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Investigation on AUTOSAR-Compliant Solutionsfor Many-Core Architectures
Mälardalens högskola, Akademin för innovation, design och teknik, Inbyggda system. (CORE)ORCID-id: 0000-0002-1276-3609
Research and Technology Centre, Robert Bosch, India.
CISTER/INESC-TEC, ISEP, Portugal. (CISTER)
Mälardalens högskola, Akademin för innovation, design och teknik, Inbyggda system. (CORE)ORCID-id: 0000-0002-1687-930X
Vise andre og tillknytning
2015 (engelsk)Inngår i: Proceedings of the 18th Euromicro Conference on Digital System Design (DSD 2015), 2015Konferansepaper, Publicerat paper (Fagfellevurdert)
Abstract [en]

As of today, AUTOSAR is the de facto standard inthe automotive industry, providing a common software architectureand development process for automotive applications. Whilethis standard is originally written for singlecore operated ElectronicControl Units (ECU), new guidelines and recommendationshave been added recently to provide support for multicore architectures.This update came as a response to the steady increase ofthe number and complexity of the software functions embedded inmodern vehicles, which call for the computing power of multicoreexecution environments. In this paper, we enumerate and analyzethe design options and the challenges of porting AUTOSAR-basedautomotive applications onto multicore platforms. In particular,we investigate those options when considering the emerging manycorearchitectures that provide a more scalable environment thanthe traditional multicore systems. Such platforms are suitableto enable massive parallel execution, and their design is moresuitable for partitioning and isolating the software components.

sted, utgiver, år, opplag, sider
2015.
Emneord [en]
many-core, AUTOSAR, automotive
HSV kategori
Forskningsprogram
datavetenskap
Identifikatorer
URN: urn:nbn:se:mdh:diva-29286OAI: oai:DiVA.org:mdh-29286DiVA, id: diva2:858415
Konferanse
Euromicro Conference on Digital System Design
Prosjekter
PREMISE
Forskningsfinansiär
Knowledge Foundation, 16286Tilgjengelig fra: 2015-10-02 Laget: 2015-10-02 Sist oppdatert: 2015-11-16bibliografisk 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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