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
Commitment to Open Source
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.
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.
Building a distributed cache system with redis, clojure and math
Learn how consistent hashing, CRDTs and Clojure protocols can be used to build a distributed cache.
This talk will highlight different things that went into building bunshin (a Distributed Cache system) built on top of Redis.
Consistent hashing: This let’s the system distribute load across multiple nodes. Also it reduces remapping load when number of nodes change in cluster.
CRDTs: Conflict-free replicated data types help you accept divergence in Distributed systems. CRDTs are designed such that conflicts are mathematically impossible
Clojure protocols: Protocols provide powerful mechanism for abstraction. This gives flexibility of changing implementations for future improvements like using a different datastore.
Generative Testing: Finding and documenting edge cases in Distributed systems is hard. Also benchmarking things can be tedious. With generative testing and protocols we will see how can solve these problems.
Kapil Reddy is a Platform and Feature Lead at Helpshift, and is a core developer on many of the scalability projects at Helpshift. He has designed and open sourced Bunshin, which is used to implement a large distributed caching layer capable of serving over 35K requests per second. He believes that skynet is already sentient.