High Performance Computing in R

Jul 2015

13 Mon

14 Tue

15 Wed

16 Thu 08:30 AM – 06:35 PM IST

17 Fri 08:30 AM – 06:30 PM IST

18 Sat 09:00 AM – 06:30 PM IST

19 Sun

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NIMHANS Convention center

Machine Learning, Distributed and Parallel Computing, and High-performance Computing are the themes for this year’s edition of Fifth Elephant.

The deadline for submitting a proposal is 15th June 2015

We are looking for talks and workshops from academics and practitioners who are in the business of making sense of data, big and small.

Track 1: Discovering Insights and Driving Decisions

This track is about general, novel, fundamental, and advanced techniques for making sense of data and driving decisions from data. This could encompass applications of the following ML paradigms:

Statistical Visualizations
Unsupervised Learning
Supervised Learning
Semi-Supervised Learning
Active Learning
Reinforcement Learning
Monte-carlo techniques and probabilistic programming
Deep Learning

Across various data modalities including multi-variate, text, speech, time series, images, video, transactions, etc.

Track 2: Speed at Scale

This track is about tools and processes for collecting, indexing, and processing vast amounts of data. The theme includes:

Distributed and Parallel Computing
Real Time Analytics and Stream Processing
MapReduce and Graph Computing frameworks
Kafka, Spark, Hadoop, MPI
Stories of parallelizing sequential programs
Cost/Security/Disaster Management of Data

HasGeek believes in open source as the binding force of our community. If you are describing a codebase for developers to work with, we’d like it to be available under a permissive open source license. If your software is commercially licensed or available under a combination of commercial and restrictive open source licenses (such as the various forms of the GPL), please consider picking up a sponsorship. We recognize that there are valid reasons for commercial licensing, but ask that you support us in return for giving you an audience. Your session will be marked on the schedule as a sponsored session.

Workshops

If you are interested in conducting a hands-on session on any of the topics falling under the themes of the two tracks described above, please submit a proposal under the workshops section. We also need you to tell us about your past experience in teaching and/or conducting workshops.

Hosted by

The Fifth Elephant

The Fifth Elephant - known as one of the best data science and Machine Learning conference in Asia - has transitioned into a year-round forum for conversations about data and ML engineering; data science in production; data security and privacy practices. more

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High Performance Computing in R

Submitted Jun 3, 2015

Section: Workshop Technical level: Intermediate

This is a hands-on workshop focused on the high performance aspects of R programming. The attendees would get to learn how to identify the performance issues and address them through the use of various R packages. This workshop is targeted towards audience with a basic familiarity in R.

Outline

The following is the outline of the proposed workshop.

1.Understanding R’s slowness
2.Identifying bottlenecks through Profiling
3.Efficient coding practices for improving speed
4.Achieving speed through compiled codes (C++)
5.Overcoming memory limitations
6.Parallel Processing in R

The workshop will include a live demo on each of these topics followed by hands-on lab for the participants.

Requirements

A basic level of programming familiarity with R.

The technology requirements along with a list of R packages to be installed would be provided a week before the workshop. The R scripts and the datasets would be uploaded to Github and shared with the participants.

Speaker bio

Ravishankar Rajagopalan is Senior Principal Data Engineer in the Data Science Infrastructure (DSI) team at [24]7 Innovation Lab’s Data Sciences Group (DSG). As part of DSI, Ravi focusses on developing scalable analytics products. Prior to [24]7, he worked with GE Power and Water as part of advanced analytics team and with Mu Sigma.

Ravi has been using R for 10+ years and has conducted R trainings at [24]7, GE and Mu Sigma. He has also built analytics products through the use of R. He taught undergraduate/graduate level courses during his Ph.D. Ravi holds a Ph.D. in Applied Statistics from The Ohio State University.