Re: [julia-users] Re: Julia Summer of Code

[Shashi Gowda]

An update:

We have 2 more accepted JSoC projects, thanks to further funding from The
Moor Foundation and MIT.

*Kyunghun Kim* <https://github.com/moon6pence> will be working on HPGPU
Programming for Julia (mentored by Tim Holy)
*Brian Cohen <https://github.com/notthemessiah>* will be working on
implementing a test suit for Escher.jl (mentored by me)


On Tue, Jun 23, 2015 at 5:24 AM, David Anthoff  wrote:

> Congratulations, looks like a great list!
>
>
>
> *From:* julia-users@googlegroups.com [mailto:julia-users@googlegroups.com]
> *On Behalf Of *Jiahao Chen
> *Sent:* Tuesday, June 9, 2015 11:15 PM
> *To:* julia-users@googlegroups.com
> *Subject:* [julia-users] Re: Julia Summer of Code
>
>
>
> I am pleased to announce the list of accepted participants and projects
> for the 2015 Julia Summer of Code:
>
>-
>- *Ambuj Agrawal*, Improving debug information generation in Julia
>(mentor: Keno Fischer @Keno <https://github.com/Keno>)
>- *David Gold (@ <https://github.com/davidagold>davidagold
><https://github.com/davidagold>)*, Nullable arrays (mentor: John Myles
>White @johnmyleswhite <https://github.com/johnmyleswhite>)
>- *Jacob Quinn (@quinnj <https://github.com/quinnj>)*, Pipelines.jl:
>composable streams for data transfer and processing (mentor: Viral B. Shah
>@ViralBShah <https://github.com/ViralBShah>)
>- *Jarrett Revels (@jrevels <https://github.com/jrevels>)*, Automatic
>differentiation (mentors: Miles Lubin @mlubin
><https://github.com/mlubin> and Theodore Papamarkou @scidom
><https://github.com/scidom>)
>- *Kenta Sato (@bicycle1885 <https://github.com/bicycle1885>)*,
>Efficient data structures and algorithms for sequence analysis in BioJulia
> (mentor: Daniel C. Jones @dcjones <https://github.com/dcjones>)
>- *Rohit Varkey Thankachan (@
><https://github.com/rohitvarkey>rohitvarkey
><https://github.com/rohitvarkey>)*, Compose3D.jl: declarative 3D
>graphics (mentors: Shashi Gowda @shashi <https://github.com/shashi>
>and Simon Danisch @SimonDanisch <https://github.com/SimonDanisch>)
>- *Simon Danisch (@ <https://github.com/SimonDanisch>SimonDanisch
><https://github.com/SimonDanisch>)*, GLVisualize.jl: OpenGL
>visualization in Julia (mentor: Keno Fischer @Keno
><https://github.com/Keno>)
>
> Congratulations to the selected participants and a big thank you to all
> the mentors who agreed to donate their time toward improving Julia.
>
>
>
> Thanks also to the other committee members Alan Edelman, Keno Fischer,
> Miles Lubin, Shashi Gowda, Stefan Karpinski, and Viral Shah for their
> efforts in evaluating the many proposals received.
>

RE: [julia-users] Re: Julia Summer of Code

[David Anthoff]

Congratulations, looks like a great list!

 

From: julia-users@googlegroups.com [mailto:julia-users@googlegroups.com] On 
Behalf Of Jiahao Chen
Sent: Tuesday, June 9, 2015 11:15 PM
To: julia-users@googlegroups.com
Subject: [julia-users] Re: Julia Summer of Code

 

I am pleased to announce the list of accepted participants and projects for the 
2015 Julia Summer of Code:

*
*   Ambuj Agrawal, Improving debug information generation in Julia (mentor: 
Keno Fischer @Keno <https://github.com/Keno> )
*   David Gold (@ <https://github.com/davidagold> davidagold 
<https://github.com/davidagold> ), Nullable arrays (mentor: John Myles White 
@johnmyleswhite <https://github.com/johnmyleswhite> )
*   Jacob Quinn (@quinnj <https://github.com/quinnj> ), Pipelines.jl: 
composable streams for data transfer and processing (mentor: Viral B. Shah 
@ViralBShah <https://github.com/ViralBShah> )
*   Jarrett Revels (@jrevels <https://github.com/jrevels> ), Automatic 
differentiation (mentors: Miles Lubin @mlubin <https://github.com/mlubin>  and 
Theodore Papamarkou @scidom <https://github.com/scidom> )
*   Kenta Sato (@bicycle1885 <https://github.com/bicycle1885> ), Efficient 
data structures and algorithms for sequence analysis in BioJulia  (mentor: 
Daniel C. Jones @dcjones <https://github.com/dcjones> )
*   Rohit Varkey Thankachan (@ <https://github.com/rohitvarkey> rohitvarkey 
<https://github.com/rohitvarkey> ), Compose3D.jl: declarative 3D graphics 
(mentors: Shashi Gowda @shashi <https://github.com/shashi>  and Simon Danisch 
@SimonDanisch <https://github.com/SimonDanisch> )
*   Simon Danisch (@ <https://github.com/SimonDanisch> SimonDanisch 
<https://github.com/SimonDanisch> ), GLVisualize.jl: OpenGL visualization in 
Julia (mentor: Keno Fischer @Keno <https://github.com/Keno> )

Congratulations to the selected participants and a big thank you to all the 
mentors who agreed to donate their time toward improving Julia.

 

Thanks also to the other committee members Alan Edelman, Keno Fischer, Miles 
Lubin, Shashi Gowda, Stefan Karpinski, and Viral Shah for their efforts in 
evaluating the many proposals received.

RE: [julia-users] Re: Julia Summer of Code

[Rohit Kashyap]

Yes definitely :)

-Original Message-
From: "Marcus Appelros" 
Sent: ‎11-‎06-‎2015 01:06
To: "julia-users@googlegroups.com" 
Subject: Re: [julia-users] Re: Julia Summer of Code

@Rohit: Judging from your proposal you are into ML and AI, am planning
a crowd trained music making ANN. We can collaborate, if you like.

On 10 June 2015 at 22:26, Rohit Kashyap  wrote:
> Hi,
> I am new in Julia lang community.
> I came to know about it through JSoC.
> Though I didn't get through with my proposal in JSoC but I am very
> interested in starting up to contribute in packages, modules.
> Any guidance, pointers will be appreciated.
> Thanks
> 
> From: Stefan Karpinski
> Sent: ‎10-‎06-‎2015 20:40
> To: Julia Users
> Subject: Re: [julia-users] Re: Julia Summer of Code
>
> I wanted to say thank you to everyone who applied. There were many great
> proposals and there were some tough choices of how to apply our limited
> funds, generously contributed by the Gordon and Betty Moore Foundation. Even
> if your project didn't get accepted, we hope to see you around the mailing
> lists and on GitHub.
>
> On Wed, Jun 10, 2015 at 4:28 AM, Milan Bouchet-Valat 
> wrote:
>>
>> Le mardi 09 juin 2015 à 23:14 -0700, Jiahao Chen a écrit :
>> > I am pleased to announce the list of accepted participants and
>> > projects for the 2015 Julia Summer of Code:
>> >   * Ambuj Agrawal, Improving debug information generation in Julia
>> > (mentor: Keno Fischer @Keno)
>> >   * David Gold (@davidagold), Nullable arrays (mentor: John Myles
>> > White @johnmyleswhite)
>> >   * Jacob Quinn (@quinnj), Pipelines.jl: composable streams for
>> > data transfer and processing (mentor: Viral B. Shah
>> > @ViralBShah)
>> >   * Jarrett Revels (@jrevels), Automatic differentiation (mentors:
>> > Miles Lubin @mlubin and Theodore Papamarkou @scidom)
>> >   * Kenta Sato (@bicycle1885), Efficient data structures and
>> > algorithms for sequence analysis in BioJulia  (mentor: Daniel
>> > C. Jones @dcjones)
>> >   * Rohit Varkey Thankachan (@rohitvarkey), Compose3D.jl:
>> > declarative 3D graphics (mentors: Shashi Gowda @shashi and
>> > Simon Danisch @SimonDanisch)
>> >   * Simon Danisch (@SimonDanisch), GLVisualize.jl: OpenGL
>> > visualization in Julia (mentor: Keno Fischer @Keno)
>> > Congratulations to the selected participants and a big thank you to
>> > all the mentors who agreed to donate their time toward improving
>> > Julia.
>> Glad to hear that somebody is going to work on NullableArrays! (Of
>> course, other projects are great too. ;-)
>>
>>
>> Regards
>>
>> >
>> > Thanks also to the other committee members Alan Edelman, Keno Fischer,
>> > Miles Lubin, Shashi Gowda, Stefan Karpinski, and Viral Shah for their
>> > efforts in evaluating the many proposals received.
>>
>

Re: [julia-users] Re: Julia Summer of Code

[Marcus Appelros]

@Rohit: Judging from your proposal you are into ML and AI, am planning
a crowd trained music making ANN. We can collaborate, if you like.

