operations as llvm intrinsics http://thread.gmane.org/gmane.comp.compilers.llvm.devel/79936 . - Valentin On Monday, 1 December 2014 17:43:11 UTC+1, John Myles White wrote: This is great. Thanks,

Re: [julia-users] obscure error in Julia 0.3.3

, Valentin Churavy v.ch...@gmail.com wrote: So I narrowed it down to combining the system's blas with Julia's suitesparse. In the tests I made laplack has no influence. Should I file an issue against Julia or with the Archlinux package? What

Re: [julia-users] obscure error in Julia 0.3.3

, Valentin Churavy v.ch...@gmail.com wrote: A fellow archuser here. Under which circumstances does the error occur? Eg. what code are you executing? And what does pacman -Qi julia blas lapack output On Monday, 15 December 2014 19:14:22 UTC+1, Andrei Berceanu wrote: Where do i need to type

Re: [julia-users] obscure error in Julia 0.3.3

December 2014 16:52:18 UTC+1, Andrei Berceanu wrote: So if your suspicion is correct, setting USE_SYSTEM_SUITESPARSE=1 should fix this, right? Let me know how it goes :) On Tuesday, December 16, 2014 3:19:43 PM UTC+1, Valentin Churavy wrote: So your system setup is exactly the same (except me

Re: [julia-users] obscure error in Julia 0.3.3

by me and Andrei, can anybody not using Arch try that out? On Tuesday, 16 December 2014 17:07:55 UTC+1, Valentin Churavy wrote: So building it from the PKGBUILD leads to the same error. I am now building it with the same make options from the tar.gz on the Julia download page. Andrei we

Re: [julia-users] obscure error in Julia 0.3.3

UTC+1, Valentin Churavy wrote: So using make \ USE_SYSTEM_LLVM=0 \ USE_SYSTEM_LIBUNWIND=1 \ USE_SYSTEM_READLINE=0 \ USE_SYSTEM_PCRE=1 \ USE_SYSTEM_LIBM=1 \ USE_SYSTEM_OPENLIBM=0 \ USE_SYSTEM_OPENSPECFUN=0 \ USE_SYSTEM_BLAS=1 \ USE_SYSTEM_LAPACK=1

[julia-users] Re: Comparison of FE codes; Julia versus commercial FE solver

Petr, Congratulations for achieving this. Is J FinEALE available somewhere? Maybe as as package? Valentin On Tuesday, 16 December 2014 17:52:29 UTC+1, Petr Krysl wrote: I have made some progress in my effort to gain insight into Julia performance in finite element solvers. I have

Re: [julia-users] obscure error in Julia 0.3.3

, 16 December 2014 18:07:23 UTC+1, Valentin Churavy wrote: Ok setting USE_SYSTEM_BLAS=0 \ USE_SYSTEM_LAPACK=0 \ USE_SYSTEM_SUITESPARSE=0 \ Make the problem go away. So it is the interaction between the system blas/lapack and the built suitesparese. Are there any patches that julia carries

Re: [julia-users] obscure error in Julia 0.3.3

A fellow archuser here. Under which circumstances does the error occur? Eg. what code are you executing? And what does pacman -Qi julia blas lapack output On Monday, 15 December 2014 19:14:22 UTC+1, Andrei Berceanu wrote: Where do i need to type all this? I must mention that I did not

[julia-users] Re: @profile - don't wait for me computation?

For reference the discussion about slow backtraces on windows started here https://groups.google.com/forum/#!msg/julia-users/hNEJtracCuI/bTaKlrKLIAcJ and the PR reducing the sampling interval can be found https://github.com/JuliaLang/julia/pull/9241 On Sunday, 14 December 2014 23:51:41 UTC+1,

Re: [julia-users] Re: Finite element code in Julia: Curious overhead in .* product

What do you think? Why is the code still getting hit with a big performance/memory penalty? Thanks, Petr On Monday, December 8, 2014 2:03:02 PM UTC-8, Valentin Churavy wrote: I would think that when f is a 1x1 matrix Julia is allocating a new

Re: [julia-users] Re: home page content

I agree that displaying runnable code widgets are useless, but showing the good integration with Jupyter/IPython via juliabox/tmpnb/SAGE is not. It would enable to demonstrated people features of Julia without having them actually installing yet another programming environment, thus reducing

Re: [julia-users] Re: home page content

I like the point: Solving P=NP reminds me of rust's * In theory. Rust is a work-in-progress and may do anything it likes up to and including eating your laundry. On Wednesday, 10 December 2014 19:15:05 UTC+1, Christian Peel wrote: One thing that I would very much appreciate is some kind of

Re: [julia-users] Re: home page content

An other nice example might be the new haskell homepage http://new-www.haskell.org/ For the runnable part. Maybe we could use tmpnb/juliabox to host an example notebook. We should probably use a docker image with an userimages otherwise the attention span will be over before Gadfly is loaded.

