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Cray Urika-GD

From Wikipedia, the free encyclopedia

The Cray Urika-GD is a graph discovery appliance is a computer application that finds and analyzes relationships and patterns in the data collected by a supercomputer.

The Cray Urika-GD produces meaningful graphs based on large amounts of data, often from multiple sources, and to make useful connections among those data.[1] Many organizations now have vast stores of information like this—called "big data"—that they can analyze and use to improve their operations, products or services.

One example of the appliance in use would be a healthcare organization that helps to find, among its 13 million patient records, information that doctors could use to develop treatment plans.[2] Graphing the records of existing patients by categories such as illness, age, treatment and outcome may provide guidance on treating another patient.

“Big data” is also being tapped in professional sports.[3] In 2014, Cray revealed that a Major League Baseball team was using a Urika-GD appliance to graph and analyze its own performance statistics.[4]

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Transcription

References

  1. ^ Raj, Pethuru; Raman, Anupama; Nagaraj, Dhivya; Duggirala, Siddhartha (2015-10-16). High-Performance Big-Data Analytics: Computing Systems and Approaches. Springer. ISBN 978-3-319-20744-5.
  2. ^ "Patient Treatments" (PDF). Cray.com. Archived from the original (PDF) on 2015-09-23. Retrieved 2015-07-24.
  3. ^ Roger Craig (2014-07-18). "Commentary: Big data and the future of sports". Usatoday.com. Retrieved 2015-07-24.
  4. ^ "Supercomputers: Game on". The Economist. 2014-03-10. Retrieved 2015-07-24.

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This page was last edited on 23 March 2024, at 16:43
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