Evaluation of High-Level Programming Models for High-Performance Critical Systems

Upcoming safety critical systems require high performance processing, which can be provided by multi-cores and embedded GPUs found in several Systems-on-chip (SoC) targeting these domains. So far, only low-level programming models and APIs, such as CUDA or OpenCL have been evaluated. In this Master...

Descripción completa

Detalles Bibliográficos
Autor: Peralta Quesada, Cristina
Tipo de recurso: tesis de maestría
Fecha de publicación:2022
País:España
Institución:Universitat Politècnica de Catalunya (UPC)
Repositorio:UPCommons. Portal del coneixement obert de la UPC
Idioma:inglés
OAI Identifier:oai:upcommons.upc.edu:2117/380697
Acceso en línea:https://hdl.handle.net/2117/380697
Access Level:acceso abierto
Palabra clave:Computer security
Seguretat informàtica
Àrees temàtiques de la UPC::Informàtica::Seguretat informàtica
id ES_6bb8adf5086bcd331ee49382ff41e3cd
oai_identifier_str oai:upcommons.upc.edu:2117/380697
network_acronym_str ES
network_name_str España
repository_id_str
spelling Evaluation of High-Level Programming Models for High-Performance Critical SystemsPeralta Quesada, CristinaComputer securitySeguretat informàticaÀrees temàtiques de la UPC::Informàtica::Seguretat informàticaUpcoming safety critical systems require high performance processing, which can be provided by multi-cores and embedded GPUs found in several Systems-on-chip (SoC) targeting these domains. So far, only low-level programming models and APIs, such as CUDA or OpenCL have been evaluated. In this Master thesis, we evaluate the effectiveness of higher level programming models, such as OpenACC and SYCL for critical applications executed in such embedded platforms. In particular, we are interested in two aspects: performance and programmability. In order to conduct our study, we use the GPU4S Bench benchmarking suite for space and a pedestrian detection application representing the automotive sector, which we port into the new programming models and analyze their behavior. We perform our evaluation on a representative embedded platform, the NVIDIA Xavier AGX which is considered a good candidate for future safety critical systems in both domains and compare our results with other programming models.Universitat Politècnica de CatalunyaKosmidis, Leonidas20222022-10-1920232023-01-18master thesishttp://purl.org/coar/resource_type/c_bdccNAhttp://purl.org/coar/version/c_be7fb7dd8ff6fe43info:eu-repo/semantics/masterThesisapplication/pdfhttps://hdl.handle.net/2117/380697reponame:UPCommons. Portal del coneixement obert de la UPCinstname:Universitat Politècnica de Catalunya (UPC)Inglésengopen accesshttp://purl.org/coar/access_right/c_abf2info:eu-repo/semantics/openAccessoai:upcommons.upc.edu:2117/3806972026-05-27T15:37:01Z
dc.title.none.fl_str_mv Evaluation of High-Level Programming Models for High-Performance Critical Systems
title Evaluation of High-Level Programming Models for High-Performance Critical Systems
spellingShingle Evaluation of High-Level Programming Models for High-Performance Critical Systems
Peralta Quesada, Cristina
Computer security
Seguretat informàtica
Àrees temàtiques de la UPC::Informàtica::Seguretat informàtica
title_short Evaluation of High-Level Programming Models for High-Performance Critical Systems
title_full Evaluation of High-Level Programming Models for High-Performance Critical Systems
title_fullStr Evaluation of High-Level Programming Models for High-Performance Critical Systems
title_full_unstemmed Evaluation of High-Level Programming Models for High-Performance Critical Systems
title_sort Evaluation of High-Level Programming Models for High-Performance Critical Systems
dc.creator.none.fl_str_mv Peralta Quesada, Cristina
author Peralta Quesada, Cristina
author_facet Peralta Quesada, Cristina
author_role author
dc.contributor.none.fl_str_mv Kosmidis, Leonidas
dc.subject.none.fl_str_mv Computer security
Seguretat informàtica
Àrees temàtiques de la UPC::Informàtica::Seguretat informàtica
topic Computer security
Seguretat informàtica
Àrees temàtiques de la UPC::Informàtica::Seguretat informàtica
description Upcoming safety critical systems require high performance processing, which can be provided by multi-cores and embedded GPUs found in several Systems-on-chip (SoC) targeting these domains. So far, only low-level programming models and APIs, such as CUDA or OpenCL have been evaluated. In this Master thesis, we evaluate the effectiveness of higher level programming models, such as OpenACC and SYCL for critical applications executed in such embedded platforms. In particular, we are interested in two aspects: performance and programmability. In order to conduct our study, we use the GPU4S Bench benchmarking suite for space and a pedestrian detection application representing the automotive sector, which we port into the new programming models and analyze their behavior. We perform our evaluation on a representative embedded platform, the NVIDIA Xavier AGX which is considered a good candidate for future safety critical systems in both domains and compare our results with other programming models.
publishDate 2022
dc.date.none.fl_str_mv 2022
2022-10-19
2023
2023-01-18
dc.type.none.fl_str_mv master thesis
http://purl.org/coar/resource_type/c_bdcc
NA
http://purl.org/coar/version/c_be7fb7dd8ff6fe43
dc.type.openaire.fl_str_mv info:eu-repo/semantics/masterThesis
format masterThesis
dc.identifier.none.fl_str_mv https://hdl.handle.net/2117/380697
url https://hdl.handle.net/2117/380697
dc.language.none.fl_str_mv Inglés
eng
language_invalid_str_mv Inglés
language eng
dc.rights.none.fl_str_mv open access
http://purl.org/coar/access_right/c_abf2
dc.rights.openaire.fl_str_mv info:eu-repo/semantics/openAccess
rights_invalid_str_mv open access
http://purl.org/coar/access_right/c_abf2
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv Universitat Politècnica de Catalunya
publisher.none.fl_str_mv Universitat Politècnica de Catalunya
dc.source.none.fl_str_mv reponame:UPCommons. Portal del coneixement obert de la UPC
instname:Universitat Politècnica de Catalunya (UPC)
instname_str Universitat Politècnica de Catalunya (UPC)
reponame_str UPCommons. Portal del coneixement obert de la UPC
collection UPCommons. Portal del coneixement obert de la UPC
repository.name.fl_str_mv
repository.mail.fl_str_mv
_version_ 1869410216991260672
score 15.300719

Similares en LA Referencia