GNOC

Towards a Gaussian Network-on-Chip

Coordinatore	TECHNION - ISRAEL INSTITUTE OF TECHNOLOGY    more Spiacenti, non ci sono informazioni su questo coordinatore. Contattare Fabio per maggiori infomrazioni, grazie.
Nazionalità Coordinatore	Israel [IL]
Totale costo	582˙500 €
EC contributo	582˙500 €
Programma	FP7-IDEAS-ERC Specific programme: "Ideas" implementing the Seventh Framework Programme of the European Community for research, technological development and demonstration activities (2007 to 2013)
Code Call	ERC-2007-StG
Funding Scheme	ERC-SG
Anno di inizio	2008
Periodo (anno-mese-giorno)	2008-08-01   -   2012-07-31

 Partecipanti

#	participant	country	role	EC contrib. [€]
1	TECHNION - ISRAEL INSTITUTE OF TECHNOLOGY  Organization address address: TECHNION CITY - SENATE BUILDING city: HAIFA postcode: 32000 contact info Titolo: Dr. Nome: Isaac Cognome: Keslassy Email: send email Telefono: -8294770 Fax: -8294789	IL (HAIFA)	hostInstitution	0.00
2	TECHNION - ISRAEL INSTITUTE OF TECHNOLOGY  Organization address address: TECHNION CITY - SENATE BUILDING city: HAIFA postcode: 32000 contact info Titolo: Mr. Nome: Mark Cognome: Davison Email: send email Telefono: +972 4 829 3097 Fax: +972 4 823 2958	IL (HAIFA)	hostInstitution	0.00

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 Obiettivo del progetto (Objective)

'As chip multi-processor architectures are replacing single-processor architectures and reshaping the semiconductor industry, chip designers can hardly use their old models and benchmarks anymore. While designers were used to deterministic and reliable performance in the chips, they now face networks with unreliable traffic patterns, unreliable throughput and unreliable delays, hence making it hard to provide any guaranteed Quality-of-Service (QoS). In this proposal, we argue that chip designers should focus on the possible set of traffic patterns in their Network-on-Chip (NoC) architectures. We first show how to provide deterministic QoS guarantees by exploiting these patterns. Then, we explain why the cost of providing deterministic guarantees might become prohibitive, and defend an alternative statistical approach that can significantly lower the area and power. To do so, we introduce Gaussian-based NoC models, and show how they can be used to evaluate link loads, delays and throughputs, as well as redesign the routing and capacity allocation algorithms. Finally, we argue that these models could effectively complement current benchmarks, and should be a central component in the toolbox of the future NoC designer.'