Porting, pro filing and optimization of an ultrasound processing algorithm using Raspberry Pi 3
Autor(a) principal: | |
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Data de Publicação: | 2022 |
Tipo de documento: | Trabalho de conclusão de curso |
Idioma: | eng |
Título da fonte: | Repositório Institucional da UFRN |
Texto Completo: | https://repositorio.ufrn.br/handle/123456789/46308 |
Resumo: | The ultrasound monitoring patch developed by Pulsify Medical is an innovative device that allows the safe monitoring of the patient's cardiac performance, wherever they go, in a flexible and mobile way. The present work, done with this company partnership aims to assist in the choice of the architecture of this patch device, and consists in the portability and parallelization of an ultrasound delay and sum (DAS) algorithm, which will later be incorporated into Raspberry, for further comparisons. For that, initially, the code was ported from Matlab to C. Then, optimizations were made to finally start the analysis and parallelizations in Raspberry using OpenMP. For the analysis, tools like gprof and gprof2dot were used. After the analysis, the parallelization of one of the most costly functions was started and clauses like collapse and schedule were used. Then, the running time, using different combinations of clauses and for loops, were collected, which were used on a scalability analysis. This analysis, however, showed that the raspberry architecture maybe wasn't the best for this kind of application. |
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Costa, Danielly Cristina de MatosSilva, Kayo Gonçalves eIchihara, Danilo Chaves de SousaSouza, Samuel Xavier de2022-02-24T17:53:23Z2022-02-24T17:53:23Z2022-02-11COSTA, Danielly Cristina de Matos. Porting, profiling and optimization of an ultrasound processing algorithm using Raspberry Pi 3. 2022. 48f. Trabalho de Conclusão de Curso (Graduação em Engenharia de Computação) - Centro de Tecnologia, Universidade Federal do Rio Grande do Norte, Natal, 2022.https://repositorio.ufrn.br/handle/123456789/46308Universidade Federal do Rio Grande do NorteEngenharia de ComputaçãoUFRNBrasilDepartamento de Engenharia de Computação e AutomaçãoRaspberryOpenMPUltrasoundGprofPorting, pro filing and optimization of an ultrasound processing algorithm using Raspberry Pi 3info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/bachelorThesisThe ultrasound monitoring patch developed by Pulsify Medical is an innovative device that allows the safe monitoring of the patient's cardiac performance, wherever they go, in a flexible and mobile way. The present work, done with this company partnership aims to assist in the choice of the architecture of this patch device, and consists in the portability and parallelization of an ultrasound delay and sum (DAS) algorithm, which will later be incorporated into Raspberry, for further comparisons. For that, initially, the code was ported from Matlab to C. Then, optimizations were made to finally start the analysis and parallelizations in Raspberry using OpenMP. For the analysis, tools like gprof and gprof2dot were used. After the analysis, the parallelization of one of the most costly functions was started and clauses like collapse and schedule were used. Then, the running time, using different combinations of clauses and for loops, were collected, which were used on a scalability analysis. This analysis, however, showed that the raspberry architecture maybe wasn't the best for this kind of application.engreponame:Repositório Institucional da UFRNinstname:Universidade Federal do Rio Grande do Norte (UFRN)instacron:UFRNinfo:eu-repo/semantics/openAccessORIGINALTCC__DANIELLY_FINAL.pdfTCC__DANIELLY_FINAL.pdfapplication/pdf2193813https://repositorio.ufrn.br/bitstream/123456789/46308/1/TCC__DANIELLY_FINAL.pdf03a9e1dfa991709bf46db09815cfa906MD51LICENSElicense.txtlicense.txttext/plain; charset=utf-81484https://repositorio.ufrn.br/bitstream/123456789/46308/2/license.txte9597aa2854d128fd968be5edc8a28d9MD52123456789/463082022-02-24 14:53:23.602oai:https://repositorio.ufrn.br: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Repositório de PublicaçõesPUBhttp://repositorio.ufrn.br/oai/opendoar:2022-02-24T17:53:23Repositório Institucional da UFRN - Universidade Federal do Rio Grande do Norte (UFRN)false |
dc.title.pt_BR.fl_str_mv |
Porting, pro filing and optimization of an ultrasound processing algorithm using Raspberry Pi 3 |
title |
Porting, pro filing and optimization of an ultrasound processing algorithm using Raspberry Pi 3 |