On 10 June 2015 at 22:26, Rohit Kashyap  wrote:
> Hi,
> I am new in Julia lang community.
> I came to know about it through JSoC.
> Though I didn't get through with my proposal in JSoC but I am very
> interested in starting up to contribute in packages, modules.
> Any guidance, pointers will be appreciated.
> Thanks
> 
> From: Stefan Karpinski
> Sent: ‎10-‎06-‎2015 20:40
> To: Julia Users
> Subject: Re: [julia-users] Re: Julia Summer of Code
>
> I wanted to say thank you to everyone who applied. There were many great
> proposals and there were some tough choices of how to apply our limited
> funds, generously contributed by the Gordon and Betty Moore Foundation. Even
> if your project didn't get accepted, we hope to see you around the mailing
> lists and on GitHub.
>
> On Wed, Jun 10, 2015 at 4:28 AM, Milan Bouchet-Valat 
> wrote:
>>
>> Le mardi 09 juin 2015 à 23:14 -0700, Jiahao Chen a écrit :
>> > I am pleased to announce the list of accepted participants and
>> > projects for the 2015 Julia Summer of Code:
>> >   * Ambuj Agrawal, Improving debug information generation in Julia
>> > (mentor: Keno Fischer @Keno)
>> >   * David Gold (@davidagold), Nullable arrays (mentor: John Myles
>> > White @johnmyleswhite)
>> >   * Jacob Quinn (@quinnj), Pipelines.jl: composable streams for
>> > data transfer and processing (mentor: Viral B. Shah
>> > @ViralBShah)
>> >   * Jarrett Revels (@jrevels), Automatic differentiation (mentors:
>> > Miles Lubin @mlubin and Theodore Papamarkou @scidom)
>> >   * Kenta Sato (@bicycle1885), Efficient data structures and
>> > algorithms for sequence analysis in BioJulia  (mentor: Daniel
>> > C. Jones @dcjones)
>> >   * Rohit Varkey Thankachan (@rohitvarkey), Compose3D.jl:
>> > declarative 3D graphics (mentors: Shashi Gowda @shashi and
>> > Simon Danisch @SimonDanisch)
>> >   * Simon Danisch (@SimonDanisch), GLVisualize.jl: OpenGL
>> > visualization in Julia (mentor: Keno Fischer @Keno)
>> > Congratulations to the selected participants and a big thank you to
>> > all the mentors who agreed to donate their time toward improving
>> > Julia.
>> Glad to hear that somebody is going to work on NullableArrays! (Of
>> course, other projects are great too. ;-)
>>
>>
>> Regards
>>
>> >
>> > Thanks also to the other committee members Alan Edelman, Keno Fischer,
>> > Miles Lubin, Shashi Gowda, Stefan Karpinski, and Viral Shah for their
>> > efforts in evaluating the many proposals received.
>>
>

RE: [julia-users] Re: Julia Summer of Code

[Rohit Kashyap]

Hi, 
I am new in Julia lang community.
I came to know about it through JSoC.
Though I didn't get through with my proposal in JSoC but I am very interested 
in starting up to contribute in packages, modules.
Any guidance, pointers will be appreciated.
Thanks

-Original Message-
From: "Stefan Karpinski" 
Sent: ‎10-‎06-‎2015 20:40
To: "Julia Users" 
Subject: Re: [julia-users] Re: Julia Summer of Code

I wanted to say thank you to everyone who applied. There were many great 
proposals and there were some tough choices of how to apply our limited funds, 
generously contributed by the Gordon and Betty Moore Foundation. Even if your 
project didn't get accepted, we hope to see you around the mailing lists and on 
GitHub.


On Wed, Jun 10, 2015 at 4:28 AM, Milan Bouchet-Valat  wrote:

Le mardi 09 juin 2015 à 23:14 -0700, Jiahao Chen a écrit :
> I am pleased to announce the list of accepted participants and
> projects for the 2015 Julia Summer of Code:
>   * Ambuj Agrawal, Improving debug information generation in Julia
> (mentor: Keno Fischer @Keno)
>   * David Gold (@davidagold), Nullable arrays (mentor: John Myles
> White @johnmyleswhite)
>   * Jacob Quinn (@quinnj), Pipelines.jl: composable streams for
> data transfer and processing (mentor: Viral B. Shah
> @ViralBShah)
>   * Jarrett Revels (@jrevels), Automatic differentiation (mentors:
> Miles Lubin @mlubin and Theodore Papamarkou @scidom)
>   * Kenta Sato (@bicycle1885), Efficient data structures and
> algorithms for sequence analysis in BioJulia  (mentor: Daniel
> C. Jones @dcjones)
>   * Rohit Varkey Thankachan (@rohitvarkey), Compose3D.jl:
> declarative 3D graphics (mentors: Shashi Gowda @shashi and
> Simon Danisch @SimonDanisch)
>   * Simon Danisch (@SimonDanisch), GLVisualize.jl: OpenGL
> visualization in Julia (mentor: Keno Fischer @Keno)
> Congratulations to the selected participants and a big thank you to
> all the mentors who agreed to donate their time toward improving
> Julia.
Glad to hear that somebody is going to work on NullableArrays! (Of
course, other projects are great too. ;-)


Regards


>
> Thanks also to the other committee members Alan Edelman, Keno Fischer,
> Miles Lubin, Shashi Gowda, Stefan Karpinski, and Viral Shah for their
> efforts in evaluating the many proposals received.

Re: [julia-users] Re: Julia Summer of Code

[Stefan Karpinski]

I wanted to say thank you to everyone who applied. There were many great
proposals and there were some tough choices of how to apply our limited
funds, generously contributed by the Gordon and Betty Moore Foundation.
Even if your project didn't get accepted, we hope to see you around the
mailing lists and on GitHub.

On Wed, Jun 10, 2015 at 4:28 AM, Milan Bouchet-Valat 
wrote:

> Le mardi 09 juin 2015 à 23:14 -0700, Jiahao Chen a écrit :
> > I am pleased to announce the list of accepted participants and
> > projects for the 2015 Julia Summer of Code:
> >   * Ambuj Agrawal, Improving debug information generation in Julia
> > (mentor: Keno Fischer @Keno)
> >   * David Gold (@davidagold), Nullable arrays (mentor: John Myles
> > White @johnmyleswhite)
> >   * Jacob Quinn (@quinnj), Pipelines.jl: composable streams for
> > data transfer and processing (mentor: Viral B. Shah
> > @ViralBShah)
> >   * Jarrett Revels (@jrevels), Automatic differentiation (mentors:
> > Miles Lubin @mlubin and Theodore Papamarkou @scidom)
> >   * Kenta Sato (@bicycle1885), Efficient data structures and
> > algorithms for sequence analysis in BioJulia  (mentor: Daniel
> > C. Jones @dcjones)
> >   * Rohit Varkey Thankachan (@rohitvarkey), Compose3D.jl:
> > declarative 3D graphics (mentors: Shashi Gowda @shashi and
> > Simon Danisch @SimonDanisch)
> >   * Simon Danisch (@SimonDanisch), GLVisualize.jl: OpenGL
> > visualization in Julia (mentor: Keno Fischer @Keno)
> > Congratulations to the selected participants and a big thank you to
> > all the mentors who agreed to donate their time toward improving
> > Julia.
> Glad to hear that somebody is going to work on NullableArrays! (Of
> course, other projects are great too. ;-)
>
>
> Regards
>
> >
> > Thanks also to the other committee members Alan Edelman, Keno Fischer,
> > Miles Lubin, Shashi Gowda, Stefan Karpinski, and Viral Shah for their
> > efforts in evaluating the many proposals received.
>
>

Re: [julia-users] Re: Julia Summer of Code

[Milan Bouchet-Valat]

Le mardi 09 juin 2015 à 23:14 -0700, Jiahao Chen a écrit :
> I am pleased to announce the list of accepted participants and
> projects for the 2015 Julia Summer of Code:
>   * Ambuj Agrawal, Improving debug information generation in Julia
> (mentor: Keno Fischer @Keno)
>   * David Gold (@davidagold), Nullable arrays (mentor: John Myles
> White @johnmyleswhite)
>   * Jacob Quinn (@quinnj), Pipelines.jl: composable streams for
> data transfer and processing (mentor: Viral B. Shah
> @ViralBShah)
>   * Jarrett Revels (@jrevels), Automatic differentiation (mentors:
> Miles Lubin @mlubin and Theodore Papamarkou @scidom)
>   * Kenta Sato (@bicycle1885), Efficient data structures and
> algorithms for sequence analysis in BioJulia  (mentor: Daniel
> C. Jones @dcjones)
>   * Rohit Varkey Thankachan (@rohitvarkey), Compose3D.jl:
> declarative 3D graphics (mentors: Shashi Gowda @shashi and
> Simon Danisch @SimonDanisch)
>   * Simon Danisch (@SimonDanisch), GLVisualize.jl: OpenGL
> visualization in Julia (mentor: Keno Fischer @Keno)
> Congratulations to the selected participants and a big thank you to
> all the mentors who agreed to donate their time toward improving
> Julia.
Glad to hear that somebody is going to work on NullableArrays! (Of
course, other projects are great too. ;-)


Regards

> 
> Thanks also to the other committee members Alan Edelman, Keno Fischer,
> Miles Lubin, Shashi Gowda, Stefan Karpinski, and Viral Shah for their
> efforts in evaluating the many proposals received.

