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Dynamic Power Management for Thermal Control of Many-Core Real-Time Systems
Mälardalens högskola, Akademin för innovation, design och teknik, Inbyggda system.ORCID-id: 0000-0002-1276-3609
ABB Corporate Research, Västerås, Sweden.ORCID-id: 0000-0002-3375-6766
Mälardalens högskola, Akademin för innovation, design och teknik, Inbyggda system.ORCID-id: 0000-0002-1687-930X
Mälardalens högskola, Akademin för innovation, design och teknik, Inbyggda system.ORCID-id: 0000-0001-6132-7945
2014 (engelsk)Inngår i: Sigbed Review, ISSN 1551-3688, Vol. 11, nr 3, s. 26-29Artikkel i tidsskrift (Fagfellevurdert) Published
Abstract [en]

Many-Core systems, processors incorporating numerous cores interconnected by a Network on Chip (NoC), provide the computing power needed by future applications. High power density caused by the steadily shrinking transistor size, which is still following Moore's law, leads to a number of problems such as overheating cores, affecting processor reliability and lifetime. Embedded real-time systems are exposed to a changing ambient temperature and thus need to adapt their configuration in order to keep the individual core temperature below critical values. %Targeting embedded real-time systems, systems need to adapt to changing environments. In our approach a hysteresis controller is implemented on each core, triggering a redistribution of the cores and the transition into idle state allowing the core to cool down. We propose two approaches, one global and one local approach, to redistribute the tasks and relive overheating cores during runtime. We evaluate the two proposed approaches by comparing them against each other based on simulations.

sted, utgiver, år, opplag, sider
2014. Vol. 11, nr 3, s. 26-29
Emneord [en]
Adaptive SchedulingMany-CoreTemperature
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Identifikatorer
URN: urn:nbn:se:mdh:diva-25155DOI: 10.1145/2692385.2692389OAI: oai:DiVA.org:mdh-25155DiVA, id: diva2:722762
Konferanse
6th Workshop on Adaptive and Reconfigurable Embedded Systems APRES'14, 14-17 Apr 2014, Berlin, Germany
Prosjekter
PREMISE - Predictable Multicore SystemsTilgjengelig fra: 2014-06-09 Laget: 2014-06-05 Sist oppdatert: 2016-08-25bibliografisk kontrollert

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Becker, MatthiasSandström, KristianBehnam, MorisNolte, Thomas

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