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Model-driven toolset for embedded reconfigurable cores: Flexible prototyping and software-like debugging.

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Title: Model-driven toolset for embedded reconfigurable cores: Flexible prototyping and software-like debugging.
Authors: Lagadec, Loïc1,2, Teodorov, Ciprian1,2, Le Lann, Jean-Christophe1,2, Picard, Damien, Fabiani, Erwan1,3
Source: Science of Computer Programming. Dec2014 Part 1, Vol. 96, p156-174. 19p.
Subjects: Smalltalk (Computer program language), Embedded computer systems -- Programming, Debugging, Computer programming, Integrators, Programming languages
Abstract: Improvements in system cost, size, performance, power dissipation, and design turnaround time are the key benefits offered by System-on-Chip designs. However they come at the cost of an increased complexity and long development cycles. Integrating reconfigurable cores offers a way to increase their flexibility and lifespan. However the integration of embedded reconfigurable units poses a number of unique challenges in terms of design-space exploration and system exploitation. Over the last few years, model-driven engineering has become one of the most promising methodologies for tackling such challenging software problems. This paper presents Biniou, a model-driven toolset for embedded reconfigurable core modeling. Biniou is a major step ahead of the Madeo framework that was one of the rare non-commercial environments targeting reconfigurable design automation. In Biniou, the design space is broadened with (re-)configuration modeling aspects, and the exploitation tools are enhanced through the use of multi-level simulation and high-level debugging. These advancements are illustrated through a case-study focused on the design-space exploration of a coarse-grained reconfigurable architecture and through an examination of the integration of the debug-specific features into the framework. The main benefits of the presented toolset are: efficient domain-space exploration (validation), software design-kit generation (usability), software-like debug facilities (verification). [ABSTRACT FROM AUTHOR]
Copyright of Science of Computer Programming is the property of Elsevier B.V. and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
Database: Engineering Source
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Header DbId: egs
DbLabel: Engineering Source
An: 99229191
AccessLevel: 6
PubType: Academic Journal
PubTypeId: academicJournal
PreciseRelevancyScore: 0
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  Data: Improvements in system cost, size, performance, power dissipation, and design turnaround time are the key benefits offered by System-on-Chip designs. However they come at the cost of an increased complexity and long development cycles. Integrating reconfigurable cores offers a way to increase their flexibility and lifespan. However the integration of embedded reconfigurable units poses a number of unique challenges in terms of design-space exploration and system exploitation. Over the last few years, model-driven engineering has become one of the most promising methodologies for tackling such challenging software problems. This paper presents Biniou, a model-driven toolset for embedded reconfigurable core modeling. Biniou is a major step ahead of the Madeo framework that was one of the rare non-commercial environments targeting reconfigurable design automation. In Biniou, the design space is broadened with (re-)configuration modeling aspects, and the exploitation tools are enhanced through the use of multi-level simulation and high-level debugging. These advancements are illustrated through a case-study focused on the design-space exploration of a coarse-grained reconfigurable architecture and through an examination of the integration of the debug-specific features into the framework. The main benefits of the presented toolset are: efficient domain-space exploration (validation), software design-kit generation (usability), software-like debug facilities (verification). [ABSTRACT FROM AUTHOR]
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  Data: <i>Copyright of Science of Computer Programming is the property of Elsevier B.V. and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
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              Text: Dec2014 Part 1
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