2017
DOI: 10.1109/tcad.2017.2666607
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Improved Range Analysis in Fixed-Point Polynomial Data-Path

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Cited by 6 publications
(4 citation statements)
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“…In this paper, a Buck and a Full-bridge converters' models are proposed, which can be implemented in FPGAs to compare different design alternatives for both FlP and FxP numerical formats. Word length optimization for the FxP format has been studied to avoid overflows, optimize the hardware, and keep the accuracy [46,47]. The main contribution of this paper is the comparison of the synthesis results obtained by different design approaches for implementing the same model, regardless of the used signal format, to reveal the differences between several design alternatives.…”
Section: Regarding Resolution Sp Flp Should Have Enough Resolution For Most Applicationsmentioning
confidence: 99%
“…In this paper, a Buck and a Full-bridge converters' models are proposed, which can be implemented in FPGAs to compare different design alternatives for both FlP and FxP numerical formats. Word length optimization for the FxP format has been studied to avoid overflows, optimize the hardware, and keep the accuracy [46,47]. The main contribution of this paper is the comparison of the synthesis results obtained by different design approaches for implementing the same model, regardless of the used signal format, to reveal the differences between several design alternatives.…”
Section: Regarding Resolution Sp Flp Should Have Enough Resolution For Most Applicationsmentioning
confidence: 99%
“…In the flattening-based method, the window size and the resolution are considered ( , ε) = (10,1). As illustrated in the table, the ranges are under-estimated in all benchmarks.…”
Section: Resultsmentioning
confidence: 99%
“…Static analysis, however, uses static characteristics of the inputs which are propagated through the system. So, it has recently gained much interest due to safety, no data dependency, and higher efficiency [1][2][3][4][5][6][7][8]. In static analysis, one of the most significant categories is self-validated numerical (SVN) methods.…”
Section: Related Workmentioning
confidence: 99%
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