Estimation of volume rendering efficiency with GPU in a parallel distributed environment

Autores
Perez Monte, Cristian Federico; Picolli, Fabiana; Luciano, Cristian; Rizzi, Silvio; Bianchini, German; Caymes Scutari, Paola Guadalupe
Año de publicación
2013
Idioma
inglés
Tipo de recurso
artículo
Estado
versión publicada
Descripción
Visualization methods of medical imagery based on volumetric data constitute a fundamental tool for medical diagnosis, training and pre-surgical planning. Often, large volume sizes and/or the complexity of the required computations present serious obstacles for reaching higher levels of realism and real-time performance. Performance and efficiency are two critical aspects in traditional algorithms based on complex lighting models. To overcome these problems, a volume rendering algorithm, PD-Render intra for individual networked nodes in a parallel distributed architecture with a single GPU per node is presented in this paper. The implemented algorithm is able to achieve photorealistic rendering as well as a high signal-tonoise ratio at interactive frame rates. Experiments show excellent results in terms of efficiency and performance for rendering medical volumes in real time.
Fil: Perez Monte, Cristian Federico. Universidad Tecnológica Nacional. Facultad Regional Mendoza. Departamento de Electrónica. Grupo de Investigación Gridtics; Argentina. Universidad Tecnológica Nacional. Facultad Regional Mendoza. Departamento de Sistemas de Información. Laboratorio de Investigación en Cómputo Paralelo/Distribuido; Argentina. Universidad Nacional de San Luis. Facultad de Ciencias Físico Matemáticas y Naturales. Departamento de Informática. Laboratorio Investigación y Desarrollo en Inteligencia Computacional; Argentina
Fil: Picolli, Fabiana. Universidad Nacional de San Luis. Facultad de Ciencias Físico Matemáticas y Naturales. Departamento de Informática. Laboratorio Investigación y Desarrollo en Inteligencia Computacional; Argentina
Fil: Luciano, Cristian. University of Illinois at Chicago. Department of Mechanical and Industrial Engineering; Estados Unidos
Fil: Rizzi, Silvio. University of Illinois at Chicago. Department of Mechanical and Industrial Engineering; Estados Unidos
Fil: Bianchini, German. Universidad Tecnológica Nacional. Facultad Regional Mendoza. Departamento de Sistemas de Información. Laboratorio de Investigación en Cómputo Paralelo/Distribuido; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Mendoza; Argentina
Fil: Caymes Scutari, Paola Guadalupe. Universidad Tecnológica Nacional. Facultad Regional Mendoza. Departamento de Sistemas de Información. Laboratorio de Investigación en Cómputo Paralelo/Distribuido; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Mendoza; Argentina
Materia
CLUSTER COMPUTING
EFFICIENCY
GPU
MONTE CARLO METHOD
PARALLEL PROCESSING
RAY TRACING
SCIENTIFIC VISUALIZATION
VOLUME RENDERING
Nivel de accesibilidad
acceso abierto
Condiciones de uso
https://creativecommons.org/licenses/by-nc-nd/2.5/ar/
Repositorio
CONICET Digital (CONICET)
Institución
Consejo Nacional de Investigaciones Científicas y Técnicas
OAI Identificador
oai:ri.conicet.gov.ar:11336/3593
Acceder
id CONICETDig_c6e3bec96324b14b313534403bdf8f86
oai_identifier_str oai:ri.conicet.gov.ar:11336/3593
network_acronym_str CONICETDig
repository_id_str 3498
network_name_str CONICET Digital (CONICET)
spelling Estimation of volume rendering efficiency with GPU in a parallel distributed environmentPerez Monte, Cristian FedericoPicolli, FabianaLuciano, CristianRizzi, SilvioBianchini, GermanCaymes Scutari, Paola GuadalupeCLUSTER COMPUTINGEFFICIENCYGPUMONTE CARLO METHODPARALLEL PROCESSINGRAY TRACINGSCIENTIFIC VISUALIZATIONVOLUME RENDERINGhttps://purl.org/becyt/ford/1.2https://purl.org/becyt/ford/1Visualization methods of medical imagery based on volumetric data constitute a fundamental tool for medical diagnosis, training and pre-surgical planning. Often, large volume sizes and/or the complexity of the required computations present serious obstacles for reaching higher levels of realism and real-time performance. Performance and efficiency are two critical aspects in traditional algorithms based on complex lighting models. To overcome these problems, a volume rendering algorithm, PD-Render intra for individual networked nodes in a parallel distributed architecture with a single GPU per node is presented in this paper. The implemented algorithm is able to achieve photorealistic rendering as well as a high signal-tonoise ratio at interactive frame rates. Experiments show excellent results in terms of efficiency and performance for rendering medical volumes in real time.Fil: Perez Monte, Cristian Federico. Universidad Tecnológica Nacional. Facultad Regional Mendoza. Departamento de Electrónica. Grupo de Investigación Gridtics; Argentina. Universidad Tecnológica Nacional. Facultad Regional Mendoza. Departamento de Sistemas de Información. Laboratorio de Investigación en Cómputo Paralelo/Distribuido; Argentina. Universidad Nacional de San Luis. Facultad de Ciencias Físico Matemáticas y Naturales. Departamento de