[julia-users] Re: Finite element code in Julia: Curious overhead in .* product

I would think that when f is a 1x1 matrix Julia is allocating a new 1x1 matrix to store the result. If it is a scalar that allocation can be skipped. When this part of the code is now in a hot loop it might happen that you allocate millions of very small short-lived objects and that taxes the

Re: [julia-users] Re: Simple Finite Difference Methods

Hi Christoph, If you pass in a function via an argument the compiler get relatively little information about that function and can not do any optimization on it. That is part of the reason why map(f, xs) is currently slower than a for-loop. There are ongoing discussions on how to solve that

Re: [julia-users] Re: Text editor for coding Julia: Atom vs Light Table vs Bracket

Julia is in this regard not like Matlab. In Matlab a function file is with the right name is picked up by the interpreter and loaded. In Julia you first have to include your file [1] and the you can call using A. The profile function is a bit hidden but an explanation can be found here [2]

[julia-users] Re: Simple Finite Difference Methods

for the typos - I am normally better at testing.) Christoph On Sunday, 30 November 2014 20:54:40 UTC, Valentin Churavy wrote: I found a second error in lj_cstyle t is calculated wrongly: t = 1./s*s*s != 1/s^3 It probably should be t = 1.0 / (s * s * s) t = 1.0 / (s*s*s) E += t*t - 2

[julia-users] Re: Simple Finite Difference Methods

Nice work! Regarding the pretty Julia version of Lennard-Jones MD. You can shape of another second (on my machine) by not passing in the lj method as a parameter, but directly calling it. I tried to write an optimize version of your lj_pretty function by analysing it with @profile and

Re: [julia-users] Re: Text editor for coding Julia: Atom vs Light Table vs Bracket

So one argument feature wise for Juno/Lightable is the good integration of profile(). You get an inline view of how expensive each line is that you can directly jump from the call tree to the appropriate line. On Sunday, 30 November 2014 19:00:07 UTC+1, Hans W Borchers wrote: Yes, I found

[julia-users] Re: Simple Finite Difference Methods

On Sunday, 30 November 2014 20:54:58 UTC+1, Valentin Churavy wrote: Nice work! Regarding the pretty Julia version of Lennard-Jones MD. You can shape of another second (on my machine) by not passing in the lj method as a parameter, but directly calling it. I tried to write an optimize

[julia-users] Re: Compose.jl Tutorials for working on Gadfly.jl

There is also https://github.com/dcjones/Compose.jl/tree/master/examples On Saturday, 22 November 2014 10:08:41 UTC+1, ccsv.1...@gmail.com wrote: Are there any tutorials for Compose.jl other than the documentation page? I want to try to make pie charts and venn diagrams.

[julia-users] Re: Simple type constructor question

You could using a abstract type instead of a Union abstract Element type Tree body :: Element end type Branch : Element a :: Tree b :: Tree end type Leaf : Element a end so this would create a tree julia Tree(Branch( Tree(Leaf(:a)),

Re: [julia-users] external editor from IJulia

After looking at https://github.com/JuliaLang/julia/blob/1c4e8270646f7d5cab3d259f0464e6ea66e3574a/base/interactiveutil.jl#L11 it seems that you should set JULIA_EDITOR. It might be that your VISUAL variable is still set to Vim. V On Wednesday, 1 October 2014 15:24:30 UTC+2, Andrei Berceanu

[julia-users] Re: question about performance hit because of build options on unix HPC

Hej, so from what I gather if you set JULIA_CPU_TARGET=core2, Julia restricts itself to the cpu features defined here: http://llvm.org/viewvc/llvm-project/llvm/trunk/lib/Target/X86/X86.td?view=markup Currently the only supported and tested options are i386, core2 and native, whereas native

[julia-users] Re: How to import module from another file in same directory?

What you are looking for is described in http://julia.readthedocs.org/en/latest/manual/modules/#relative-and-absolute-module-paths in P.jl you include all your submodules module P include(u.jl) include(a.jl) include(b.jl) using .A, .B export f, g end u.jl module U g() = 5 f() = 6

[julia-users] Re: What's new in 0.3?

There is https://github.com/JuliaLang/julia/blob/v0.3.0/NEWS.md On Saturday, 23 August 2014 15:02:56 UTC+2, Ed Scheinerman wrote: Is there a document describing new features and significant changes between versions 0.2 and 0.3? One item I noticed is that in 0.2 the express 1:5 == [1:5]

[julia-users] Re: ANN: PGF/TikZ packages

There is also a PGF backend for Compose which is used by Gadfly, which is producing quite nice plots. On Saturday, 23 August 2014 00:22:34 UTC+2, Kaj Wiik wrote: Hi! I've been using Tikz, so this package is very welcome! However, using PGFPlots a=plot(rand(20),rand(20)) save(test.pdf,

[julia-users] Async callbacks

Hey there, I am trying to create an asynchronous thread-safe callback following the guidelines here http://julia.readthedocs.org/en/latest/manual/calling-c-and-fortran-code/#thread-safety Trying to do one thing after another I tried to manually call my callback via the thread safe and

Re: [julia-users] Re: Async callbacks

if you are using an 0.3 snapshot then you need to change your cb function so that it only takes one argument, data --- the status argument was eliminated. On Tuesday, June 10, 2014 1:55:56 PM UTC-4, Valentin Churavy wrote: Hey there, I am trying to create an asynchronous thread-safe callback

[julia-users] Re: Citing Julia

Valentin Churavy følgende: My colleagues and I are in the midst of finishing a research paper in which the code was mostly written in Julia. Since without Julia the work on it would have not been as much fun or as fast I would like to give credit where credit is due. Is there any publication

Re: [julia-users] Re: Citing Julia

what your working on. I'm always interested in what other people are up to. Best, Jake On Wednesday, March 19, 2014 10:58:50 AM UTC-4, Valentin Churavy wrote: Thanks I totally didn't see that :). I will definitely cite the first paper there and julialang.org. Cheers, Valentin

[julia-users] Citing Julia

My colleagues and I are in the midst of finishing a research paper in which the code was mostly written in Julia. Since without Julia the work on it would have not been as much fun or as fast I would like to give credit where credit is due. Is there any publication one should cite when using

[julia-users] push! on multidimensional arrays

Hello there, I am looking into ways to grow a multidimensional array in julia. Essential I would like to do the following: d1=10 d2=10 A=Array(Float64, d1, d2, 0) b=ones(d1, d2) push!(A, b) A[:, :, 1] == b Is there any way to do such a thing? According to the documentation on Dequeues the