Cannabaceae

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 generates graphs based on large amounts of data, often from multiple sources, and makes 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] By categorizing records based on illness, age, treatment, and outcome, the appliance can provide insights for treating other patients.

“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]

References

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  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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One thought on “Cannabaceae

  1. Well, that’s interesting to know that Psilotum nudum are known as whisk ferns. Psilotum nudum is the commoner species of the two. While the P. flaccidum is a rare species and is found in the tropical islands. Both the species are usually epiphytic in habit and grow upon tree ferns. These species may also be terrestrial and grow in humus or in the crevices of the rocks.
    View the detailed Guide of Psilotum nudum: Detailed Study Of Psilotum Nudum (Whisk Fern), Classification, Anatomy, Reproduction

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