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10.1109/ASAP.2011.6043263guideproceedingsArticle/Chapter ViewAbstractPublication PagesConference Proceedingsacm-pubtype
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Accelerating the photon mapping algorithm and its hardware implementation

Published: 11 September 2011 Publication History

Abstract

Photon mapping is a popular technique for high-quality image rendering. Compared to other global illumination techniques, it has promising potential to be accelerated towards real-time. In this paper we study the possibility of using application-specific accelerators for two key operations used in photon mapping: a tree search operation and a shader operation. The accelerators are implemented with online arithmetic to maximize throughput, while still providing practical power and area costs. Results indicate that the accelerators can provide significantly better power consumption versus a parallel implementation, and the overall throughput can be 100 faster than a software-only single-threaded implementation before becoming limited by bandwidth.

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  • (2013)An FPGA acceleration for the kd-tree search in photon mappingProceedings of the 9th international conference on Reconfigurable Computing: architectures, tools, and applications10.1007/978-3-642-36812-7_3(25-36)Online publication date: 25-Mar-2013

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cover image Guide Proceedings
ASAP '11: Proceedings of the ASAP 2011 - 22nd IEEE International Conference on Application-specific Systems, Architectures and Processors
September 2011
237 pages
ISBN:9781457712913

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IEEE Computer Society

United States

Publication History

Published: 11 September 2011

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  1. application specific accelerators
  2. global illumination techniques
  3. hardware implementation
  4. high quality image rendering
  5. parallel implementation
  6. photon mapping algorithm
  7. shader operation
  8. software only single threaded implementation
  9. tree search operation

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Cited By

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  • (2013)An FPGA acceleration for the kd-tree search in photon mappingProceedings of the 9th international conference on Reconfigurable Computing: architectures, tools, and applications10.1007/978-3-642-36812-7_3(25-36)Online publication date: 25-Mar-2013

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