Assessing the performance of energy-aware mappings
| hal.structure.identifier | Laboratoire de l'Informatique du Parallélisme [LIP] | |
| hal.structure.identifier | Optimisation des ressources : modèles, algorithmes et ordonnancement [ROMA] | |
| dc.contributor.author | BENOIT, Anne | |
| hal.structure.identifier | Department of Computer Science - University of Pittsburgh | |
| dc.contributor.author | MELHEM, Rami | |
| hal.structure.identifier | Algorithmics for computationally intensive applications over wide scale distributed platforms [CEPAGE] | |
| dc.contributor.author | RENAUD-GOUD, Paul | |
| hal.structure.identifier | Laboratoire de l'Informatique du Parallélisme [LIP] | |
| hal.structure.identifier | Optimisation des ressources : modèles, algorithmes et ordonnancement [ROMA] | |
| dc.contributor.author | ROBERT, Yves | |
| dc.date.accessioned | 2024-04-15T09:42:01Z | |
| dc.date.available | 2024-04-15T09:42:01Z | |
| dc.date.issued | 2013 | |
| dc.identifier.issn | 0129-6264 | |
| dc.identifier.uri | https://oskar-bordeaux.fr/handle/20.500.12278/197648 | |
| dc.description.abstractEn | We aim at mapping streaming applications that can be modeled by a series-parallel graph onto a 2-dimensional tiled chip multiprocessor (CMP) architecture. The objective of the mapping is to minimize the energy consumption, using dynamic voltage and frequency scaling (DVFS) techniques, while maintaining a given level of performance, reflected by the rate of processing the data streams. This mapping problem turns out to be NP-hard, and several heuristics are proposed. We assess their performance through comprehensive simulations using the StreamIt workflow suite and randomly generated series-parallel graphs, and various CMP grid sizes. | |
| dc.description.sponsorship | Résilience des applications scientifiques sur machines exascales - ANR-10-BLAN-0301 | |
| dc.language.iso | en | |
| dc.publisher | World Scientific Publishing | |
| dc.title.en | Assessing the performance of energy-aware mappings | |
| dc.type | Article de revue | |
| dc.identifier.doi | 10.1142/S0129626413400033 | |
| dc.subject.hal | Informatique [cs]/Calcul parallèle, distribué et partagé [cs.DC] | |
| bordeaux.journal | Parallel Processing Letters | |
| bordeaux.volume | 23 | |
| bordeaux.hal.laboratories | Laboratoire Bordelais de Recherche en Informatique (LaBRI) - UMR 5800 | * |
| bordeaux.issue | 2 | |
| bordeaux.institution | Université de Bordeaux | |
| bordeaux.institution | Bordeaux INP | |
| bordeaux.institution | CNRS | |
| bordeaux.peerReviewed | oui | |
| hal.identifier | hal-00926105 | |
| hal.version | 1 | |
| hal.popular | non | |
| hal.audience | Internationale | |
| hal.origin.link | https://hal.archives-ouvertes.fr//hal-00926105v1 | |
| bordeaux.COinS | ctx_ver=Z39.88-2004&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.jtitle=Parallel%20Processing%20Letters&rft.date=2013&rft.volume=23&rft.issue=2&rft.eissn=0129-6264&rft.issn=0129-6264&rft.au=BENOIT,%20Anne&MELHEM,%20Rami&RENAUD-GOUD,%20Paul&ROBERT,%20Yves&rft.genre=article |
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