+1 I think it's a great idea, Felix On Fri, Jan 6, 2017 at 11:54 AM, <fschue...@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>
