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dc.contributor.author
Tinetti, Fernando Gustavo
dc.contributor.author
Rios, Leopoldo Jose
dc.date.available
2023-06-08T14:32:44Z
dc.date.issued
2016
dc.identifier.citation
Round Robin Data Bases for Performance Evaluation of High Performance Applications and Cluster; 2016 International Conference on Grid, Cloud, and Cluster Computing; Las Vegas; Estados Unidos; 2016
dc.identifier.isbn
1-60132-436-7
dc.identifier.uri
http://hdl.handle.net/11336/199995
dc.description.abstract
We introduce a tool for automating (or aiding) performance evaluation of HPC (High Performance Computing) applications by combining both, Round Robin Databases (also referred to as RRD) and performance data collected at runtime. RRD monitoring is at the base of several well-known and popoular tools for cluster monitoring. We use take advantage of already existing RRD tools for collecting, processing, and presenting runtime data for scientific processing users. Scientific application (and even the hardware used by those scientific applications) are assumed to be performance optimized, but it is not always the case. Thus, collecting and analyzing runtime information will help scientific users to decide new optimizations and/or runtime strategies. The primary focus will be on parallel applications running in clusters, i.e. distributed hardware, since they are the most complex to optimize given their different and varying computing and communications patterns.
dc.format
application/pdf
dc.language.iso
eng
dc.publisher
Computer Science Research, Education, and Applications Press
dc.rights
info:eu-repo/semantics/openAccess
dc.rights.uri
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
dc.subject
HPC
dc.subject
RRD TOOLS
dc.subject
PERFORMANCE EVALUATION
dc.subject
OPEN SOFTWARE TOOLS
dc.subject
ROUND ROBIN DATABASES
dc.subject.classification
Otras Ciencias de la Computación e Información
dc.subject.classification
Ciencias de la Computación e Información
dc.subject.classification
CIENCIAS NATURALES Y EXACTAS
dc.title
Round Robin Data Bases for Performance Evaluation of High Performance Applications and Cluster
dc.type
info:eu-repo/semantics/publishedVersion
dc.type
info:eu-repo/semantics/conferenceObject
dc.type
info:ar-repo/semantics/documento de conferencia
dc.date.updated
2022-11-25T00:29:01Z
dc.journal.pais
Estados Unidos
dc.journal.ciudad
Las Vegas
dc.description.fil
Fil: Tinetti, Fernando Gustavo. Universidad Nacional de La Plata. Facultad de Informática; Argentina
dc.description.fil
Fil: Rios, Leopoldo Jose. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Nordeste. Instituto de Modelado e Innovación Tecnológica. Universidad Nacional del Nordeste. Facultad de Ciencias Exactas Naturales y Agrimensura. Instituto de Modelado e Innovación Tecnológica; Argentina
dc.relation.alternativeid
info:eu-repo/semantics/altIdentifier/url/http://worldcomp-proceedings.com/proc/p2016/GCC16_Contents.html
dc.conicet.rol
Autor
dc.conicet.rol
Autor
dc.coverage
Internacional
dc.type.subtype
Conferencia
dc.description.nombreEvento
2016 International Conference on Grid, Cloud, and Cluster Computing
dc.date.evento
2016-07-25
dc.description.ciudadEvento
Las Vegas
dc.description.paisEvento
Estados Unidos
dc.type.publicacion
Book
dc.description.institucionOrganizadora
University of Georgia
dc.source.libro
Proceedings of the International Conference on Grid, Cloud, and Cluster Computing GCC'16
dc.date.eventoHasta
2016-07-28
dc.type
Conferencia
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