The DEEP Project An alternative approach to heterogeneous cluster‐computing in the many‐core era (English)
- New search for: Eicker, Norbert
- New search for: Lippert, Thomas
- New search for: Moschny, Thomas
- New search for: Suarez, Estela
- New search for: for the DEEP project
- New search for: Eicker, Norbert
- New search for: Lippert, Thomas
- New search for: Moschny, Thomas
- New search for: Suarez, Estela
- New search for: for the DEEP project
In:
Concurrency and Computation: Practice and Experience
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28
, 8
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2394-2411
;
2016
- Article (Journal) / Electronic Resource
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Title:The DEEP Project An alternative approach to heterogeneous cluster‐computing in the many‐core era
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Contributors:Eicker, Norbert ( author ) / Lippert, Thomas ( author ) / Moschny, Thomas ( author ) / Suarez, Estela ( author ) / for the DEEP project
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Published in:Concurrency and Computation: Practice and Experience ; 28, 8 ; 2394-2411
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Publisher:
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Publication date:2016-06-10
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Size:18 pages
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ISSN:
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DOI:
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Type of media:Article (Journal)
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Type of material:Electronic Resource
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Language:English
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Keywords:
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Source:
Table of contents – Volume 28, Issue 8
The tables of contents are generated automatically and are based on the data records of the individual contributions available in the index of the TIB portal. The display of the Tables of Contents may therefore be incomplete.
- 2317
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Issue Information| 2016
- 2319
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Heterogeneous cluster architectures and applicationsSilla, Federico / Fröning, Holger et al. | 2016
- 2322
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MPI and UPC broadcast, scatter and gather algorithms in Xeon PhiMallón, Damián A. / Taboada, Guillermo L. / Koesterke, Lars et al. | 2016
- 2341
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A new auction‐based scheduler for heterogeneous systems with moldable generic resources supportSoner, Seren / Ozturan, Can et al. | 2016
- 2353
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Gaspar: a compositional aspect‐oriented approach for cluster applicationsMedeiros, B. / Silva, R. / Sobral, J. L. et al. | 2016
- 2374
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Novo‐G#: a multidimensional torus‐based reconfigurable cluster for molecular dynamicsLawande, Abhijeet G. / George, Alan D. / Lam, Herman et al. | 2016
- 2394
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The DEEP Project An alternative approach to heterogeneous cluster‐computing in the many‐core eraEicker, Norbert / Lippert, Thomas / Moschny, Thomas / Suarez, Estela / for the DEEP project et al. | 2016
- 2412
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Parallel and distributed computing for Big Data applicationsSenger, Hermes / Geyer, Claudio et al. | 2016
- 2416
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BIGhybrid: a simulator for MapReduce applications in hybrid distributed infrastructures validated with the Grid5000 experimental platformAnjos, Julio C. S. / Fedak, Gilles / Geyer, Claudio F. R. et al. | 2016
- 2440
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A generic API for load balancing in distributed systems for big data managementAntoine, Maeva / Pellegrino, Laurent / Huet, Fabrice / Baude, Françoise et al. | 2016
- 2457
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Automatic I/O scheduling algorithm selection for parallel file systemsBoito, Francieli Zanon / Kassick, Rodrigo Virote / Navaux, Philippe O. A. / Denneulin, Yves et al. | 2016
- 2473
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Selection and replacement algorithms for memory performance improvement in SparkDuan, Mingxing / Li, Kenli / Tang, Zhuo / Xiao, Guoqing / Li, Keqin et al. | 2016
- 2487
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Watershed‐ng: an extensible distributed stream processing frameworkRocha, Rodrigo / Hott, Bruno / Dias, Vinícius / Ferreira, Renato / Meira, Wagner / Guedes, Dorgival et al. | 2016
- 2503
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BSP cost and scalability analysis for MapReduce operationsSenger, Hermes / Gil‐Costa, Veronica / Arantes, Luciana / Marcondes, Cesar A. C. / Marín, Mauricio / Sato, Liria M. / da Silva, Fabrício A.B. et al. | 2016
- 2528
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Analyzing related raw data files through dataflowsSilva, Vítor / de Oliveira, Daniel / Valduriez, Patrick / Mattoso, Marta et al. | 2016
- 2546
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A scalable framework for continuous query evaluations over multidimensional, scientific datasetsTolooee, Cameron / Malensek, Matthew / Pallickara, Sangmi Lee et al. | 2016