[julia-users] Re: Julia Summer of Code

[Jiahao Chen]

I am pleased to announce the list of accepted participants and projects for 
the 2015 Julia Summer of Code:

   - 
   - *Ambuj Agrawal*, Improving debug information generation in Julia 
   (mentor: Keno Fischer @Keno )
   - *David Gold (@ **davidagold 
   )*, Nullable arrays (mentor: John Myles 
   White @johnmyleswhite )
   - *Jacob Quinn (@quinnj )*, Pipelines.jl: 
   composable streams for data transfer and processing (mentor: Viral B. Shah 
   @ViralBShah )
   - *Jarrett Revels (@jrevels )*, Automatic 
   differentiation (mentors: Miles Lubin @mlubin  
   and Theodore Papamarkou @scidom )
   - *Kenta Sato (@bicycle1885 )*, 
   Efficient data structures and algorithms for sequence analysis in BioJulia 
(mentor: Daniel C. Jones @dcjones )
   - *Rohit Varkey Thankachan (@ **rohitvarkey 
   )*, Compose3D.jl: declarative 3D 
   graphics (mentors: Shashi Gowda @shashi  and 
   Simon Danisch @SimonDanisch )
   - *Simon Danisch (@ **SimonDanisch 
   )*, GLVisualize.jl: OpenGL 
   visualization in Julia (mentor: Keno Fischer @Keno 
   )

Congratulations to the selected participants and a big thank you to all the 
mentors who agreed to donate their time toward improving Julia.

Thanks also to the other committee members Alan Edelman, Keno Fischer, 
Miles Lubin, Shashi Gowda, Stefan Karpinski, and Viral Shah for their 
efforts in evaluating the many proposals received.

Re: [julia-users] Re: Julia Summer of Code

[Rohit Kashyap]

I have a querry, Can we submit updations in our proposal now ? How are we 
supposed to mention the information about mentor ?

On Sunday, 31 May 2015 16:47:43 UTC+5:30, Rohit Kashyap wrote:
>
> Hi,
> Greetings to all mentors, I request you to go through this Proposal draft 
> and submit your feedback/suggestions for improvements before submission 
> deadline.
>
> https://docs.google.com/document/d/1SrNgmK-GUsxLzxwKwjHWzPzB9Vj53vsIqSH41MRBe34/edit?usp=sharing
>

Re: [julia-users] Re: Julia Summer of Code

[Rohit Kashyap]

Hi,
Greetings to all mentors, I request you to go through this Proposal draft 
and submit your feedback/suggestions for improvements before submission 
deadline.
https://docs.google.com/document/d/1SrNgmK-GUsxLzxwKwjHWzPzB9Vj53vsIqSH41MRBe34/edit?usp=sharing

[julia-users] Re: Julia Summer of Code

[Gurshabad Grover]

I'd like to work on making an autoformat tool for Julia. It is a generic 
but experimental project but I'm sure if the tool is made, it will be 
welcome by the community. I'm familiar with the language  an have a 
structured plan in mind; writing the proposal should not take much time if 
I am able to find a mentor soon. (I plan to use Go's autoformat tool 
 as a blueprint on the things 
the tool needs to take care of)

Please let me know soon if anyone would like to mentor this project! 
Looking forward to working with you.

On Friday, May 15, 2015 at 11:27:24 PM UTC+5:30, Viral Shah wrote:
>
> Folks,
>
> The Moore Foundation is generously funding us to allow for 6-8 Julia 
> Summer of Code projects. Details will be published soon, but if you are 
> interested, please mark your calendars and plan your projects.
>
> -viral
>

RE: [julia-users] Re: Julia Summer of Code

[Rohit Kashyap]

Its ok Sir. I am drafting a proposal and will be sharing with you for 
consideration and discussion for improvement before submission.

-Original Message-
From: "Jiahao Chen" 
Sent: ‎30-‎05-‎2015 12:13
To: "julia-users@googlegroups.com" 
Subject: Re: [julia-users] Re: Julia Summer of Code

Sorry, that should have been June 1.



On Sat, May 30, 2015, 11:52 Jiahao Chen  wrote:

Hi Rohit,


Please read the CFP and submit a proposal by the end of 1 May. The CFP contains 
sample code projects.


http://julialang.org/blog/2015/05/jsoc-cfp/

Re: [julia-users] Re: Julia Summer of Code

[Jiahao Chen]

Sorry, that should have been June 1.

On Sat, May 30, 2015, 11:52 Jiahao Chen  wrote:

> Hi Rohit,
>
> Please read the CFP and submit a proposal by the end of 1 May. The CFP
> contains sample code projects.
>
> http://julialang.org/blog/2015/05/jsoc-cfp/
>
>

[julia-users] Re: Julia Summer of Code

[Jiahao Chen]

Hi Rohit,

Please read the CFP and submit a proposal by the end of 1 May. The CFP 
contains sample code projects.

http://julialang.org/blog/2015/05/jsoc-cfp/

[julia-users] Re: Julia Summer of Code

[Rohit Kashyap]

Sir, I know it's 11th hour but I just got the news about JSoC and would be 
very interested to work on this project.

On Saturday, 16 May 2015 09:06:03 UTC+5:30, Miles Lubin wrote:
>
> This is both a proposal and a call for interested undergraduate and 
> graduate students:
>
> Automatic differentiation is a technique for computing exact numerical 
> derivatives of user-provided code, as opposed to using finite difference 
> approximations which introduce approximation errors. These techniques have 
> a number of applications in statistics, machine learning, optimization, and 
> other fields. Julia as a language is particularly suitable for implementing 
> automatic differentiation, and the existing capabilities are already beyond 
> those of Scipy and MATLAB. We propose a project with the following 
> components:
>
> 1. Experiment with the new fast tuple and SIMD features of Julia 0.4 to 
> develop a blazing fast stack-allocated implementation of DualNumbers with 
> multiple epsilon components. Integrate with existing packages like Optim, 
> JuMP, NLsolve, etc., and measure the performance gains over existing 
> implementations.
>
> 2. Combine this work with the ForwardDiff package, which aims to provide a 
> unified interface to different techniques for forward-mode automatic 
> differentiation, including for higher-order derivatives.
>
> 3. Time permitting, take a step towards the reverse mode of automatic 
> differentiation. Possible projects include developing a new implementation 
> of reverse-mode AD based on the expression-graph format used by JuMP or 
> contributing to existing packages such as ReverseDiffSource and 
> ReverseDiffOverload.
>
> There are quite a number of interesting projects in this area (some with 
> avenues for publication), so we can adjust the work according to the 
> student's interests. An ideal student should be interested in experimenting 
> with state-of-the-art techniques to make code fast. No mathematical 
> background beyond calculus is needed. See juliadiff.org for more info.
>
> Co-mentors: Miles Lubin and Theodore Papamarkou
>
> If this sounds cool and interesting to you, do get in touch!
>

[julia-users] Re: Julia Summer of Code

[Rohit Kashyap]

Sir, I am interested in working on developing the web stack, can we discuss 
about it. Deadline is very near

On Monday, 25 May 2015 20:31:53 UTC+5:30, Seth wrote:
>
> I'd be interested in mentoring a project to develop a robust web stack 
> (starting with OpenSSL, probably). I submitted via NumFocus a couple months 
> ago but the project was not selected.
>
>
>
> On Friday, May 15, 2015 at 10:57:24 AM UTC-7, Viral Shah wrote:
>>
>> Folks,
>>
>> The Moore Foundation is generously funding us to allow for 6-8 Julia 
>> Summer of Code projects. Details will be published soon, but if you are 
>> interested, please mark your calendars and plan your projects.
>>
>> -viral
>>
>

Re: [julia-users] Re: Julia Summer of Code

[Jiahao Chen]

>
> What is this Moore Foundation?  Are you talking about the Gordon and Betty
> Moore Foundation? (that's all that I could find that looked like it might
> fund a project on Google)
>

Yes.

