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Limiting temperature gradients on many-cores by adaptive reallocation of real-time workloads
Mälardalens högskola, Akademin för innovation, design och teknik, Inbyggda system.ORCID-id: 0000-0002-1276-3609
ABB Corporate Research, Västerås, Sweden .
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: 19th IEEE International Conference on Emerging Technologies and Factory Automation, ETFA 2014, 2014, s. Article number 7005241-Konferansepaper, Publicerat paper (Fagfellevurdert)
Abstract [en]

The advent of many-core processors came with the increase in computational power needed for future applications. However new challenges arrived at the same time, especially for the real-time community. Each core on such a processor is a heat source and uneven usage can lead to hot spots on the processor, affecting its lifetime and reliability. For real-time systems, it is therefore of paramount importance to keep the temperature differences between the individual cores below critical values, in order to prevent premature failure of the system. We argue that this problem can not be solved by traditional approaches, since the growing number of cores makes them intractable. We rather argue to split the problem in the spacial domain and control the temperature on core level. The cores control their temperature by rearranging the load in a predictable manner during runtime. To achieve this, a feedback controller is implemented on each core. We conclude our work with a simulation based evaluation of the proposed approach comparing its performance against a previously presented algorithm. 

sted, utgiver, år, opplag, sider
2014. s. Article number 7005241-
Emneord [en]
Factory automation, Interactive computer systems, Computational power, Feedback controller, Future applications, Many-core processors, Premature failures, Real-time community, Temperature differences, Traditional approaches, Real time systems
HSV kategori
Identifikatorer
URN: urn:nbn:se:mdh:diva-27936DOI: 10.1109/ETFA.2014.7005241ISI: 000360999100192Scopus ID: 2-s2.0-84946692516ISBN: 9781479948468 (tryckt)OAI: oai:DiVA.org:mdh-27936DiVA, id: diva2:809148
Konferanse
19th IEEE International Conference on Emerging Technologies and Factory Automation, ETFA 2014, 16 September 2014 through 19 September 2014
Tilgjengelig fra: 2015-04-30 Laget: 2015-04-30 Sist oppdatert: 2018-01-11bibliografisk kontrollert
Inngår i avhandling
1. Efficient Resource Management for Many-Core based Industrial Real-Time Systems
Åpne denne publikasjonen i ny fane eller vindu >>Efficient Resource Management for Many-Core based Industrial Real-Time Systems
2015 (engelsk)Licentiatavhandling, med artikler (Annet vitenskapelig)
Abstract [en]

The increased complexity of today’s industrial embedded systems stands inneed for more computational power while most systems must adhere to a restrictedenergy consumption, either to prolong the battery lifetime or to reduceoperational costs. The many-core processor is therefore a natural fit. Due tothe simple architecture of the compute cores, and therefore their good analyzability,such processors are additionally well suited for real-time applications.In our research, we focus on two particular problems which need to be addressedin order to pave the way into the many-core era. The first area is powerand thermal aware execution frameworks, where we present different energyaware extensions to well known load balancing algorithms, allowing them todynamically scale the number of active cores depending on their workload.In contrast, an additional framework is presented which balances workloadsto minimize temperature gradients on the die. The second line of works focuseson industrial standards in the face of massively parallel platforms, wherewe address the automotive and automation domain. We present an executionframework for IEC 61131-3 applications, allowing the consolidation of severalIEC 61131-3 applications on the same platform. Additionally, we discussseveral architectural options for the AUTOSAR software architecture on suchmassively parallel platforms.

sted, utgiver, år, opplag, sider
Västerås: Mälardalen University, 2015
Serie
Mälardalen University Press Licentiate Theses, ISSN 1651-9256 ; 221
HSV kategori
Forskningsprogram
datavetenskap
Identifikatorer
urn:nbn:se:mdh:diva-29290 (URN)978-91-7485-237-0 (ISBN)
Presentation
2015-11-06, Gamma, Västerås, 09:30 (engelsk)
Opponent
Veileder
Prosjekter
PREMISE
Forskningsfinansiär
Knowledge Foundation, 16286Knowledge Foundation, 16256
Tilgjengelig fra: 2015-10-05 Laget: 2015-10-02 Sist oppdatert: 2015-10-26bibliografisk kontrollert

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