High performance deformable image registration algorithms for manycore processors

High Performance Deformable Image Registration Algorithms for Manycore Processors develops highly data-parallel image registration algorithms suitable for use on modern multi-core architectures, including graphics processing units (GPUs). Focusing on deformable registration, we show how to develop...

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Detalles Bibliográficos
Autores principales: Shackleford, James, Kandasamy, Nagarajan, Sharp, Gregory
Lenguaje:eng
Publicado: Elsevier 2013
Materias:
Computing and Computers
Acceso en línea:http://cds.cern.ch/record/1606256
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author Shackleford, James
Kandasamy, Nagarajan
Sharp, Gregory
author_facet Shackleford, James
Kandasamy, Nagarajan
Sharp, Gregory
author_sort Shackleford, James
collection CERN
description High Performance Deformable Image Registration Algorithms for Manycore Processors develops highly data-parallel image registration algorithms suitable for use on modern multi-core architectures, including graphics processing units (GPUs). Focusing on deformable registration, we show how to develop data-parallel versions of the registration algorithm suitable for execution on the GPU. Image registration is the process of aligning two or more images into a common coordinate frame and is a fundamental step to be able to compare or fuse data obtained from different sensor measurements. E
id cern-1606256
institution Organización Europea para la Investigación Nuclear
language eng
publishDate 2013
publisher Elsevier
record_format invenio
spelling cern-16062562021-04-21T22:24:14Zhttp://cds.cern.ch/record/1606256engShackleford, JamesKandasamy, NagarajanSharp, GregoryHigh performance deformable image registration algorithms for manycore processorsComputing and Computers High Performance Deformable Image Registration Algorithms for Manycore Processors develops highly data-parallel image registration algorithms suitable for use on modern multi-core architectures, including graphics processing units (GPUs). Focusing on deformable registration, we show how to develop data-parallel versions of the registration algorithm suitable for execution on the GPU. Image registration is the process of aligning two or more images into a common coordinate frame and is a fundamental step to be able to compare or fuse data obtained from different sensor measurements. EElsevieroai:cds.cern.ch:16062562013
spellingShingle Computing and Computers
Shackleford, James
Kandasamy, Nagarajan
Sharp, Gregory
High performance deformable image registration algorithms for manycore processors
title High performance deformable image registration algorithms for manycore processors
title_full High performance deformable image registration algorithms for manycore processors
title_fullStr High performance deformable image registration algorithms for manycore processors
title_full_unstemmed High performance deformable image registration algorithms for manycore processors
title_short High performance deformable image registration algorithms for manycore processors
title_sort high performance deformable image registration algorithms for manycore processors
topic Computing and Computers
url http://cds.cern.ch/record/1606256
work_keys_str_mv AT shacklefordjames highperformancedeformableimageregistrationalgorithmsformanycoreprocessors
AT kandasamynagarajan highperformancedeformableimageregistrationalgorithmsformanycoreprocessors
AT sharpgregory highperformancedeformableimageregistrationalgorithmsformanycoreprocessors

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