Parallelization Strategy Using Lustre and MPI for Face Detection in HPC Cluster: A Case Study

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AudienciaPúblico en generales_ES
CoberturaMéxicoes_ES
Fecha de ingreso2026-09-15T00:31:15Z
Fecha de publicación2020-03-30
ResumenThe hardware requirements in object detection systems make these applications a challenge in their development given the high consumption of processing and memory they require for their execution. The detection of certain characteristics; in the case of a face, the profile, as well as the lighting, the distances and the numbers of objects are factors that influence the proper functioning and performance of these implementations. This paper presents an alternative to solve part of this problem through a parallelization strategy using Luster and MPI-IO for face detection in the HPC Cluster. We compare Dlib and OpenCV with our alternative based on the Viola-Jones algorithm called Facedetector_MPI. The tests were executed in HPC cluster with 7 nodes (1 metadata server, 2 object storage server and 2 and 4 lustre clients) and we used images since 4 to 148 faces. The results showed an important reduction in the read time of the image file compared with OpenCV of about 50% when the files are bigger to the stripe size(>1MB). Better is the increase obtained in processing around double compared with Dlib in the large images(>2Mpx) without greatly affecting the hit rate in the face detection.es_ES
Doihttps://doi.org/10.13053/cys-24-1-3053es_ES
URIhttps://riuat.uat.edu.mx/handle/123456789/2930
Idiomaenes_ES
EditorialNational Polytechnic Institutees_ES
RelaciónComputación y Sistemases_ES
URL relacionadohttps://doi.org/10.13053/cys-24-1-3053es_ES
DerechosAcceso restringido / Suscripción (Metadatos de producción científica)es_ES
Licenciahttp://purl.org/coar/access_right/c_16eces_ES
FuenteComputación y Sistemas
Palabra claveLustre (file system)es_ES
Palabra claveComputer sciencees_ES
Palabra claveFace detectiones_ES
Palabra claveObject storagees_ES
Palabra claveParallel computinges_ES
Palabra claveFace (sociological concept)es_ES
Palabra claveImplementationes_ES
Palabra claveOperating systemes_ES
Palabra claveMetadataes_ES
Palabra claveSupercomputeres_ES
Palabra claveFacial recognition systemes_ES
Palabra claveArtificial intelligencees_ES
ClasificaciónAdvanced Image and Video Retrieval Techniqueses_ES
TítuloParallelization Strategy Using Lustre and MPI for Face Detection in HPC Cluster: A Case Studyes_ES
TipoArtículoes_ES
ArbitradoHa sido Arbitradoes_ES
AutorCruz, Hugo Eduardo Camacho
AutorMariño, Julio César González
AutorPeña, Jesús Humberto Foullon
AutorCruz, Hugo Eduardo Camachoes_ES
AutorMariño, Julio César Gonzálezes_ES
AutorPeña, Jesús Humberto Foullones_ES
InstituciónUniversidad Autónoma de Tamaulipas
InstituciónUniversidad Autónoma de Tamaulipases_ES
Número1es_ES
URL relacionadahttps://doi.org/10.13053/cys-24-1-3053
Tipo de artículoIndexado
Tipo de artículoIndexadoes_ES
Volumen24es_ES

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