4,496 research outputs found

    From MARTE to dynamically reconfigurable FPGAs : Introduction of a control extension in a model based design flow

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    System-on-Chip (SoC) can be considered as a particular case of embedded systems and has rapidly became a de-facto solution for implement- ing these complex systems. However, due to the continuous exponential rise in SoC's design complexity, there is a critical need to find new seamless method- ologies and tools to handle the SoC co-design aspects. This paper addresses this issue and proposes a novel SoC co-design methodology based on Model Driven Engineering (MDE) and the MARTE (Modeling and Analysis of Real-Time and Embedded Systems) standard proposed by OMG (Object Management Group), in order to raise the design abstraction levels. Extensions of this standard have enabled us to move from high level specifications to execution platforms such as reconfigurable FPGAs; and allow to implement the notion of Partial Dy- namic Reconfiguration supported by current FPGAs. The overall objective is to carry out system modeling at a high abstraction level expressed in UML (Unified Modeling Language); and afterwards, transform these high level mod- els into detailed enriched lower level models in order to automatically generate the necessary code for final FPGA synthesis

    From MARTE to Reconfigurable NoCs: A model driven design methodology

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    Due to the continuous exponential rise in SoC's design complexity, there is a critical need to find new seamless methodologies and tools to handle the SoC co-design aspects. We address this issue and propose a novel SoC co-design methodology based on Model Driven Engineering and the MARTE (Modeling and Analysis of Real-Time and Embedded Systems) standard proposed by Object Management Group, to raise the design abstraction levels. Extensions of this standard have enabled us to move from high level specifications to execution platforms such as reconfigurable FPGAs. In this paper, we present a high level modeling approach that targets modern Network on Chips systems. The overall objective: to perform system modeling at a high abstraction level expressed in Unified Modeling Language (UML); and afterwards, transform these high level models into detailed enriched lower level models in order to automatically generate the necessary code for final FPGA synthesis

    A Model based design flow for Dynamic Reconfigurable FPGAs

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    International audienceAs System-on-Chip (SoC) based embedded systems have become a de-facto industry standard, their overall design complexity has increased exponentially in recent years, necessitating the introduction of new seamless methodologies and tools to handle the SoC co-design aspects. This paper presents a novel SoC co-design methodology based on Model Driven Engineering and the MARTE (Modeling and Analysis of Real-Time and Embedded Systems) standard, permitting us to raise the abstraction levels and allows to model fine grain reconfigurable architectures such as FPGAs. Extensions of this methodology have enabled us to integrate new features such as Partial Dynamic Reconfiguration supported by Modern FPGAs. The overall objective is to carry out system modeling at a high abstraction level expressed in a graphical language like UML (Unified Modeling Language) and afterwards transformation of these models, automatically generate the necessary code for FPGA synthesis

    Performance and resource modeling for FPGAs using high-level synthesis tools

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    High-performance computing with FPGAs is gaining momentum with the advent of sophisticated High-Level Synthesis (HLS) tools. The performance of a design is impacted by the input-output bandwidth, the code optimizations and the resource consumption, making the performance estimation a challenge. This paper proposes a performance model which extends the roofline model to take into account the resource consumption and the parameters used in the HLS tools. A strategy is developed which maximizes the performance and the resource utilization within the area of the FPGA. The model is used to optimize the design exploration of a class of window-based image processing application

    ParaFPGA 2013: Harnessing Programs, Power and Performance in Parallel FPGA applications

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    Future computing systems will require dedicated accelerators to achieve high-performance. The mini-symposium ParaFPGA explores parallel computing with FPGAs as an interesting avenue to reduce the gap between the architecture and the application. Topics discussed are the power of functional and dataflow languages, the performance of high-level synthesis tools, the automatic creation of hardware multi-cores using C-slow retiming, dynamic power management to control the energy consumption, real-time reconfiguration of streaming image processing filters and memory optimized event image segmentation
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