dc.creatorTinetti, Fernando Gustavo
dc.creatorDenham, Mónica Malén
dc.creatorDe Giusti, Armando Eduardo
dc.date2003
dc.date2003
dc.date2022-06-06T17:17:25Z
dc.date.accessioned2023-07-15T04:42:13Z
dc.date.available2023-07-15T04:42:13Z
dc.identifierhttp://sedici.unlp.edu.ar/handle/10915/137418
dc.identifierissn:0302-9743
dc.identifierissn:1611-3349
dc.identifier.urihttps://repositorioslatinoamericanos.uchile.cl/handle/2250/7470563
dc.descriptionThis work presents a simple but effective approach for two representative linear algebra operations to be solved in parallel on Ethernet-based clusters: matrix multiplication and LU matrix factorization. The main objectives of this approach are: simplicity and performance optimization. The approach is completed at a lower level by including a broadcast routine based directly on top of UDP to take advantage of the Ethernet physical broadcast facility. The performance of the proposed algorithms implemented on Ethernet-based clusters is compared with the performance obtained with the ScaLAPACK library, which is taken as having highly optimized algorithms for distributed memory parallel computers in general and clusters in particular.
dc.descriptionInstituto de Investigación en Informática
dc.formatapplication/pdf
dc.format431-439
dc.languagees
dc.rightshttp://creativecommons.org/licenses/by/4.0/
dc.rightsCreative Commons Attribution 4.0 International (CC BY 4.0)
dc.subjectInformática
dc.subjectCluster Computing
dc.subjectParallel Linear Algebra Computing
dc.subjectCommunication Performance
dc.subjectParallel algorithms
dc.subjectHigh Performance Computing
dc.titleParallel Matrix Multiplication and LU Factorization on Ethernet-Based Clusters
dc.typeObjeto de conferencia
dc.typeObjeto de conferencia


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