Re: [julia-users] Re: Julia Summer of Code
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 anth...@berkeley.edu 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/davidagolddavidagold 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/rohitvarkeyrohitvarkey 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/SimonDanischSimonDanisch 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
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
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
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 ste...@karpinski.org Sent: 10-06-2015 20:40 To: Julia Users julia-users@googlegroups.com 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 nalimi...@club.fr 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
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 nalimi...@club.fr 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
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
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
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 https://golang.org/src/cmd/gofmt/gofmt.go 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
Sorry, that should have been June 1. On Sat, May 30, 2015, 11:52 Jiahao Chen cjia...@gmail.com 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
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 cjia...@gmail.com Sent: 30-05-2015 12:13 To: julia-users@googlegroups.com 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 cjia...@gmail.com 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
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
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
[julia-users] Re: Julia Summer of Code
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
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
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.
Re: [julia-users] Re: Julia Summer of Code
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 vi...@mayin.org 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 jia...@mit.edu 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 jia...@mit.edu 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
[julia-users] Re: Julia Summer of Code
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 http://julialang.org/gsoc/2015/#project-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
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
Re: [julia-users] Re: Julia Summer of Code
You should certainly write to pluskid - Mocha's author. On Thu, May 28, 2015 at 9:35 AM, Siva Prasad Varma sivapva...@gmail.com 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
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 sivap...@gmail.com javascript: 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
[julia-users] Re: Julia Summer of Code
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 https://github.com/JuliaLang/julialang.github.com/blob/master/gsoc/2015/index.md#project-native-julia-solvers-for-ordinary-differential-equations. There are discussions on the matter [1 https://github.com/JuliaLang/ODE.jl/issues/18][2 https://github.com/JuliaLang/julia/issues/75] 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
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
Hello, I'm a CS student interested in implementing the ODE solver mentioned in the project ideas page https://github.com/JuliaLang/julialang.github.com/blob/master/gsoc/2015/index.md#project-native-julia-solvers-for-ordinary-differential-equations. There are discussions on the matter [1 https://github.com/JuliaLang/ODE.jl/issues/18][2 https://github.com/JuliaLang/julia/issues/75] 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
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
Re: [julia-users] Re: Julia Summer of Code
@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 dluna...@gmail.com 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
Re: [julia-users] Re: Julia Summer of Code
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 jia...@mit.edu 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 jia...@mit.edu 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
[julia-users] Re: Julia Summer of Code
I am hoping to join JSOC to apply for the autoformat-tool http://julialang.org/gsoc/2015/#project-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
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
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 https://github.com/JuliaLang/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
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
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 https://github.com/apache/spark/tree/master/python/pyspark since Julia and Python are similar in capability. I think I counted about 6K lines (including comments). According to the pyspark presentation https://www.youtube.com/watch?v=xc7Lc8RA8wE, 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
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
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
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
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
Re: [julia-users] Re: Julia Summer of Code
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
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 truth...@gmail.com 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?
[julia-users] Re: Julia Summer of Code
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 https://github.com/apache/spark/tree/master/python/pyspark since Julia and Python are similar in capability. I think I counted about 6K lines (including comments). According to the pyspark presentation https://www.youtube.com/watch?v=xc7Lc8RA8wE, 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.
Re: [julia-users] Re: Julia Summer of Code
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 truth...@gmail.com 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
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
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 https://github.com/apache/spark/tree/master/python/pyspark since Julia and Python are similar in capability. I think I counted about 6K lines (including comments). According to the pyspark presentation https://www.youtube.com/watch?v=xc7Lc8RA8wE, 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
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
On Sat, May 16, 2015 at 6:30 PM, Oscar Blumberg oscar.blumb...@ens.fr 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
Re: [julia-users] Re: Julia Summer of Code
+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
[julia-users] Re: Julia Summer of Code
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
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
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