spellingShingle |
Porting, pro filing and optimization of an ultrasound processing algorithm using Raspberry Pi 3 Costa, Danielly Cristina de Matos Raspberry OpenMP Ultrasound Gprof |
title_short |
Porting, pro filing and optimization of an ultrasound processing algorithm using Raspberry Pi 3 |
title_full |
Porting, pro filing and optimization of an ultrasound processing algorithm using Raspberry Pi 3 |
title_fullStr |
Porting, pro filing and optimization of an ultrasound processing algorithm using Raspberry Pi 3 |
title_full_unstemmed |
Porting, pro filing and optimization of an ultrasound processing algorithm using Raspberry Pi 3 |
title_sort |
Porting, pro filing and optimization of an ultrasound processing algorithm using Raspberry Pi 3 |
author |
Costa, Danielly Cristina de Matos |
author_facet |
Costa, Danielly Cristina de Matos |
author_role |
author |
dc.contributor.referees1.none.fl_str_mv |
Silva, Kayo Gonçalves e |
dc.contributor.referees2.none.fl_str_mv |
Ichihara, Danilo Chaves de Sousa |
dc.contributor.author.fl_str_mv |
Costa, Danielly Cristina de Matos |
dc.contributor.advisor1.fl_str_mv |
Souza, Samuel Xavier de |
contributor_str_mv |
Souza, Samuel Xavier de |
dc.subject.por.fl_str_mv |
Raspberry OpenMP Ultrasound Gprof |
topic |
Raspberry OpenMP Ultrasound Gprof |
description |
The ultrasound monitoring patch developed by Pulsify Medical is an innovative device that allows the safe monitoring of the patient's cardiac performance, wherever they go, in a flexible and mobile way. The present work, done with this company partnership aims to assist in the choice of the architecture of this patch device, and consists in the portability and parallelization of an ultrasound delay and sum (DAS) algorithm, which will later be incorporated into Raspberry, for further comparisons. For that, initially, the code was ported from Matlab to C. Then, optimizations were made to finally start the analysis and parallelizations in Raspberry using OpenMP. For the analysis, tools like gprof and gprof2dot were used. After the analysis, the parallelization of one of the most costly functions was started and clauses like collapse and schedule were used. Then, the running time, using different combinations of clauses and for loops, were collected, which were used on a scalability analysis. This analysis, however, showed that the raspberry architecture maybe wasn't the best for this kind of application. |
publishDate |
2022 |
dc.date.accessioned.fl_str_mv |
2022-02-24T17:53:23Z |
dc.date.available.fl_str_mv |
2022-02-24T17:53:23Z |
dc.date.issued.fl_str_mv |
2022-02-11 |
dc.type.status.fl_str_mv |
info:eu-repo/semantics/publishedVersion |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/bachelorThesis |
format |
bachelorThesis |
status_str |
publishedVersion |
dc.identifier.citation.fl_str_mv |
COSTA, Danielly Cristina de Matos. Porting, profiling and optimization of an ultrasound processing algorithm using Raspberry Pi 3. 2022. 48f. Trabalho de Conclusão de Curso (Graduação em Engenharia de Computação) - Centro de Tecnologia, Universidade Federal do Rio Grande do Norte, Natal, 2022. |
dc.identifier.uri.fl_str_mv |
https://repositorio.ufrn.br/handle/123456789/46308 |
identifier_str_mv |
COSTA, Danielly Cristina de Matos. Porting, profiling and optimization of an ultrasound processing algorithm using Raspberry Pi 3. 2022. 48f. Trabalho de Conclusão de Curso (Graduação em Engenharia de Computação) - Centro de Tecnologia, Universidade Federal do Rio Grande do Norte, Natal, 2022. |
url |
https://repositorio.ufrn.br/handle/123456789/46308 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
eu_rights_str_mv |
openAccess |
dc.publisher.none.fl_str_mv |
Universidade Federal do Rio Grande do Norte |
dc.publisher.program.fl_str_mv |
Engenharia de Computação |
dc.publisher.initials.fl_str_mv |
UFRN |
dc.publisher.country.fl_str_mv |
Brasil |
dc.publisher.department.fl_str_mv |
Departamento de Engenharia de Computação e Automação |
publisher.none.fl_str_mv |
Universidade Federal do Rio Grande do Norte |
dc.source.none.fl_str_mv |
reponame:Repositório Institucional da UFRN instname:Universidade Federal do Rio Grande do Norte (UFRN) instacron:UFRN |
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UFRN |
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UFRN |
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Repositório Institucional da UFRN |
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Repositório Institucional da UFRN |
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