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Power consumption management in fat-tree interconnection networks

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Power consumption management in fat-tree interconnection networks

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dc.contributor.author Alonso Díaz, Marina es_ES
dc.contributor.author Coll, Salvador es_ES
dc.contributor.author Martínez Rubio, Juan Miguel es_ES
dc.contributor.author Santonja Gisbert, Vicente es_ES
dc.contributor.author López Rodríguez, Pedro Juan es_ES
dc.date.accessioned 2016-06-21T15:57:35Z
dc.date.available 2016-06-21T15:57:35Z
dc.date.issued 2015-10
dc.identifier.issn 0167-8191
dc.identifier.uri http://hdl.handle.net/10251/66260
dc.description NOTICE: this is the author’s version of a work that was accepted for publication in Parallel Computing. Changes resulting from the publishing process, such as peer review, editing, corrections, structural formatting, and other quality control mechanisms may not be reflected in this document. Changes may have been made to this work since it was submitted for publication. A definitive version was subsequently published in Parallel Computing, [Volume 48, October 2015, Pages 59–80] DOI 10.1016/j.parco.2015.03.007 es_ES
dc.description.abstract As higher communication bandwidth is required in current designs of high performance parallel computers, the amount of power consumed by the interconnection network also increases. Fat-tree is one of the most popular topologies in high performance interconnection networks aiming at low latency, efficient collective communication and scalability. We present a new methodology for managing power consumption of fat-tree interconnection networks. Our proposal is based on dynamically adjusting available network bandwidth according to traffic requirements. To meet this goal, we define a mechanism for managing the operating status of network links as a function of network load. Our main contributions include a complete definition of the mechanism and a tuning methodology based on its sensitivity and aggressiveness in terms of potential power savings. Results show that our proposal can provide significant power savings (up to 67% in a 4-ary 4-tree) with no changes in the underlying routing algorithm, with minimal impact on network performance. Experiments conducted on a 16-ary 3-tree topology provide up to 36% energy savings with performance degradation below 1.10%. es_ES
dc.description.sponsorship This work was supported by the Spanish Ministerio de Economa y Competitividad (MINECO) and by FEDER funds under Grant TIN2012-38341-C04-01 en_EN
dc.language Inglés es_ES
dc.publisher Elsevier es_ES
dc.relation Spanish Ministerio de Economa y Competitividad es_ES
dc.relation FEDER funds under Grant TIN2012-38341-C04-01 es_ES
dc.relation.ispartof Parallel Computing es_ES
dc.rights Reserva de todos los derechos es_ES
dc.subject Power consumption es_ES
dc.subject Interconnection network es_ES
dc.subject Fat-tree es_ES
dc.subject.classification ARQUITECTURA Y TECNOLOGIA DE COMPUTADORES es_ES
dc.subject.classification TECNOLOGIA ELECTRONICA es_ES
dc.title Power consumption management in fat-tree interconnection networks es_ES
dc.type Artículo es_ES
dc.identifier.doi 10.1016/j.parco.2015.03.007
dc.rights.accessRights Cerrado es_ES
dc.contributor.affiliation Universitat Politècnica de València. Departamento de Informática de Sistemas y Computadores - Departament d'Informàtica de Sistemes i Computadors es_ES
dc.contributor.affiliation Universitat Politècnica de València. Departamento de Ingeniería Electrónica - Departament d'Enginyeria Electrònica es_ES
dc.description.bibliographicCitation Alonso Díaz, M.; Coll, S.; Martínez Rubio, JM.; Santonja Gisbert, V.; López Rodríguez, PJ. (2015). Power consumption management in fat-tree interconnection networks. Parallel Computing. 48:59-80. doi:10.1016/j.parco.2015.03.007 es_ES
dc.description.accrualMethod S es_ES
dc.relation.publisherversion http://dx.doi.org/10.1016/j.parco.2015.03.007 es_ES
dc.description.upvformatpinicio 59 es_ES
dc.description.upvformatpfin 80 es_ES
dc.type.version info:eu-repo/semantics/publishedVersion es_ES
dc.description.volume 48 es_ES
dc.relation.senia 300968 es_ES


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