Just what is required for a company to fund a Julia Summer of Code project?
> (I've been advocating that the startup I'm consulting for fund a student
> next summer... [assuming the company is going strong, which I think it
> will, and that Julia is going strong, ditto]).  We've been talking about
> what things we could make some form of open source (MIT, non-commercial
> only, whatever...), and how we could contribute to the Julia community.
>

Good to hear that they might be interested. Perhaps the easiest thing to do
is to make a donation to Julia through NumFocus.

[julia-users] Re: Julia Summer of Code

[Scott Jones]

What is this Moore Foundation?  Are you talking about the Gordon and Betty 
Moore Foundation? (that's all that I could find that looked like it might 
fund a project on Google)

Just what is required for a company to fund a Julia Summer of Code project? 
(I've been advocating that the startup I'm consulting for fund a student 
next summer... [assuming the company is going strong, which I think it 
will, and that Julia is going strong, ditto]).  We've been talking about 
what things we could make some form of open source (MIT, non-commercial 
only, whatever...), and how we could contribute to the Julia community.

On Friday, May 15, 2015 at 7:57:24 PM UTC+2, Viral Shah wrote:
>
> Folks,
>
> The Moore Foundation is generously funding us to allow for 6-8 Julia 
> Summer of Code projects. Details will be published soon, but if you are 
> interested, please mark your calendars and plan your projects.
>
> -viral
>

Re: [julia-users] Re: Julia Summer of Code

[Chiyuan Zhang]

Hi all,

I'm happy to mentor things related to Mocha.jl 
(https://github.com/pluskid/Mocha.jl), deep learning library for Julia. 
There are several TODOs on my list but I had difficulty finding free time 
to do. You are also free to propose anything else that is related:

1. Visualization of the networks (e.g. produce a dot file that could be 
rendered by GraphViz to visualize the network nicely)
2. Provide an easy interface to do small scale experiments (e.g. define a 
model by giving something like [(512,:relu), (512,:relu), 10], and being 
able to train or predict with one function call without worrying about all 
the details of layer definition and solver, coffeebreaks, etc.)
3. Implement Recurrent Neural Networks, LSTM

Best,
Chiyuan

On Thursday, May 28, 2015 at 9:24:37 AM UTC-4, Viral Shah wrote:
>
> You should certainly write to pluskid - Mocha's author.
>
> On Thu, May 28, 2015 at 9:35 AM, Siva Prasad Varma  > wrote:
>
>> I am interested in implementing Neural Network visualization for Mocha 
>> along the lines of https://github.com/ajtulloch/dnngraph or implementing 
>> some algorithms in the IterativeSolvers.jl roadmap depending on whether I 
>> will be able to find a mentor.
>>
>> Thanks,
>> Siva.
>>
>>
>> On Thursday, May 28, 2015 at 9:13:41 AM UTC+5:30, Jiahao Chen wrote:
>>>
>>> I'd be happy to mentor someone working on parallel linear algebra. The 
>>> simplest thing to do that will have very high impact is to implement high 
>>> performance iterative (Golub-Kahan-Lanczos) SVD, similar to what is 
>>> implemented in PROPACK. I'm also interested in a randomized SVD version 
>>> similar to what is described in Halko, Martinsson and Tropp, 
>>> doi:10.1137/090771806.
>>>
>>> I'm sure there are plenty of ODE projects around, but I would like to 
>>> see someone take up the implementation of geometric integrators in ODE.jl.
>>>
>>> Thanks,
>>>
>>> Jiahao Chen
>>> Research Scientist
>>> MIT CSAIL
>>>  
>>
>
>
> -- 
> -viral
>  

Re: [julia-users] Re: Julia Summer of Code

[Viral Shah]

You should certainly write to pluskid - Mocha's author.

On Thu, May 28, 2015 at 9:35 AM, Siva Prasad Varma 
wrote:

> I am interested in implementing Neural Network visualization for Mocha
> along the lines of https://github.com/ajtulloch/dnngraph or implementing
> some algorithms in the IterativeSolvers.jl roadmap depending on whether I
> will be able to find a mentor.
>
> Thanks,
> Siva.
>
>
> On Thursday, May 28, 2015 at 9:13:41 AM UTC+5:30, Jiahao Chen wrote:
>>
>> I'd be happy to mentor someone working on parallel linear algebra. The
>> simplest thing to do that will have very high impact is to implement high
>> performance iterative (Golub-Kahan-Lanczos) SVD, similar to what is
>> implemented in PROPACK. I'm also interested in a randomized SVD version
>> similar to what is described in Halko, Martinsson and Tropp,
>> doi:10.1137/090771806.
>>
>> I'm sure there are plenty of ODE projects around, but I would like to see
>> someone take up the implementation of geometric integrators in ODE.jl.
>>
>> Thanks,
>>
>> Jiahao Chen
>> Research Scientist
>> MIT CSAIL
>>
>


-- 
-viral

Re: [julia-users] Re: Julia Summer of Code

[Siva Prasad Varma]

I am interested in implementing Neural Network visualization for Mocha 
along the lines of https://github.com/ajtulloch/dnngraph or implementing 
some algorithms in the IterativeSolvers.jl roadmap depending on whether I 
will be able to find a mentor.

Thanks,
Siva.


On Thursday, May 28, 2015 at 9:13:41 AM UTC+5:30, Jiahao Chen wrote:
>
> I'd be happy to mentor someone working on parallel linear algebra. The 
> simplest thing to do that will have very high impact is to implement high 
> performance iterative (Golub-Kahan-Lanczos) SVD, similar to what is 
> implemented in PROPACK. I'm also interested in a randomized SVD version 
> similar to what is described in Halko, Martinsson and Tropp, 
> doi:10.1137/090771806.
>
> I'm sure there are plenty of ODE projects around, but I would like to see 
> someone take up the implementation of geometric integrators in ODE.jl.
>
> Thanks,
>
> Jiahao Chen
> Research Scientist
> MIT CSAIL
>  

[julia-users] Re: Julia Summer of Code

[Job van der Zwan]

On Monday, 25 May 2015 16:26:34 UTC+2, Shantanu Raj wrote:
>
> I am hoping to join JSOC to apply for the autoformat-tool 
>  project, it 
> would be great to have one for Julia too. The project can eventually be 
> extended to a Sublime Text/Atom plugin ala. GoSublime.
>
> I am looking for a mentor, I have the time to devote to the project. 
> Though I am a beginner in Julia programming currently, but I can learn 
> fast. I have worked a lot in Go, and I looked up the source for gofmt, 
> seems reasonable.
>
> Anyone willing to mentor, please feel free to contact me, I'd be highly 
> grateful
>
> - Shantanu
>

I'd love to see a tool like that, hope you'll get in!

Re: [julia-users] Re: Julia Summer of Code

[Shashi Gowda]

A possible project on the UI side of things is expanding functionality in
Escher.jl (https://github.com/shashi/Escher.jl)

Escher is a work-in-progress declarative UI library which lets you make Web
UIs in pure Julia. It works well with Reactive.jl to allow you to create
interactive visualizations/dashboads.

There are 2 possible projects that are suitable for a 3-month period of
work.

1. Testing infrastructure and tests - this should involve using something
like Selenium
2. Expanding the library to include: spreadsheets, Table lens, and/or
anything else you think might be good to have in a Julia UI toolkit

If you are interested, let me know, we can do a hangout at a suitable time
and I will give you an overview of the package. It will be great if others
can spread the word about this project if you have someone in mind who you
think can help out here, especially since there is not much time left.

@Brian, I don't understand what you mean by adding Elm-style FRP to
Jupyter. Currently any Reactive.jl Signal can be shown in a Jupyter
notebook and it will be re-rendered on update.

