dc.creatorTirado Maraboli, Felipe
dc.creatorWong, Alvaro
dc.creatorRexachs, Dolores
dc.creatorLuque, Emilio
dc.date2024-01-11T15:08:22Z
dc.date2024-01-11T15:08:22Z
dc.date2023
dc.date.accessioned2024-05-02T20:32:02Z
dc.date.available2024-05-02T20:32:02Z
dc.identifierhttp://repositorio.ucm.cl/handle/ucm/5175
dc.identifier.urihttps://repositorioslatinoamericanos.uchile.cl/handle/2250/9275360
dc.descriptionThe performance modeling of a parallel application is crucial for the better use of the HPC resources. However, certain scientific applications exhibit irregular performance characteristics, posing challenges in accurately modeling their behavior. This irregularity primarily arises from these applications’ non-deterministic computation and communication patterns. This article introduces a performance modeling methodology designed for irregular parallel applications based on the PAS2P methodology. The PAS2P tool generates an application signature and utilizes it to analyze and predict performance. Our approach is based on process-based data analysis to characterize these applications according to the behavior of individual processes, proposing a model to group processes at the time of signature construction. This model allowed us to obtain a reduced number of phases and weights in a limited time, allowing us to characterize the application.
dc.languageen
dc.rightsAtribución-NoComercial-SinDerivadas 3.0 Chile
dc.rightshttp://creativecommons.org/licenses/by-nc-nd/3.0/cl/
dc.sourceProceedings - International Conference of the Chilean Computer Science Society, SCCC, 2023, 1-8
dc.subjectComputer science
dc.subjectAnalytical models
dc.subjectData analysis
dc.subjectComputational modeling
dc.subjectData models
dc.subjectBehavioral sciences
dc.titlePerformance model for irregular parallel applications.
dc.typeArticle


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