TERAFLUX: Harnessing dataflow in next generation teradevices

Roberto Giorgi 1 Rosa M. Badia 2 François Bodin 3 Albert Cohen 4 Paraskevas Evripidou 5 Paolo Faraboschi 6 Bernhard Fechner 7 Guang R. Gao 8 Arne Garbade 2, 7 Rahul Gayatri 2 Sylvain Girbal 9 Daniel Goodman 10 Behran Khan 10 Souad Koliaï 8 Joshua Landwehr 8 Nhat Minh 4 Feng Li 4 Mikel Lujàn 10 Avi Mendelson 11 Laurent Morin 3 Nacho Navarro 2 Tomasz Patejko 2 Antoniu Pop 4 Pedro Trancoso 5 Theo Ungerer 7 Ian Watson 10 Sebastian Weis 7 Stéphane Zuckerman 8 Mateo Valero 2
1 DIISM - Dipartimento di Ingegneria dell'informazione e scienze matematiche [Siena]
2 BSC - CNS - Barcelona Supercomputing Center - Centro Nacional de Supercomputacion
3 CAPS entreprise [Rennes]
4 Parkas - Parallélisme de Kahn Synchrone
DI-ENS - Département d'informatique de l'École normale supérieure, Inria Paris-Rocquencourt, CNRS - Centre National de la Recherche Scientifique : UMR 8548
5 Computer Science Department [Cyprus]
6 Intelligent Infrastructure Lab. [Barcelona]
7 University of Augsburg [Augsburg]
8 University of Delaware [Newark]
9 Thales (France)
10 University of Manchester [Manchester]
11 Technion - Israel Institute of Technology [Haifa]
Abstract : The improvements in semiconductor technologies are gradually enabling extreme-scale systems such as teradevices (i.e., chips composed by 1000 billion of transistors), most likely by 2020. Three major challenges have been identified: programmability, manageable architecture design, and reliability. TERAFLUX is a Future and Emerging Technology (FET) large-scale project funded by the European Union, which addresses such challenges at once by leveraging the dataflow principles. This paper presents an overview of the research carried out by the TERAFLUX partners and some preliminary results. Our platform comprises 1000+ general purpose cores per chip in order to properly explore the above challenges. An architectural template has been proposed and applications have been ported to the platform. Programming models, compilation tools, and reliability techniques have been developed. The evaluation is carried out by leveraging on modifications of the HP-Labs COTSon simulator.
Keywords : Multi-cores Dataflow Programming model Compilation Reliability Architecture Simulation Many-cores Exascale computing
Type de document :
Article dans une revue
Microprocessors and Microsystems: Embedded Hardware Design (MICPRO), Elsevier, 2014, 38 (8), pp. 976-990. 〈10.1016/j.micpro.2014.04.001〉
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https://hal.inria.fr/hal-00992721
Contributeur : Feng Li <>
Soumis le : lundi 19 mai 2014 - 11:15:59
Dernière modification le : vendredi 25 mai 2018 - 12:02:06

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Roberto Giorgi, Rosa M. Badia, François Bodin, Albert Cohen, Paraskevas Evripidou, et al.. TERAFLUX: Harnessing dataflow in next generation teradevices. Microprocessors and Microsystems: Embedded Hardware Design (MICPRO), Elsevier, 2014, 38 (8), pp. 976-990. 〈10.1016/j.micpro.2014.04.001〉. 〈hal-00992721〉

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