Architecture exploration of a large scale system

Alliot, S.; Deprettere, E.

doi:10.1109/iwrsp.2004.1311120

Cited by 3 publications

(3 citation statements)

References 4 publications

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“…Model based approaches for designing large scale signal processing systems with a focus on radio telescopes have been previously studied [e.g., see Alliot and Deprettere , 2004; Lemaitre and Deprettere , 2006; Lemaitre , 2008]. Several frameworks have been proposed for model based, high‐level abstractions of architectures along with performance/cost estimation methods to guide the designer throughout the development cycle [see Alliot and Deprettere , 2004]. However, the focus of these approaches has been on architecture exploration.…”

Section: Introductionmentioning

confidence: 99%

Prototyping scalable digital signal processing systems for radio astronomy using dataflow models

Sane¹,

Ford²,

Harris³

et al. 2012

Radio Science

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[1] There is a growing trend toward using high-level tools for design and implementation of radio astronomy digital signal processing (DSP) systems. Such tools, for example, those from the Collaboration for Astronomy Signal Processing and Electronics Research (CASPER), are usually platform-specific, and lack high-level, platform-independent, portable, scalable application specifications. This limits the designer's ability to experiment with designs at a high-level of abstraction and early in the development cycle. We address some of these issues using a model-based design approach employing dataflow models. We demonstrate this approach by applying it to the design of a tunable digital downconverter (TDD) used for narrow-bandwidth spectroscopy. Our design is targeted toward an FPGA platform, called the Interconnect Break-out Board (IBOB), that is available from the CASPER. We use the term TDD to refer to a digital downconverter for which the decimation factor and center frequency can be reconfigured without the need for regenerating the hardware code. Such a design is currently not available in the CASPER DSP library. The work presented in this paper focuses on two aspects. First, we introduce and demonstrate a dataflow-based design approach using the dataflow interchange format (DIF) tool for high-level application specification, and we integrate this approach with the CASPER tool flow. Secondly, we explore the trade-off between the flexibility of TDD designs and the low hardware cost of fixed-configuration digital downconverter (FDD) designs that use the available CASPER DSP library. We further explore this trade-off in the context of a two-stage downconversion scheme employing a combination of TDD or FDD designs.Citation: Sane, N., J. Ford, A. I. Harris, and S. S. Bhattacharyya (2012), Prototyping scalable digital signal processing systems for radio astronomy using dataflow models, Radio Sci., 47, RS3005,

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Section: Introductionmentioning

confidence: 99%

Prototyping scalable digital signal processing systems for radio astronomy using dataflow models

Sane¹,

Ford²,

Harris³

et al. 2012

Radio Science

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show abstract

“…Different parts of the application are specified differently (using imperative languages, finite state machine and/or dataflow models, discrete event languages, etc) depending on the nature of the architecture components they have to be mapped into (programmable, configurable, dedicated, etc. [9]). We assume that we deal with a large-scale and high-throughput signal processing application.…”

Section: Introductionmentioning

confidence: 99%

Requirements for Interfacing IP-Components in Re-configurable Platforms

Lemaitre

Alliot

Deprettere

2006

J VLSI Sign Process Syst Sign Image Video Technol

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When mapping large and high-throughput signal processing applications onto heterogeneous platforms, parts of these applications are assigned to re-configurable components. Automating such mappings without delving deep into details implies the (re-) use of IP components. When it comes to 1) relying on IP components in systemlevel and (re-configurable) platform-based design, and 2) porting of such designs across platforms, it is not well known how to integrate both IP libraries and portability requirements into the design flow. To investigate these uncertainties, we have conducted four case studies around the (re-)use and interfacing of IP components. One is focusing on the porting issue, one is dealing with a new automated task-level mapping method, one is evaluating a HW-SW commercially available co-design method, and one is about standardization of interfaces for IP wrapping. The case studies reveal the weakness of otherwise highly desirable system-level design methods when evaluated with respect to fast, accurate, and systematic IP integration.

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“…This specification can be evaluated and compared with previous results. A more detailed description of the methodology is given in [2].…”

Section: Introductionmentioning

confidence: 99%

Constraints Derivation and Propagation for Large-Scale Embedded Systems Exploration

Nicolae¹,

Deprettere²

2004

Lecture Notes in Computer Science

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Abstract-The translation of user requirements to system constraints and parameters during an exploration exercise is a hard problem, especially in the context of large scale embedded systems. This process is almost never simple and straightforward, and it often requires multidisciplinary skills. The user requirements are not fixed during the exploration stage. Furthermore, the system constraints may vary according to the design choices made in the course of the exploration and development process.In this context, a need for hot-linking the constraints of the architecture to the top-level requirements of the application becomes apparent. We consider the system model as separate hierarchies of application and architecture components, coupled by a mapping layer. We aim towards an automatic derivation of these constraints downwards to all the levels of the hierarchy. Furthermore, we employ a procedure of validation and adjustment of these constraints in the lowest levels, to eliminate possible inconsistencies.

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Architecture exploration of a large scale system

Cited by 3 publications

References 4 publications

Prototyping scalable digital signal processing systems for radio astronomy using dataflow models

Prototyping scalable digital signal processing systems for radio astronomy using dataflow models

Requirements for Interfacing IP-Components in Re-configurable Platforms

Constraints Derivation and Propagation for Large-Scale Embedded Systems Exploration

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