Informática. Laboratorio Investigación y Desarrollo en Inteligencia Computacional; ArgentinaFil: Picolli, Fabiana. Universidad Nacional de San Luis. Facultad de Ciencias Físico Matemáticas y Naturales. Departamento de Informática. Laboratorio Investigación y Desarrollo en Inteligencia Computacional; ArgentinaFil: Luciano, Cristian. University of Illinois at Chicago. Department of Mechanical and Industrial Engineering; Estados UnidosFil: Rizzi, Silvio. University of Illinois at Chicago. Department of Mechanical and Industrial Engineering; Estados UnidosFil: Bianchini, German. Universidad Tecnológica Nacional. Facultad Regional Mendoza. Departamento de Sistemas de Información. Laboratorio de Investigación en Cómputo Paralelo/Distribuido; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Mendoza; ArgentinaFil: Caymes Scutari, Paola Guadalupe. Universidad Tecnológica Nacional. Facultad Regional Mendoza. Departamento de Sistemas de Información. Laboratorio de Investigación en Cómputo Paralelo/Distribuido; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Mendoza; ArgentinaElsevier2013-06info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfapplication/pdfhttp://hdl.handle.net/11336/3593Perez Monte, Cristian Federico; Picolli, Fabiana; Luciano, Cristian; Rizzi, Silvio; Bianchini, German; et al.; Estimation of volume rendering efficiency with GPU in a parallel distributed environment; Elsevier; Procedia Computer Science; 18; 6-2013; 1402-14111877-0509eng2013 International Conference on Computational Scienceinfo:eu-repo/semantics/altIdentifier/url/http://www.sciencedirect.com/science/article/pii/S187705091300450Xinfo:eu-repo/semantics/altIdentifier/doi/10.1016/j.procs.2013.05.307info:eu-repo/semantics/altIdentifier/issn/1877-0509info:eu-repo/semantics/openAccesshttps://creativecommons.org/licenses/by-nc-nd/2.5/ar/reponame:CONICET Digital (CONICET)instname:Consejo Nacional de Investigaciones Científicas y Técnicas2025-09-29T09:39:39Zoai:ri.conicet.gov.ar:11336/3593instacron:CONICETInstitucionalhttp://ri.conicet.gov.ar/Organismo científico-tecnológicoNo correspondehttp://ri.conicet.gov.ar/oai/requestdasensio@conicet.gov.ar; lcarlino@conicet.gov.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:34982025-09-29 09:39:39.598CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicasfalse
dc.title.none.fl_str_mv Estimation of volume rendering efficiency with GPU in a parallel distributed environment
title Estimation of volume rendering efficiency with GPU in a parallel distributed environment
spellingShingle Estimation of volume rendering efficiency with GPU in a parallel distributed environment
Perez Monte, Cristian Federico
CLUSTER COMPUTING
EFFICIENCY
GPU
MONTE CARLO METHOD
PARALLEL PROCESSING
RAY TRACING
SCIENTIFIC VISUALIZATION
VOLUME RENDERING
title_short Estimation of volume rendering efficiency with GPU in a parallel distributed environment
title_full Estimation of volume rendering efficiency with GPU in a parallel distributed environment
title_fullStr Estimation of volume rendering efficiency with GPU in a parallel distributed environment
title_full_unstemmed Estimation of volume rendering efficiency with GPU in a parallel distributed environment
title_sort Estimation of volume rendering efficiency with GPU in a parallel distributed environment
dc.creator.none.fl_str_mv Perez Monte, Cristian Federico
Picolli, Fabiana
Luciano, Cristian
Rizzi, Silvio
Bianchini, German
Caymes Scutari, Paola Guadalupe
author Perez Monte, Cristian Federico
author_facet Perez Monte, Cristian Federico
Picolli, Fabiana
Luciano, Cristian
Rizzi, Silvio
Bianchini, German
Caymes Scutari, Paola Guadalupe
author_role author
author2 Picolli, Fabiana
Luciano, Cristian
Rizzi, Silvio
Bianchini, German
Caymes Scutari, Paola Guadalupe
author2_role author
author
author
author
author
dc.subject.none.fl_str_mv CLUSTER COMPUTING
EFFICIENCY
GPU
MONTE CARLO METHOD
PARALLEL PROCESSING
RAY TRACING
SCIENTIFIC VISUALIZATION
VOLUME RENDERING
topic CLUSTER COMPUTING
EFFICIENCY
GPU
MONTE CARLO METHOD
PARALLEL PROCESSING
RAY TRACING
SCIENTIFIC VISUALIZATION
VOLUME RENDERING
purl_subject.fl_str_mv https://purl.org/becyt/ford/1.2
https://purl.org/becyt/ford/1
dc.description.none.fl_txt_mv Visualization methods of medical imagery based on volumetric data constitute a fundamental tool for medical diagnosis, training and pre-surgical planning. Often, large volume sizes and/or the complexity of the required computations present serious obstacles for reaching higher levels of realism and real-time performance. Performance and efficiency are two critical aspects in traditional algorithms based on complex lighting models. To overcome these problems, a volume rendering algorithm, PD-Render intra for individual networked nodes in a parallel distributed architecture with a single GPU per node is presented in this paper. The implemented algorithm is able to achieve photorealistic rendering as well as a high signal-tonoise ratio at interactive frame rates. Experiments show excellent results in terms of efficiency and performance for rendering medical volumes in real time.
