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Superconductor: A Language for Interactive Big Data Visualizations

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(4.25, 4 ratings)

New parallel JavaScript extensions like WebCL and WebGL are close to giving designers the ability to create interactive visualizations of big data sets. However, these extensions are extremely low level, so we have been building Superconductor, a framework that automatically uses parallel JavaScript for interactive visualizations of up to one million nodes.

This talk will focus on:

  • Emerging opportunities for interactive visualizations of big data sets
  • How to create new types of visualizations with Superconductor’s high-level DSL
  • How to control new & prebuilt Superconductor visualizations with standard JavaScript
  • How Superconductor efficiently uses WebCL and WebGL
Photo of Leo Meyerovich

Leo Meyerovich


Leo Meyerovich researches system and language design at UC Berkeley and is the lead for the Superconductor big data visualization language. He specializes in parallel browsers, JavaScript security, and the social foundations of programming languages. Earlier, he was the head developer of the Flapjax language for functional reactive web programming, which led to various commercial and open source projects.


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