On Thu, May 28, 2015 at 11:23 AM, Viral Shah  wrote:

> Please do ask everyone who is interested in participating to send their
> project description and mentors also to julia...@googlegroups.com
>
> The last date is June 1, after which we can take a call on how many
> proposals we have received and which ones to fund.
>
> -viral
>
> On Thu, May 28, 2015 at 10:16 AM, Jiahao Chen  wrote:
>
>> Reposting from a question I got offline:
>>
>> IterativeSolvers.jl implements a basic GKL SVD, but it has not been
>> tested for performance with distributed arrays. The project I have in mind
>> will consist of benchmarking and rewriting any necessary parts for speed.
>> Most of the work I foresee coming from improving the speed of parallel
>> matrix-vector products, and particularly implementing linear algebra
>> operations for sparse distributed matrices, which don't exist right now.
>>
>> There are also questions of how to deal with numerical stability issues
>> and reorthogonalization, and how to design an implementation that allows
>> users fine-grained control of reorthogonalization for speed-accuracy
>> tradeoffs.
>>
>> Thanks,
>>
>> Jiahao Chen
>> Research Scientist
>> MIT CSAIL
>>
>>
>> Thanks,
>>
>> Jiahao Chen
>> Research Scientist
>> MIT CSAIL
>>
>> On Thu, May 28, 2015 at 11:43 AM, Jiahao Chen  wrote:
>>
>>> I'd be happy to mentor someone working on parallel linear algebra. The
>>> simplest thing to do that will have very high impact is to implement high
>>> performance iterative (Golub-Kahan-Lanczos) SVD, similar to what is
>>> implemented in PROPACK. I'm also interested in a randomized SVD version
>>> similar to what is described in Halko, Martinsson and Tropp,
>>> doi:10.1137/090771806.
>>>
>>> I'm sure there are plenty of ODE projects around, but I would like to
>>> see someone take up the implementation of geometric integrators in ODE.jl.
>>>
>>> Thanks,
>>>
>>> Jiahao Chen
>>> Research Scientist
>>> MIT CSAIL
>>>
>>
>>
>
>
> --
> -viral
>

Re: [julia-users] Re: Julia Summer of Code

[Viral Shah]

Please do ask everyone who is interested in participating to send their
project description and mentors also to julia...@googlegroups.com

The last date is June 1, after which we can take a call on how many
proposals we have received and which ones to fund.

-viral

On Thu, May 28, 2015 at 10:16 AM, Jiahao Chen  wrote:

> Reposting from a question I got offline:
>
> IterativeSolvers.jl implements a basic GKL SVD, but it has not been tested
> for performance with distributed arrays. The project I have in mind will
> consist of benchmarking and rewriting any necessary parts for speed. Most
> of the work I foresee coming from improving the speed of parallel
> matrix-vector products, and particularly implementing linear algebra
> operations for sparse distributed matrices, which don't exist right now.
>
> There are also questions of how to deal with numerical stability issues
> and reorthogonalization, and how to design an implementation that allows
> users fine-grained control of reorthogonalization for speed-accuracy
> tradeoffs.
>
> Thanks,
>
> Jiahao Chen
> Research Scientist
> MIT CSAIL
>
>
> Thanks,
>
> Jiahao Chen
> Research Scientist
> MIT CSAIL
>
> On Thu, May 28, 2015 at 11:43 AM, Jiahao Chen  wrote:
>
>> I'd be happy to mentor someone working on parallel linear algebra. The
>> simplest thing to do that will have very high impact is to implement high
>> performance iterative (Golub-Kahan-Lanczos) SVD, similar to what is
>> implemented in PROPACK. I'm also interested in a randomized SVD version
>> similar to what is described in Halko, Martinsson and Tropp,
>> doi:10.1137/090771806.
>>
>> I'm sure there are plenty of ODE projects around, but I would like to see
>> someone take up the implementation of geometric integrators in ODE.jl.
>>
>> Thanks,
>>
>> Jiahao Chen
>> Research Scientist
>> MIT CSAIL
>>
>
>


-- 
-viral

Re: [julia-users] Re: Julia Summer of Code

[Jiahao Chen]

Reposting from a question I got offline:

IterativeSolvers.jl implements a basic GKL SVD, but it has not been tested
for performance with distributed arrays. The project I have in mind will
consist of benchmarking and rewriting any necessary parts for speed. Most
of the work I foresee coming from improving the speed of parallel
matrix-vector products, and particularly implementing linear algebra
operations for sparse distributed matrices, which don't exist right now.

There are also questions of how to deal with numerical stability issues and
reorthogonalization, and how to design an implementation that allows users
fine-grained control of reorthogonalization for speed-accuracy tradeoffs.

Thanks,

Jiahao Chen
Research Scientist
MIT CSAIL


Thanks,

Jiahao Chen
Research Scientist
MIT CSAIL

On Thu, May 28, 2015 at 11:43 AM, Jiahao Chen  wrote:

> I'd be happy to mentor someone working on parallel linear algebra. The
> simplest thing to do that will have very high impact is to implement high
> performance iterative (Golub-Kahan-Lanczos) SVD, similar to what is
> implemented in PROPACK. I'm also interested in a randomized SVD version
> similar to what is described in Halko, Martinsson and Tropp,
> doi:10.1137/090771806.
>
> I'm sure there are plenty of ODE projects around, but I would like to see
> someone take up the implementation of geometric integrators in ODE.jl.
>
> Thanks,
>
> Jiahao Chen
> Research Scientist
> MIT CSAIL
>

Re: [julia-users] Re: Julia Summer of Code

[Jiahao Chen]

I'd be happy to mentor someone working on parallel linear algebra. The
simplest thing to do that will have very high impact is to implement high
performance iterative (Golub-Kahan-Lanczos) SVD, similar to what is
implemented in PROPACK. I'm also interested in a randomized SVD version
similar to what is described in Halko, Martinsson and Tropp,
doi:10.1137/090771806.

I'm sure there are plenty of ODE projects around, but I would like to see
someone take up the implementation of geometric integrators in ODE.jl.

Thanks,

Jiahao Chen
Research Scientist
MIT CSAIL

Re: [julia-users] Re: Julia Summer of Code

[Andrei]

@Dom, you may also be interested in Mocha.jl [1] - Julia library for deep
learning.

[1]: https://github.com/pluskid/Mocha.jl

On Wed, May 27, 2015 at 8:41 PM, Dom Luna  wrote:

> I'd be interested in bridging Julia and Torch. I believe this has been
> thought about before https://github.com/soumith/NeuralNetworks.jl. What
> are the challenges to starting some work on this?
>
> If not I'd like to work on the JuliaWeb project. I was watching the GoSF
> meeting last night via live stream and in Go 1.5 (master) shared libraries
> are available. This got me thinking it would be cool to interface between
> Julia and Go. Go is known for its server capabilities so leveraging this
> could be very useful. I realize this sounds a bit crazy. It's an idea I've
> had for a little while now that just perhaps became viable. Go runs on a
> boatload of architectures so that shouldn't be a problem either.
> On Friday, May 15, 2015 at 1:57:24 PM UTC-4, Viral Shah wrote:
>>
>> Folks,
>>
>> The Moore Foundation is generously funding us to allow for 6-8 Julia
>> Summer of Code projects. Details will be published soon, but if you are
>> interested, please mark your calendars and plan your projects.
>>
>> -viral
>>
>

[julia-users] Re: Julia Summer of Code

[Dom Luna]

I'd be interested in bridging Julia and Torch. I believe this has been 
thought about before https://github.com/soumith/NeuralNetworks.jl. What are 
the challenges to starting some work on this?

If not I'd like to work on the JuliaWeb project. I was watching the GoSF 
meeting last night via live stream and in Go 1.5 (master) shared libraries 
are available. This got me thinking it would be cool to interface between 
Julia and Go. Go is known for its server capabilities so leveraging this 
could be very useful. I realize this sounds a bit crazy. It's an idea I've 
had for a little while now that just perhaps became viable. Go runs on a 
boatload of architectures so that shouldn't be a problem either.
On Friday, May 15, 2015 at 1:57:24 PM UTC-4, Viral Shah wrote:
>
> Folks,
>
> The Moore Foundation is generously funding us to allow for 6-8 Julia 
> Summer of Code projects. Details will be published soon, but if you are 
> interested, please mark your calendars and plan your projects.
>
> -viral
>

[julia-users] Re: Julia Summer of Code

[Alex]

Hi Alexander and Gurshabad,

Thanks for your interest in JSoC and in particular for considering to help 
with dealing with ODEs in Julia. The two issues linked by Gurshabad are 
indeed the most relevant ones, although I think they are also a bit 
outdated. In ODE.jl we had some developments in the last year and in 
particular Mauro's PR will improve the situation with respect to (explicit) 
RK solvers quite a bit. So I am not sure to what extent the project ideas 
formulated in those two issues are still relevant. It has also been 
suggested to add an ODE solver to Base. Personally I am not very fond of 
this idea, but I know that others were in favor in the past and there might 
still be interest in doing so.

I hope all of that doesn't sound too discouraging! There is certainly 
plenty of stuff to do for ODEs in Julia, but I wanted to put the two issues 
into context of recent developments.

Best,

Alex.


