Scalable rendering on PC clusters

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Description

This case study presents initial results from research targeted at the development of cost-effective scalable visualization and rendering technologies. The implementations of two 3D graphics libraries based on the popular sort-last and sort-middle parallel rendering techniques are discussed. An important goal of these implementations is to provide scalable rendering capability for extremely large datasets (>> 5 million polygons). Applications can use these libraries for either run-time visualization, by linking to an existing parallel simulation, or for traditional post-processing by linking to an interactive display program. The use of parallel, hardware-accelerated rendering on commodity hardware is leveraged to achieve high performance. ... continued below

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4 p.

Creation Information

WYLIE,BRIAN N.; LEWIS,VASILY; SHIRLEY,DAVID NOYES & PAVLAKOS,CONSTANTINE April 25, 2000.

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  • Sandia National Laboratories
    Publisher Info: Sandia National Labs., Albuquerque, NM, and Livermore, CA (United States)
    Place of Publication: Albuquerque, New Mexico

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Description

This case study presents initial results from research targeted at the development of cost-effective scalable visualization and rendering technologies. The implementations of two 3D graphics libraries based on the popular sort-last and sort-middle parallel rendering techniques are discussed. An important goal of these implementations is to provide scalable rendering capability for extremely large datasets (>> 5 million polygons). Applications can use these libraries for either run-time visualization, by linking to an existing parallel simulation, or for traditional post-processing by linking to an interactive display program. The use of parallel, hardware-accelerated rendering on commodity hardware is leveraged to achieve high performance. Current performance results show that, using current hardware (a small 16-node cluster), they can utilize up to 85% of the aggregate graphics performance and achieve rendering rates in excess of 20 million polygons/second using OpenGL{reg_sign} with lighting, Gouraud shading, and individually specified triangles (not t-stripped).

Physical Description

4 p.

Notes

OSTI as DE00756090

Medium: P; Size: 4 pages

Source

  • IEEE Visualization 2000, Salt Lake City, UT (US), 10/08/2000--10/13/2000

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  • Report No.: SAND2000-1064C
  • Grant Number: AC04-94AL85000
  • Office of Scientific & Technical Information Report Number: 756090
  • Archival Resource Key: ark:/67531/metadc712552

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  • April 25, 2000

Added to The UNT Digital Library

  • Sept. 12, 2015, 6:31 a.m.

Description Last Updated

  • April 10, 2017, 8:09 p.m.

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WYLIE,BRIAN N.; LEWIS,VASILY; SHIRLEY,DAVID NOYES & PAVLAKOS,CONSTANTINE. Scalable rendering on PC clusters, article, April 25, 2000; Albuquerque, New Mexico. (digital.library.unt.edu/ark:/67531/metadc712552/: accessed July 21, 2018), University of North Texas Libraries, Digital Library, digital.library.unt.edu; crediting UNT Libraries Government Documents Department.