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Visualization, Light Transport, and Big Data

<!--HTML--><p align="justify"> Scientific data treated by current peta-scale computers and coming exa-scale computers is quite huge and it is known as &quot;Big Data&quot;. For a better understanding and analysis of this massive amount of information, visualization is...

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Detalles Bibliográficos
Autor principal: Fujita, Syoyo
Lenguaje:eng
Publicado: 2014
Materias:
Acceso en línea:http://cds.cern.ch/record/1714151
Descripción
Sumario:<!--HTML--><p align="justify"> Scientific data treated by current peta-scale computers and coming exa-scale computers is quite huge and it is known as &quot;Big Data&quot;. For a better understanding and analysis of this massive amount of information, visualization is an important task. Large scale, efficient, and visually compelling visualization has many challenges.</p> <p align="justify"> In this talk, I will introduce the most promising visualization technique for big data. Namely, ray tracing method from Light Transport theory and image composition. I will also show some recent large scale visualization results using this technique on the <a href="http://www.fujitsu.com/global/about/businesspolicy/tech/k/" target="_blank">K computer</a>, a 10 peta-flops supercomputer with up to 65,536 computing nodes.</p> <h4> About the speaker</h4> <p align="justify"> Please find the speaker&#39;s LinkedIn profile <a href="http://www.linkedin.com/in/syoyo" target="_blank">here</a>.</p>