2012 Design, Automation &Amp; Test in Europe Conference &Amp; Exhibition (DATE) 2012
DOI: 10.1109/date.2012.6176571
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Design of streaming applications on MPSoCs using abstract clocks

Abstract: This paper presents a cost-effective and formal approach to model and analyze streaming applications on multiprocessor systems-on-chip (MPSoCs). This approach enables to address time requirements, mapping of applications on MPSoCs and system behavior correctness by using abstract clocks of synchronous languages. Compared to usual prototyping and simulation techniques, it is very fast and favors correctness-byconstruction. No coding is needed to run and analyze a system, which avoids tedious debugging efforts. … Show more

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Cited by 5 publications
(3 citation statements)
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“…Regarding affine relations, a subclass of affine relations between abstract clocks was used in [14] to address time requirements of streaming applications on multiprocessor systems on chip. The whole class of affine relations is used in this paper.…”
Section: Related Workmentioning
confidence: 99%
“…Regarding affine relations, a subclass of affine relations between abstract clocks was used in [14] to address time requirements of streaming applications on multiprocessor systems on chip. The whole class of affine relations is used in this paper.…”
Section: Related Workmentioning
confidence: 99%
“…Thanks to its high abstraction level, it favors a rapid system prototyping. A preliminary work of part of this paper has been presented in [4]. A comparison of our approach with cycle-accurate simulations is shown for the motion JPEG decoder.…”
Section: Introductionmentioning
confidence: 99%
“…We are mainly interested in affine transformation of abstract clocks [37] which enjoy a canonical form and some useful mathematical properties. A subclass of affine relations between abstract clocks was used in [21] to address time requirements of streaming applications on multiprocessor systems on chip. Recently, affine relations are used in [13] to construct EDF schedules of dataflow graphs.…”
Section: Related Workmentioning
confidence: 99%