Exploration of Optimization Options for Increasing Performance of a GPU Implementation of a Three-dimensional Bilateral Filter

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This report explores using GPUs as a platform for performing high performance medical image data processing, specifically smoothing using a 3D bilateral filter, which performs anisotropic, edge-preserving smoothing. The algorithm consists of a running a specialized 3D convolution kernel over a source volume to produce an output volume. Overall, our objective is to understand what algorithmic design choices and configuration options lead to optimal performance of this algorithm on the GPU. We explore the performance impact of using different memory access patterns, of using different types of device/on-chip memories, of using strictly aligned and unaligned memory, and of varying the ... continued below

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Bethel, E. Wes & Bethel, E. Wes January 6, 2012.

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This report explores using GPUs as a platform for performing high performance medical image data processing, specifically smoothing using a 3D bilateral filter, which performs anisotropic, edge-preserving smoothing. The algorithm consists of a running a specialized 3D convolution kernel over a source volume to produce an output volume. Overall, our objective is to understand what algorithmic design choices and configuration options lead to optimal performance of this algorithm on the GPU. We explore the performance impact of using different memory access patterns, of using different types of device/on-chip memories, of using strictly aligned and unaligned memory, and of varying the size/shape of thread blocks. Our results reveal optimal configuration parameters for our algorithm when executed sample 3D medical data set, and show performance gains ranging from 30x to over 200x as compared to a single-threaded CPU implementation.

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  • Report No.: LBNL-5406E
  • Grant Number: DE-AC02-05CH11231
  • DOI: 10.2172/1082192 | External Link
  • Office of Scientific & Technical Information Report Number: 1082192
  • Archival Resource Key: ark:/67531/metadc828380

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Office of Scientific & Technical Information Technical Reports

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  • January 6, 2012

Added to The UNT Digital Library

  • May 19, 2016, 9:45 a.m.

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  • Nov. 7, 2016, 8:16 p.m.

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Bethel, E. Wes & Bethel, E. Wes. Exploration of Optimization Options for Increasing Performance of a GPU Implementation of a Three-dimensional Bilateral Filter, report, January 6, 2012; Berkeley, California. (digital.library.unt.edu/ark:/67531/metadc828380/: accessed June 22, 2018), University of North Texas Libraries, Digital Library, digital.library.unt.edu; crediting UNT Libraries Government Documents Department.