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Season 3, Episode 1 -- Joe Insley: Big Data to Beautiful Images

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Manage episode 361717786 series 2954335
Content provided by Sarah Webb and Krell Institute. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Sarah Webb and Krell Institute or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://player.fm/legal.

Making sense of computational science takes a multidisciplinary team, including science visualization experts who translate data into images that both parse information so that it’s comprehensible and render it into beautiful images and skillful animations. Joe Insley of Argonne Leadership Computing Facility and Northern Illinois University has been doing this work for more than 20 years, leveraging deep training in both digital art and computer science to build showstopping visualizations.

We talked about his training, how he approaches this work and how in situ visualization—techniques that allow computational researchers to sift through data as it’s processed—is changing with ever larger supercomputers.

  continue reading

22 episodes

Artwork
iconShare
 
Manage episode 361717786 series 2954335
Content provided by Sarah Webb and Krell Institute. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Sarah Webb and Krell Institute or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://player.fm/legal.

Making sense of computational science takes a multidisciplinary team, including science visualization experts who translate data into images that both parse information so that it’s comprehensible and render it into beautiful images and skillful animations. Joe Insley of Argonne Leadership Computing Facility and Northern Illinois University has been doing this work for more than 20 years, leveraging deep training in both digital art and computer science to build showstopping visualizations.

We talked about his training, how he approaches this work and how in situ visualization—techniques that allow computational researchers to sift through data as it’s processed—is changing with ever larger supercomputers.

  continue reading

22 episodes

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