The Fifth Elephant 2015
A conference on data, machine learning, and distributed and parallel computing
VS
Viral B. Shah
@viralbshah
The many ways of parallel computing with Julia
Submitted Jun 14, 2015
Section:
Full Talk
Technical level:
Beginner
Introduce Julia for those who haven’t heard about it, and focus on parallel computing with Julia. I will try to do some fun stuff with a 1000 processors in a demo.
Outline
This talk will provide an overview of parallel computing in Julia. It will start with an introduction to using built-in Julia primitives for parallel processing, such as pmap, @parallel, remotecall, spawn, fetch, etc. Based on this low-level primitives, shared arrays and distributed arrays have been built. We will try some Parallel Linear Algebra using packages such as ScaLapack along with some MPI programming. We will also look at the possibilities of data processing with data loaded from the Hadoop file system (HDFS) and/or S3. We will also preview the upcoming multi-threading capabilities in Julia.
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