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Time-Predictable Embedded Software on Multi-Core Platforms: Analysis and Optimization
Linköpings universitet, Institutionen för datavetenskap, Programvara och system. Linköpings universitet, Tekniska fakulteten. (ESLAB)
National University of Singapore.
Linköpings universitet, Institutionen för datavetenskap, ESLAB - Laboratoriet för inbyggda system.
Linköpings universitet, Institutionen för datavetenskap, ESLAB - Laboratoriet för inbyggda system. Linköpings universitet, Institutionen för datavetenskap, Programvara och system. Linköpings universitet, Tekniska högskolan.
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2014 (Engelska)Ingår i: Foundations and Trends in Electronic Design Automation, ISSN 1551-3939, Vol. 8, nr 3-4, s. 199-356Artikel i tidskrift (Refereegranskat) Published
Abstract [en]

Multi-core architectures have recently gained popularity due to their high-performance and low-power characteristics. Most of the modern desktop systems are now equipped with multi-core processors. Despite the wide-spread adaptation of multi-core processors in desktop systems, using such processors in embedded systems still poses several challenges. Embedded systems are often constrained by several extra-functional aspects, such as time. Therefore, providing guarantees for time-predictable execution is one of the key requirements for embedded system designers. Multi-core processors adversely affect the time-predictability due to the presence of shared resources, such as shared caches and shared buses. In this contribution, we shall first discuss the challenges imposed by multi-core architectures in designing time-predictable embedded systems. Subsequently, we shall describe, in details, a comprehensive solution to guarantee time-predictable execution on multi-core platforms. Besides, we shall also perform a discussion of different techniques to provide an overview of the state-of-the-art solutions in this topic. Through this work, we aim to provide a solid background on recent trends of research towards achieving time-predictability on multi-cores. Besides, we also highlight the limitations of the state-of-the-art and discuss future research opportunities and challenges to accomplish time-predictable execution on multi-core platforms.

Ort, förlag, år, upplaga, sidor
2014. Vol. 8, nr 3-4, s. 199-356
Nationell ämneskategori
Data- och informationsvetenskap
Identifikatorer
URN: urn:nbn:se:liu:diva-112687DOI: 10.1561/1000000037OAI: oai:DiVA.org:liu-112687DiVA, id: diva2:769438
Tillgänglig från: 2014-12-08 Skapad: 2014-12-08 Senast uppdaterad: 2018-01-11Bibliografiskt granskad

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