Hybrid Parallelism for Volume Rendering on Large, Multi-core Systems

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This work studies the performance and scalability characteristics of"hybrid'"parallel programming and execution as applied to raycasting volume rendering -- a staple visualization algorithm -- on a large, multi-core platform. Historically, the Message Passing Interface (MPI) has become the de-facto standard for parallel programming and execution on modern parallel systems. As the computing industry trends towards multi-core processors, with four- and six-core chips common today and 128-core chips coming soon, we wish to better understand how algorithmic and parallel programming choices impact performance and scalability on large, distributed-memory multi-core systems. Our findings indicate that the hybrid-parallel implementation, at levels of concurrency ... continued below

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Howison, Mark; Bethel, E. Wes & Childs, Hank July 12, 2010.

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This work studies the performance and scalability characteristics of"hybrid'"parallel programming and execution as applied to raycasting volume rendering -- a staple visualization algorithm -- on a large, multi-core platform. Historically, the Message Passing Interface (MPI) has become the de-facto standard for parallel programming and execution on modern parallel systems. As the computing industry trends towards multi-core processors, with four- and six-core chips common today and 128-core chips coming soon, we wish to better understand how algorithmic and parallel programming choices impact performance and scalability on large, distributed-memory multi-core systems. Our findings indicate that the hybrid-parallel implementation, at levels of concurrency ranging from 1,728 to 216,000, performs better, uses a smaller absolute memory footprint, and consumes less communication bandwidth than the traditional, MPI-only implementation.

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  • Journal Name: Journal of Physics: Conference Series

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  • Report No.: LBNL-4024E
  • Grant Number: DE-AC02-05CH11231
  • Office of Scientific & Technical Information Report Number: 994006
  • Archival Resource Key: ark:/67531/metadc1014417

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Office of Scientific & Technical Information Technical Reports

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  • July 12, 2010

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  • Oct. 14, 2017, 8:36 a.m.

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  • Oct. 17, 2017, 6:19 p.m.

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Howison, Mark; Bethel, E. Wes & Childs, Hank. Hybrid Parallelism for Volume Rendering on Large, Multi-core Systems, article, July 12, 2010; Berkeley, California. (digital.library.unt.edu/ark:/67531/metadc1014417/: accessed December 17, 2017), University of North Texas Libraries, Digital Library, digital.library.unt.edu; crediting UNT Libraries Government Documents Department.