On Wednesday, 27 May 2015 16:49:09 UTC+2, Gurshabad Grover wrote:
>
> Hello,
>
> I'm a CS student interested in implementing the ODE solver mentioned in 
> the project ideas page 
> .
>  
> There are discussions on the matter [1 
> ][2 
> ] which I have gone through 
> and wrapped my head around. I'm confident that I can complete the project 
> and am looking for someone to mentor the project for JSoC. I have more than 
> necessary math background to start on this immediately, and tried making 
> something similar as a personal project some months ago (which sparked my 
> interest in this particular project)
>
> Please let me know if someone is willing to mentor this project; thank you!
>
>
> On Friday, May 15, 2015 at 11:27:24 PM UTC+5:30, Viral Shah wrote:
>>
>> Folks,
>>
>> The Moore Foundation is generously funding us to allow for 6-8 Julia 
>> Summer of Code projects. Details will be published soon, but if you are 
>> interested, please mark your calendars and plan your projects.
>>
>> -viral
>>
>

[julia-users] Re: Julia Summer of Code

[Gurshabad Grover]

Hello,

I'm a CS student interested in implementing the ODE solver mentioned in the 
project 
ideas page 
.
 
There are discussions on the matter [1 
][2 
] which I have gone through 
and wrapped my head around. I'm confident that I can complete the project 
and am looking for someone to mentor the project for JSoC. I have more than 
necessary math background to start on this immediately, and tried making 
something similar as a personal project some months ago (which sparked my 
interest in this particular project)

Please let me know if someone is willing to mentor this project; thank you!


On Friday, May 15, 2015 at 11:27:24 PM UTC+5:30, Viral Shah wrote:
>
> Folks,
>
> The Moore Foundation is generously funding us to allow for 6-8 Julia 
> Summer of Code projects. Details will be published soon, but if you are 
> interested, please mark your calendars and plan your projects.
>
> -viral
>

[julia-users] Re: Julia Summer of Code

[Alexander Frazer]

I'd love to contribute to either the ODE solvers project, one of the 
parallel linear algebra routines project or the GPU package. 

I'm looking for a mentor, so if anyone knows someone who could help please 
reach out!

On Friday, May 15, 2015 at 1:57:24 PM UTC-4, Viral Shah wrote:
>
> Folks,
>
> The Moore Foundation is generously funding us to allow for 6-8 Julia 
> Summer of Code projects. Details will be published soon, but if you are 
> interested, please mark your calendars and plan your projects.
>
> -viral
>

[julia-users] Re: Julia Summer of Code

[Brian Cohen]

I'm looking for a mentor, and I'd be willing to commit to any projects 
involving control systems, linear ODE solving, or something that involves 
making use of types / PL theory. Two project ideas I haven't formalized 
yet: adding Elm-style FRP to Jupyter notebooks (perhaps extending 
Reactive.jl ), or porting 
SymPy/PyDy functionality to Julia. AD looks interesting, and I might be a 
potentially useful candidate having background in Haskell (so I can read 
from Kmett's library).

On Friday, May 15, 2015 at 1:57:24 PM UTC-4, Viral Shah wrote:
>
> Folks,
>
> The Moore Foundation is generously funding us to allow for 6-8 Julia 
> Summer of Code projects. Details will be published soon, but if you are 
> interested, please mark your calendars and plan your projects.
>
> -viral
>

[julia-users] Re: Julia Summer of Code

[Seth]

I'd be interested in mentoring a project to develop a robust web stack 
(starting with OpenSSL, probably). I submitted via NumFocus a couple months 
ago but the project was not selected.



On Friday, May 15, 2015 at 10:57:24 AM UTC-7, Viral Shah wrote:
>
> Folks,
>
> The Moore Foundation is generously funding us to allow for 6-8 Julia 
> Summer of Code projects. Details will be published soon, but if you are 
> interested, please mark your calendars and plan your projects.
>
> -viral
>

[julia-users] Re: Julia Summer of Code

[Shantanu Raj]

I am hoping to join JSOC to apply for the autoformat-tool 
 project, it would 
be great to have one for Julia too. The project can eventually be extended 
to a Sublime Text/Atom plugin ala. GoSublime.

I am looking for a mentor, I have the time to devote to the project. Though 
I am a beginner in Julia programming currently, but I can learn fast. I 
have worked a lot in Go, and I looked up the source for gofmt, seems 
reasonable.

Anyone willing to mentor, please feel free to contact me, I'd be highly 
grateful

- Shantanu

[julia-users] Re: Julia Summer of Code

[Ken B]

I'm willing to participate in JSoC on the reverse-mode AD. 

I'm looking for a mentor. If you know someone that could oversee this, 
don't hesitate to get in touch!

With some experience in Julia as well as in optimization and MCMC, I 
believe I can move this project forward.

Cheers,
Ken Bastiaensen

On Thursday, 21 May 2015 22:50:04 UTC+2, Miles Lubin wrote:
>
> Agreed. There's a lot to be done with reverse-mode AD, though the full 
> scale of the work is beyond that of a summer project. 
>
> FYI, Theodore and I will be working with Jarrett Revels on the project we 
> proposed around DualNumbers and extensions. Hoping to share the results at 
> the end of the summer!
>
> On Thursday, May 21, 2015 at 4:27:27 PM UTC-4, Zenna Tavares wrote:
>>
>> Echoing Miles, I vote for working to extend automatic differentiation 
>> (especially reverse mode) to all of Julia.
>>
>> The work done in the current AD packages is great, but Julia has 
>> sufficiently powerful introspection and metaprogramming capabilities that 
>> we shouldn't, in principle, be limited to small subsets of Julia.
>>
>> I'm not sure I am the one to work on it though.
>>
>> Zenna
>>
>> On Tuesday, May 19, 2015 at 2:52:00 PM UTC-4, Jeff Waller wrote:
>>>
>>> Is this the part where I say Julia-Spark again?  
>>>
>>> I think this is pretty doable in time.  It will likely be more or less a 
>>> port of PySpark 
>>>  since Julia
>>> and Python are similar in capability.  I think I counted about 6K lines 
>>> (including comments).
>>>
>>> According to the pyspark presentation 
>>> , they relied on a 3rd 
>>> party to containerize  a Python
>>> program for transmission -- I think I'm remembering this right.  That 
>>> might be a problem to
>>> overcome.
>>>
>>

[julia-users] Re: Julia Summer of Code

[Rinu Boney]

I'm interested in applying. I hope to contribute to the machine learning 
roadmap posted here: https://github.com/JuliaStats/Roadmap.jl/issues/11. 
I'm looking for a mentor. To apply, am i supposed to prepare a proposal 
similar to GSoC?
 
On Friday, May 15, 2015 at 11:27:24 PM UTC+5:30, Viral Shah wrote:
>
> Folks,
>
> The Moore Foundation is generously funding us to allow for 6-8 Julia 
> Summer of Code projects. Details will be published soon, but if you are 
> interested, please mark your calendars and plan your projects.
>
> -viral
>

[julia-users] Re: Julia Summer of Code

[Marcus Appelros]

Am applying with the Equations package along with a ongoing project to 
develop a course and offer bounties to contributors in the developing world.

Sort of already have a mentor, the director of the information technology 
institute at Vietnam national university Aiviet Nguyen who invited the 
development of the Equations package to be part of his research, however he 
is not a Julia expert.

Is there someone who would like to attach to the project as a mentor in 
areas not covered by Dr Nguyen? If the project is accepted for JSoC all 
compensation will be pledged for expanding the project and you will be 
given power of veto over any suggested expenses.

[julia-users] Re: Julia Summer of Code

[Scott Jones]

Your link is to a local address on your machine...

On Sunday, May 24, 2015 at 12:42:27 AM UTC-4, Miles Lubin wrote:
>
> We've put up a blog post (http://localhost:4000/blog/2015/05/jsoc-cfp/) 
> with some more details on Julia Summer of Code. There are still a number of 
> unfilled slots open; submission deadline is June 1st!
>
> On Friday, May 15, 2015 at 1:57:24 PM UTC-4, Viral Shah wrote:
>>
>> Folks,
>>
>> The Moore Foundation is generously funding us to allow for 6-8 Julia 
>> Summer of Code projects. Details will be published soon, but if you are 
>> interested, please mark your calendars and plan your projects.
>>
>> -viral
>>
>

[julia-users] Re: Julia Summer of Code

[Miles Lubin]

Sorry about that, here's the real 
link: http://julialang.org/blog/2015/05/jsoc-cfp/

On Sunday, May 24, 2015 at 12:42:27 AM UTC-4, Miles Lubin wrote:
>
> We've put up a blog post (http://localhost:4000/blog/2015/05/jsoc-cfp/) 
> with some more details on Julia Summer of Code. There are still a number of 
> unfilled slots open; submission deadline is June 1st!
>
> On Friday, May 15, 2015 at 1:57:24 PM UTC-4, Viral Shah wrote:
>>
>> Folks,
>>
>> The Moore Foundation is generously funding us to allow for 6-8 Julia 
>> Summer of Code projects. Details will be published soon, but if you are 
>> interested, please mark your calendars and plan your projects.
>>
>> -viral
>>
>

[julia-users] Re: Julia Summer of Code

[Miles Lubin]

We've put up a blog post (http://localhost:4000/blog/2015/05/jsoc-cfp/) 
with some more details on Julia Summer of Code. There are still a number of 
unfilled slots open; submission deadline is June 1st!

