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Embedded Systems Letters, IEEE

Issue 1 • Date March 2013

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Displaying Results 1 - 9 of 9
  • Table of contents

    Page(s): C1
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  • IEEE Embedded Systems Letters publication information

    Page(s): C2
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  • Editorial: Introduction of New Associate Editors

    Page(s): 1 - 3
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  • Softcore Processor Optimization According to Real-Application Requirements

    Page(s): 4 - 7
    Save to Project icon | Request Permissions | Click to expandQuick Abstract | PDF file iconPDF (596 KB) |  | HTML iconHTML  

    Nowadays, embedded processor cores are integrated into most system-on-chip (SoC). Processor cores can be designed to be dedicated for an SoC. However, reusing of generic processors is often preferred due to time to market constraint. Such processors have drawbacks in terms of hardware complexity and power consumption. Indeed, some of their instructions and hardware resources are useless. These area and energy inefficiencies are problematic for low-cost and low-energy systems. In this paper, we propose a methodology for automatically reducing processor functionalities and the resulting hardware complexity according to real-application requirements. This approach was evaluated on two open-source processor cores. The results show that the average area and power consumption savings are over 20% on both application-specific integrated circuit (ASIC) and field-programmable gate array (FPGA) technologies. View full abstract»

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  • Formal Methods for Early Analysis of Functional Reliability in Component-Based Embedded Applications

    Page(s): 8 - 11
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    We present formal methods for determining whether a set of components with given reliability certificates for specific functional properties are adequate to guarantee desired end-to-end properties with specified reliability requirements. We introduce a formal notion for the reliability gap in component-based designs and demonstrate the proposed approach for analyzing this gap using a case study developed around an Elevator Control System. View full abstract»

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  • Reconfigurable Computing in Next-Generation Automotive Networks

    Page(s): 12 - 15
    Save to Project icon | Request Permissions | Click to expandQuick Abstract | PDF file iconPDF (330 KB) |  | HTML iconHTML  

    Modern vehicles incorporate a significant amount of computation, which has led to an increase in the number of computational nodes and the need for faster in-vehicle networks. Functions range from noncritical control of electric windows, through critical drive-by-wire systems, to entertainment applications; as more systems are automated, this variety and number will continue to increase. Accommodating the varying computational and communication requirements of such a diverse range of functions requires flexible networks and embedded computing devices. As the number of electronic control units (ECUs) increases, power and efficiency become more important, more so in next-generation electric vehicles. Moreover, predictability and isolation of safety-critical functions are nontrivial challenges when aggregating multiple functions onto fewer nodes. Reconfigurable computing can play a key role in addressing these challenges, providing both static and dynamic flexibility, with high computational capabilities, at lower power consumption. Reconfigurable hardware also provides resources and methods to address deterministic requirements, reliability and isolation of aggregated functions. This letter presents some initial research on the place of reconfigurable computing in future vehicles. View full abstract»

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  • Open Access

    Page(s): 16
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  • IEEE Embedded Systems Letters information for authors

    Page(s): C3
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  • [Blank page - back cover]

    Page(s): C4
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Aims & Scope

The IEEE EMBEDDED SYSTEMS LETTERS (ESL), provides a forum for rapid dissemination of latest technical advances in embedded systems and related areas in embedded software.

Full Aims & Scope

Meet Our Editors

EDITOR-IN-CHIEF
Krithi Ramamritham
Department of Computer Science and Engineering
Indian Institute of Technology Bombay

DEPUTY EDITOR-IN-CHIEF
Catherine Gebotys
Department of Electrical and Computer Engineering
University of Waterloo