Fil: Perez Monte, Cristian Federico. Universidad Tecnológica Nacional. Facultad Regional Mendoza. Departamento de Electrónica. Grupo de Investigación Gridtics; Argentina. Universidad Tecnológica Nacional. Facultad Regional Mendoza. Departamento de Sistemas de Información. Laboratorio de Investigación en Cómputo Paralelo/Distribuido; Argentina. Universidad Nacional de San Luis. Facultad de Ciencias Físico Matemáticas y Naturales. Departamento de Informática. Laboratorio Investigación y Desarrollo en Inteligencia Computacional; Argentina
Fil: Picolli, Fabiana. Universidad Nacional de San Luis. Facultad de Ciencias Físico Matemáticas y Naturales. Departamento de Informática. Laboratorio Investigación y Desarrollo en Inteligencia Computacional; Argentina
Fil: Luciano, Cristian. University of Illinois at Chicago. Department of Mechanical and Industrial Engineering; Estados Unidos
Fil: Rizzi, Silvio. University of Illinois at Chicago. Department of Mechanical and Industrial Engineering; Estados Unidos
Fil: Bianchini, German. Universidad Tecnológica Nacional. Facultad Regional Mendoza. Departamento de Sistemas de Información. Laboratorio de Investigación en Cómputo Paralelo/Distribuido; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Mendoza; Argentina
Fil: Caymes Scutari, Paola Guadalupe. Universidad Tecnológica Nacional. Facultad Regional Mendoza. Departamento de Sistemas de Información. Laboratorio de Investigación en Cómputo Paralelo/Distribuido; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Mendoza; Argentina
description Visualization methods of medical imagery based on volumetric data constitute a fundamental tool for medical diagnosis, training and pre-surgical planning. Often, large volume sizes and/or the complexity of the required computations present serious obstacles for reaching higher levels of realism and real-time performance. Performance and efficiency are two critical aspects in traditional algorithms based on complex lighting models. To overcome these problems, a volume rendering algorithm, PD-Render intra for individual networked nodes in a parallel distributed architecture with a single GPU per node is presented in this paper. The implemented algorithm is able to achieve photorealistic rendering as well as a high signal-tonoise ratio at interactive frame rates. Experiments show excellent results in terms of efficiency and performance for rendering medical volumes in real time.
publishDate 2013
dc.date.none.fl_str_mv 2013-06
dc.type.none.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
http://purl.org/coar/resource_type/c_6501
info:ar-repo/semantics/articulo
format article
status_str publishedVersion
dc.identifier.none.fl_str_mv http://hdl.handle.net/11336/3593
Perez Monte, Cristian Federico; Picolli, Fabiana; Luciano, Cristian; Rizzi, Silvio; Bianchini, German; et al.; Estimation of volume rendering efficiency with GPU in a parallel distributed environment; Elsevier; Procedia Computer Science; 18; 6-2013; 1402-1411
1877-0509
url http://hdl.handle.net/11336/3593
identifier_str_mv Perez Monte, Cristian Federico; Picolli, Fabiana; Luciano, Cristian; Rizzi, Silvio; Bianchini, German; et al.; Estimation of volume rendering efficiency with GPU in a parallel distributed environment; Elsevier; Procedia Computer Science; 18; 6-2013; 1402-1411
1877-0509
dc.language.none.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv 2013 International Conference on Computational Science
info:eu-repo/semantics/altIdentifier/url/http://www.sciencedirect.com/science/article/pii/S187705091300450X
info:eu-repo/semantics/altIdentifier/doi/10.1016/j.procs.2013.05.307
info:eu-repo/semantics/altIdentifier/issn/1877-0509
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
https://creativecommons.org/licenses/by-nc-nd/2.5/ar/
eu_rights_str_mv openAccess
rights_invalid_str_mv https://creativecommons.org/licenses/by-nc-nd/2.5/ar/
dc.format.none.fl_str_mv application/pdf
application/pdf
dc.publisher.none.fl_str_mv Elsevier
publisher.none.fl_str_mv Elsevier
dc.source.none.fl_str_mv reponame:CONICET Digital (CONICET)
instname:Consejo Nacional de Investigaciones Científicas y Técnicas
reponame_str CONICET Digital (CONICET)
collection CONICET Digital (CONICET)
instname_str Consejo Nacional de Investigaciones Científicas y Técnicas
repository.name.fl_str_mv CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicas
repository.mail.fl_str_mv dasensio@conicet.gov.ar; lcarlino@conicet.gov.ar
_version_ 1844613255336558592
score 13.070432

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