HORT: Hadoop online ray tracing with mapreduce

  • Authors:
  • Lesley Northam;Rob Smits

  • Affiliations:
  • University of Waterloo;University of Waterloo

  • Venue:
  • ACM SIGGRAPH 2011 Posters
  • Year:
  • 2011

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Abstract

High quality computer-generated imagery (CGI) rendering is a demanding computational task [Hearn and Baker 1997]. To generate high-quality CGI, film studios rely on expensive, specialized, rendering clusters (render farms) [Rath 2009]. Render farms cost a premium over more general infrastructure such as infrastructure as a service (IaaS) offerings. Furthermore, render farms often provide limited selection of commercial rendering applications and have significant overhead with respect to requesting a job. This contrasts general IaaS offerings such as Amazon's Elastic Compute Cloud (EC2), which allows for straight-forward, automated provisioning of many virtualized machine instances.