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From Mike Dusenberry <dusenberr...@gmail.com>
Subject Re: [Discuss] Google Summer of Code (GSoc) 2017
Date Fri, 06 Jan 2017 20:12:20 GMT
+1  We should definitely submit a few good project proposals, and
particularly those that aim to improve the ability of the user to work on a
wide range of ML problems in a simple and easy manner on top of Spark.
This could include: building out a full ML demo to solve a real,
large-scale problem that would benefit from a distributed approach; overall
performance improvements that address a full class, or wider area, of ML
algorithms, rather than a single, specific script; infrastructure for
[performance] testing, and identification of wide areas of improvement
(your example proposal fits here, and is quite nice!); helping with
building out fully-featured, clean, well-tested DSLs in Python & Scala
(we've started, but it would be good to continue stressing them -- we could
even aim to replace DML with the DSLs); etc.  I like the example proposal
that you've given since it would be beneficial to the entire project,
rather than a single, isolated area.

- Mike


--

Michael W. Dusenberry
GitHub: github.com/dusenberrymw
LinkedIn: linkedin.com/in/mikedusenberry

On Fri, Jan 6, 2017 at 11:57 AM, Madison Myers <madisonjmyers@gmail.com>
wrote:

> +1 I think it's a great idea, Felix
>
> On Fri, Jan 6, 2017 at 11:54 AM, <fschueler@posteo.de> wrote:
>
> > Hi all,
> >
> > as it just came up on the ML, I want to bring this up again for general
> > discussion. I think we should try to get at least one or two students for
> > this year's GSOC. If you have never heard of GSOC, look here:
> > http://write.flossmanuals.net/gsoc-mentoring/what-is-gsoc/ and here:
> > https://developers.google.com/open-source/gsoc/
> >
> > Applications for organizations open on January 19th and it is a great way
> > of introducing new people to the SystemML development and get more
> > contributors.
> > To apply, we need to propose projects for a 4-month period in which a
> > student works on them full time (May - August). Each proposed project
> needs
> > one community member to mentor it - in the end Google decides how many
> > students each project gets, depending of the quality of the proposed
> ideas.
> > To successfully apply we need (1) good ideas for projects and (2) people
> > willing to mentor those ideas.
> > For an initial brainstorming I suggest that we first figure out if we
> want
> > to participate (which mainly means we need to find people willing to
> mentor
> > projects) and then start collecting ideas. Ideas can be anything from
> > infrastructure, to core development or implementation of new algorithms.
> >
> > Here is a quick example of how a project proposal could look like:
> >
> >
> > Title: Performance Benchmarks and Experiments
> >
> > Description: To make decisions about new features and the evaluation of
> > old assumptions we need up-to-date performance statistics on multiple
> > levels of the systems and on different architectures (local, distributed,
> > GPU). The systematic evaluation of performance can be measured with
> > performance tests and micro-benchmarks. In this way, changes to the
> project
> > or alternative implementations (i.g. for low-level linear algebra
> backends)
> > can be systematically evaluated and compared. (Semi-) Automated
> benchmarks
> > can help make these decisions and challenge assumptions that were made
> > during earlier development. In the course of this project, the student
> > should build a benchmark infrastructure and conduct experiments, that
> > compare different choices in critical parts (sparsity thresholds, BLAS
> > backends, optimization decisions, etc.).
> >
> > Expected Outcome: A benchmark suite than can be used to detect
> regressions
> > or improvements in critical components of the system.
> >
> > Skills required: Java/Scala, some knowledge of benchmarking; preferred:
> > knowledge about high-performance-computing and/or distributed systems.
> >
> > Possible Mentors: Matthias, Niketan, Nakul, Felix
> >
> >
> > Let's decide on if we want to apply as an organization!
> >
> > - Felix
> >
>
>
>
> --
> *Madison J. Myers*
> *--------------------------*
> *Spark Technology Center, IBM Watson*
> *UC Berkeley, Master of Information & Data Science '17*
>
> *King's College London, MA Political Science '14*
> *New York University, BA Political Science '12*
>
>    -
>       LinkedIn <http://linkedin.com/in/madisonjmyers>
>

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