On Friday, May 15, 2015 at 1:57:24 PM UTC-4, Viral Shah wrote:
>
> Folks,
>
> The Moore Foundation is generously funding us to allow for 6-8 Julia 
> Summer of Code projects. Details will be published soon, but if you are 
> interested, please mark your calendars and plan your projects.
>
> -viral
>

Re: [julia-users] Re: Julia Summer of Code

[Jey Kottalam]

The core functionality is there, but there's also more to be
implemented to have a complete interface to spark-core:

- distributed I/O
- broadcast vars
- accumulator vars
- custom partitioners
- persistence (caching)
- missing transforms and actions

-Jey

On Fri, May 22, 2015 at 12:46 AM, Jeff Waller  wrote:
>
>
> On Thursday, May 21, 2015 at 4:55:16 PM UTC-4, Jey Kottalam wrote:
>>
>> Hi Jeff,
>>
>> > they relied on a 3rd party to containerize  a Pythonprogram for
>> > transmission
>>
>> That is due to the pecularities of Python's serialization module than
>> anything intrinsic to creating a Spark binding. (E.g. Python's pickle
>> format doesn't have support for serializing code and closures, so some
>> extra code was required.) This isn't an issue in Julia since
>> Base.serialize() already has the needed functionality. An initial
>> implementation of a Spark binding done in the same style as PySpark is
>> available at http://github.com/jey/Spock.jl
>>
>> -Jey
>
>
> Hey awesome.  Initial you say, what's missing?

Re: [julia-users] Re: Julia Summer of Code

[Jeff Waller]

On Thursday, May 21, 2015 at 4:55:16 PM UTC-4, Jey Kottalam wrote:
>
> Hi Jeff, 
>
> > they relied on a 3rd party to containerize  a Pythonprogram for 
> transmission 
>
> That is due to the pecularities of Python's serialization module than 
> anything intrinsic to creating a Spark binding. (E.g. Python's pickle 
> format doesn't have support for serializing code and closures, so some 
> extra code was required.) This isn't an issue in Julia since 
> Base.serialize() already has the needed functionality. An initial 
> implementation of a Spark binding done in the same style as PySpark is 
> available at http://github.com/jey/Spock.jl 
>
> -Jey 
>

Hey awesome.  Initial you say, what's missing? 

Re: [julia-users] Re: Julia Summer of Code

[Jey Kottalam]

Hi Jeff,

> they relied on a 3rd party to containerize  a Pythonprogram for transmission

That is due to the pecularities of Python's serialization module than
anything intrinsic to creating a Spark binding. (E.g. Python's pickle
format doesn't have support for serializing code and closures, so some
extra code was required.) This isn't an issue in Julia since
Base.serialize() already has the needed functionality. An initial
implementation of a Spark binding done in the same style as PySpark is
available at http://github.com/jey/Spock.jl

-Jey

On Tue, May 19, 2015 at 11:51 AM, Jeff Waller  wrote:
> Is this the part where I say Julia-Spark again?
>
> I think this is pretty doable in time.  It will likely be more or less a
> port of PySpark since Julia
> and Python are similar in capability.  I think I counted about 6K lines
> (including comments).
>
> According to the pyspark presentation, they relied on a 3rd party to
> containerize  a Python
> program for transmission -- I think I'm remembering this right.  That might
> be a problem to
> overcome.

[julia-users] Re: Julia Summer of Code

[Miles Lubin]

Agreed. There's a lot to be done with reverse-mode AD, though the full 
scale of the work is beyond that of a summer project. 

FYI, Theodore and I will be working with Jarrett Revels on the project we 
proposed around DualNumbers and extensions. Hoping to share the results at 
the end of the summer!

On Thursday, May 21, 2015 at 4:27:27 PM UTC-4, Zenna Tavares wrote:
>
> Echoing Miles, I vote for working to extend automatic differentiation 
> (especially reverse mode) to all of Julia.
>
> The work done in the current AD packages is great, but Julia has 
> sufficiently powerful introspection and metaprogramming capabilities that 
> we shouldn't, in principle, be limited to small subsets of Julia.
>
> I'm not sure I am the one to work on it though.
>
> Zenna
>
> On Tuesday, May 19, 2015 at 2:52:00 PM UTC-4, Jeff Waller wrote:
>>
>> Is this the part where I say Julia-Spark again?  
>>
>> I think this is pretty doable in time.  It will likely be more or less a 
>> port of PySpark 
>>  since Julia
>> and Python are similar in capability.  I think I counted about 6K lines 
>> (including comments).
>>
>> According to the pyspark presentation 
>> , they relied on a 3rd 
>> party to containerize  a Python
>> program for transmission -- I think I'm remembering this right.  That 
>> might be a problem to
>> overcome.
>>
>

[julia-users] Re: Julia Summer of Code

[Zenna Tavares]

Echoing Miles, I vote for working to extend automatic differentiation 
(especially reverse mode) to all of Julia.

The work done in the current AD packages is great, but Julia has 
sufficiently powerful introspection and metaprogramming capabilities that 
we shouldn't, in principle, be limited to small subsets of Julia.

I'm not sure I am the one to work on it though.

Zenna

On Tuesday, May 19, 2015 at 2:52:00 PM UTC-4, Jeff Waller wrote:
>
> Is this the part where I say Julia-Spark again?  
>
> I think this is pretty doable in time.  It will likely be more or less a 
> port of PySpark 
>  since Julia
> and Python are similar in capability.  I think I counted about 6K lines 
> (including comments).
>
> According to the pyspark presentation 
> , they relied on a 3rd party 
> to containerize  a Python
> program for transmission -- I think I'm remembering this right.  That 
> might be a problem to
> overcome.
>

[julia-users] Re: Julia Summer of Code

[Jeff Waller]

Is this the part where I say Julia-Spark again?  

I think this is pretty doable in time.  It will likely be more or less a 
port of PySpark  
since 
Julia
and Python are similar in capability.  I think I counted about 6K lines 
(including comments).

According to the pyspark presentation 
, they relied on a 3rd party 
to containerize  a Python
program for transmission -- I think I'm remembering this right.  That might 
be a problem to
overcome.

[julia-users] Re: Julia Summer of Code

[Páll Haraldsson]

On Sunday, May 17, 2015 at 3:30:49 PM UTC, Páll Haraldsson wrote:
>
>
> I saw an interesting project:
>
> https://github.com/JuliaLang/julialang.github.com/blob/master/gsoc/2015/index.md#project-simple-persistent-distributed-storage
> "This project proposes to implement a very simple persistent storage 
> mechanism for Julia variables so that data can be saved to and loaded from 
> disk with a consistent interface that is agnostic of the underlying storage 
> layer."
>

The GSOC project is probably still useful and Prevayler maybe not be for 
HPC.. I would still like to see it for Julia, but thinking about this more, 
the CommandPattern would generate very high log activity (if say matrix 
multiplication would be transaction level, maybe more coarse-grained would 
be ok). The snapshotting part of it might be better done from outside the 
application (I think there are tools, and they might work better, not sure 
about how Prevayler would handle non-deterministic/parallel. The clustering 
in it is for high-availability).

Maybe Prevayler would help for debugging.. you can rerun through your 
transactions/log but as operations are not always symmetric (matrix 
multiply), you wouldn't get reversible debugging. And for debugging HPC it 
would be slow to do this as you would recompute every step..

-- 
Palli.

[julia-users] Re: Julia Summer of Code

[Páll Haraldsson]

I saw an interesting project:
https://github.com/JuliaLang/julialang.github.com/blob/master/gsoc/2015/index.md#project-simple-persistent-distributed-storage
"This project proposes to implement a very simple persistent storage 
mechanism for Julia variables so that data can be saved to and loaded from 
disk with a consistent interface that is agnostic of the underlying storage 
layer."

["time-stamped versioning" - meaning? Schema evolution was one purported 
downside to:]

This SoC project may or may not be necessary. That is, be agnostic and just 
a wrapper/API. What about implementing (the very small system) Prevayler in 
Julia? I've seen it ported to some languages but since I heard about it in 
2001, I can't say it has taken the world by storm (do not know anyone who 
uses it..). Business types and banks, etc. are very conservative and cling 
to SQL..

https://en.wikipedia.org/wiki/Prevayler
"Prevayler requires enough RAM to keep the entire system state."

