MPI-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 ... continued below

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Howison, Mark; Bethel, E. Wes & Childs, Hank March 20, 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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  • Eurographics 2010 Symposium on Parallel Graphics and Visualization, Norrkoeping, Sweden, May 2-3, 2010

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  • Report No.: LBNL-3297E
  • Grant Number: DE-AC02-05CH11231
  • Office of Scientific & Technical Information Report Number: 983174
  • Archival Resource Key: ark:/67531/metadc1012539

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  • March 20, 2010

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  • Oct. 14, 2017, 8:36 a.m.

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  • Oct. 17, 2017, 6:22 p.m.

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Howison, Mark; Bethel, E. Wes & Childs, Hank. MPI-hybrid Parallelism for Volume Rendering on Large, Multi-core Systems, article, March 20, 2010; Berkeley, California. (digital.library.unt.edu/ark:/67531/metadc1012539/: accessed July 15, 2018), University of North Texas Libraries, Digital Library, digital.library.unt.edu; crediting UNT Libraries Government Documents Department.