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dc.date.accessioned 2019-09-03T15:09:53Z
dc.date.available 2019-09-03T15:09:53Z
dc.date.issued 2019 es
dc.identifier.uri http://sedici.unlp.edu.ar/handle/10915/80358
dc.description.abstract Currently, there are benchmark sets that measure the performance of HPC systems under specific computing and communication properties. These benchmarks represent the kernels of applications that measure specific hardware components. If the user’s application is not represented by any benchmark, it is not possible to obtain an equivalent performance metric. In this work, we propose a benchmark based on the signature of an MPI application obtained by the PAS2P method. PAS2P creates the application signature in order to predict the execution time, which we believe will be very adjusted in relation to the execution time of the full application. The signature has two performance qualities: the bounded time to execute it (a benchmark property) and the quality of prediction. Therefore, we propose to extend the signature by giving the benchmark capacities such as the efficiency of the application over the HPC system. The performance metrics will be performed by the benchmark proposed. The experimentation validates our proposal with an average error of prediction close to 7%. es
dc.format.extent 28-40 es
dc.language en es
dc.subject High Performance Computing es
dc.subject MPI Application es
dc.subject Performance Prediction es
dc.subject Performance metrics es
dc.title Benchmark based on application signature to analyze and predict their behavior en
dc.type Objeto de conferencia es
sedici.identifier.isbn 978-3-030-27713-0 es
sedici.creator.person Tirado, Felipe es
sedici.creator.person Wong, Alvaro es
sedici.creator.person Rexachs del Rosario, Dolores es
sedici.creator.person Luque Fadón, Emilio es
sedici.subject.materias Ciencias Informáticas es
sedici.description.fulltext true es
mods.originInfo.place Instituto de Investigación en Informática es
sedici.subtype Objeto de conferencia es
sedici.rights.license Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0)
sedici.rights.uri http://creativecommons.org/licenses/by-nc-sa/4.0/
sedici.date.exposure 2019-06
sedici.relation.event VII Conference Cloud Computing and Big Data (La Plata, 2019) es
sedici.description.peerReview peer-review es
sedici.relation.isRelatedWith http://doi.org/10.1007/978-3-030-27713-0 es


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Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0) Except where otherwise noted, this item's license is described as Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0)