This was perceived as a drawback at the time.. Lot's of databases fit, now 
(and in the future). This seems the requirement anyway in HPC. You do not 
want to work on virtual memory..

Is there a reason Prevayler can't be done in Julia? I do not think so. 
Julia has types not OO in the conventional sense and I'm not sure it's an 
issue. If I recall, the only requirement was that objects must be able to 
serialize. I only know it's not appropriate for PHP (because of "no state").

At least look at this article from the horses mouth:

http://www.advogato.org/article/398.html
"Transparent Persistence, Fault-Tolerance and Load-Balancing for Java 
Systems.

Orders of magnitude FASTER and SIMPLER than a traditional DBMS. No pre or 
post-processing required, no weird proprietary VM required, no base-class 
inheritance or clumsy interface definition required: just PLAIN JAVA CODE.
[..]
Question: RAM is getting cheaper every day. Researchers are announcing 
major breakthroughs in memory technology. Even today, servers with 
multi-gigabyte RAM are commonplace. For many systems, it's already feasible 
to keep all business objects in RAM. Why can't I simply do that and forget 
all the database hassle?

Answer: You can, actually.
[..]
If all my objects stay in RAM, will I be able to use SQL-based tools to 
query my objects' attributes?

No. You will be able to use object-based tools. The good news is you will 
no longer be breaking your objects' encapsulation."


I thought it might be a dead project but seems not:

https://github.com/jsampson/prevayler/tree/master
"authored on Aug 12, 2014"


There was some controversy at the time:

http://c2.com/cgi/wiki?ThePrevayler
"Orders of magnitude faster and simpler than a traditional database. Write 
plain java classes (albeit in accordance with a CommandPattern and a few 
constraints): [..] no inheritance from base-class required. Clear 
documentation and demo included.
 3251 times faster than MySQL.
 9983 times faster than ORACLE."

"Aren't you simply dropping all code from DBMs and stuffing it all on the 
application?
No. I have seen prevalent systems that were thousands of lines of code. 
Most DBMs are hundreds of thousands of lines of code. --KlausWuestefeld"

[This one I didn't know..:]
"KentBeck, [..] and KlausWuestefeld paired up for a weekend in december 
2002, on the island of Florianopolis, Brazil, and implemented Florypa, a 
minimal prevalence layer for Smalltalk (VisualWorks) based on Prevayler."


"After having testing Prevayler (and Prevayler-like IMDB's) we came to this 
conclusion: It is useful for prototyping, but fails miserabely in terms of 
a lot of OODBMS/RBMS issues.

In fact, we concluded that when all the problems with Prevayler was solved, 
we had an object-oriented database.

* Sounds like an OOP version of GreencoddsTenthRuleOfProgramming."


http://c2.com/cgi/wiki?GreencoddsTenthRuleOfProgramming
A database-oriented twist on GreenspunsTenthRuleOfProgramming in which, 
"Every sufficiently complex application/language/tool will either have to 
use a database or reinvent one the hard way." I don't know who originally 
said it, so I combined DrCodd's name with Greenspuns'. Ironically, even 
Lisp, the original "greenspun" language, reinvents one by having an 
internal complex data structure (nested list in byte-code form) that takes 
on database-like characteristics.

http://c2.com/cgi/wiki?GreenspunsTenthRuleOfProgramming
"Any sufficiently complicated C or Fortran program contains an ad-hoc, 
informally-specified, bug-ridden, slow implementation of half of 
CommonLisp." as Julia has Lisp-like macros, considered a "lisp" by some, I 
think this "rule" may not apply too well to Julia..

Re: [julia-users] Re: Julia Summer of Code

[Tim Holy]

+1. That seems almost certain to substantially reduce the cost of type-
instability.

For prototyping purposes, I posted a possible pure-julia hack that gets at the 
same issue:
https://groups.google.com/d/msg/julia-dev/fXJznjwQMF0/tsaw2P7uNTcJ

But I agree it would be far preferable to implement this in the language 
itself.

--Tim

On Saturday, May 16, 2015 03:30:42 PM Oscar Blumberg wrote:
> I just added (what I think is) a cool project for anyone who would want to
> dive deep into the compiler. It may be on the hard end of the spectrum but
> we all know what happens when you tell a student something is "too hard" ;)
> 
> https://github.com/JuliaLang/julialang.github.com/blob/master/gsoc/2015/inde
> x.md#project-specialized-call-site-method-caching
> On Friday, May 15, 2015 at 1:57:24 PM UTC-4, Viral Shah wrote:
> > Folks,
> > 
> > The Moore Foundation is generously funding us to allow for 6-8 Julia
> > Summer of Code projects. Details will be published soon, but if you are
> > interested, please mark your calendars and plan your projects.
> > 
> > -viral

Re: [julia-users] Re: Julia Summer of Code

[Yichao Yu]

On Sat, May 16, 2015 at 6:30 PM, Oscar Blumberg  wrote:
> I just added (what I think is) a cool project for anyone who would want to
> dive deep into the compiler. It may be on the hard end of the spectrum but
> we all know what happens when you tell a student something is "too hard" ;)
>
> https://github.com/JuliaLang/julialang.github.com/blob/master/gsoc/2015/index.md#project-specialized-call-site-method-caching
>

Is this the same with https://github.com/JuliaLang/julia/issues/10805
and @vtjnash seems to have a partially working version in place
although disabled by default?

>
> On Friday, May 15, 2015 at 1:57:24 PM UTC-4, Viral Shah wrote:
>>
>> Folks,
>>
>> The Moore Foundation is generously funding us to allow for 6-8 Julia
>> Summer of Code projects. Details will be published soon, but if you are
>> interested, please mark your calendars and plan your projects.
>>
>> -viral

[julia-users] Re: Julia Summer of Code

[Oscar Blumberg]

I just added (what I think is) a cool project for anyone who would want to 
dive deep into the compiler. It may be on the hard end of the spectrum but 
we all know what happens when you tell a student something is "too hard" ;)

https://github.com/JuliaLang/julialang.github.com/blob/master/gsoc/2015/index.md#project-specialized-call-site-method-caching

On Friday, May 15, 2015 at 1:57:24 PM UTC-4, Viral Shah wrote:
>
> Folks,
>
> The Moore Foundation is generously funding us to allow for 6-8 Julia 
> Summer of Code projects. Details will be published soon, but if you are 
> interested, please mark your calendars and plan your projects.
>
> -viral
>

[julia-users] Re: Julia Summer of Code

[Miles Lubin]

This is both a proposal and a call for interested undergraduate and 
graduate students:

Automatic differentiation is a technique for computing exact numerical 
derivatives of user-provided code, as opposed to using finite difference 
approximations which introduce approximation errors. These techniques have 
a number of applications in statistics, machine learning, optimization, and 
other fields. Julia as a language is particularly suitable for implementing 
automatic differentiation, and the existing capabilities are already beyond 
those of Scipy and MATLAB. We propose a project with the following 
components:

1. Experiment with the new fast tuple and SIMD features of Julia 0.4 to 
develop a blazing fast stack-allocated implementation of DualNumbers with 
multiple epsilon components. Integrate with existing packages like Optim, 
JuMP, NLsolve, etc., and measure the performance gains over existing 
implementations.

2. Combine this work with the ForwardDiff package, which aims to provide a 
unified interface to different techniques for forward-mode automatic 
differentiation, including for higher-order derivatives.

3. Time permitting, take a step towards the reverse mode of automatic 
differentiation. Possible projects include developing a new implementation 
of reverse-mode AD based on the expression-graph format used by JuMP or 
contributing to existing packages such as ReverseDiffSource and 
ReverseDiffOverload.

There are quite a number of interesting projects in this area (some with 
avenues for publication), so we can adjust the work according to the 
student's interests. An ideal student should be interested in experimenting 
with state-of-the-art techniques to make code fast. No mathematical 
background beyond calculus is needed. See juliadiff.org for more info.

Co-mentors: Miles Lubin and Theodore Papamarkou

If this sounds cool and interesting to you, do get in touch!

[julia-users] Re: Julia Summer of Code

[Simon Danisch]

Are there any details on how this could have happened? Seems pretty odd to 
me, when looking at what projects have been accepted.

Am Freitag, 15. Mai 2015 19:57:24 UTC+2 schrieb Viral Shah:
>
> Folks,
>
> The Moore Foundation is generously funding us to allow for 6-8 Julia 
> Summer of Code projects. Details will be published soon, but if you are 
> interested, please mark your calendars and plan your projects.
>
> -viral
>