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Investigation on AUTOSAR-Compliant Solutionsfor Many-Core Architectures
Mälardalen University, School of Innovation, Design and Engineering, Embedded Systems. (CORE)ORCID iD: 0000-0002-1276-3609
Research and Technology Centre, Robert Bosch, India.
CISTER/INESC-TEC, ISEP, Portugal. (CISTER)
Mälardalen University, School of Innovation, Design and Engineering, Embedded Systems. (CORE)ORCID iD: 0000-0002-1687-930X
Show others and affiliations
2015 (English)In: Proceedings of the 18th Euromicro Conference on Digital System Design (DSD 2015), 2015Conference paper, Published paper (Refereed)
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.

Place, publisher, year, edition, pages
2015.
Keyword [en]
many-core, AUTOSAR, automotive
National Category
Embedded Systems
Research subject
Computer Science
Identifiers
URN: urn:nbn:se:mdh:diva-29286OAI: oai:DiVA.org:mdh-29286DiVA: diva2:858415
Conference
Euromicro Conference on Digital System Design
Projects
PREMISE
Funder
Knowledge Foundation, 16286
Available from: 2015-10-02 Created: 2015-10-02 Last updated: 2015-11-16Bibliographically approved
In thesis
1. Efficient Resource Management for Many-Core based Industrial Real-Time Systems
Open this publication in new window or tab >>Efficient Resource Management for Many-Core based Industrial Real-Time Systems
2015 (English)Licentiate thesis, comprehensive summary (Other academic)
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.

Place, publisher, year, edition, pages
Västerås: Mälardalen University, 2015
Series
Mälardalen University Press Licentiate Theses, ISSN 1651-9256 ; 221
National Category
Embedded Systems
Research subject
Computer Science
Identifiers
urn:nbn:se:mdh:diva-29290 (URN)978-91-7485-237-0 (ISBN)
Presentation
2015-11-06, Gamma, Västerås, 09:30 (English)
Opponent
Supervisors
Projects
PREMISE
Funder
Knowledge Foundation, 16286Knowledge Foundation, 16256
Available from: 2015-10-05 Created: 2015-10-02 Last updated: 2015-10-26Bibliographically approved

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Citation style
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