Design and error analysis of accuracy-configurable sequential multipliers via segmented carry chains
Zusammenfassung
We present the design and a closed-form error analysis of accuracy-configurable multipliers via segmented carry chains. To address this problem, we model the approximate partial-product accumulations as a sequential process. According to a given splitting point of the carry chains, the technique herein discussed allows varying the quality of the accumulations and, consequently, the overall product. Due to these shorter critical paths, such kinds of approximate multipliers can trade-off accuracy for an increased performance whilst exploiting the inherent area savings of sequential over combinatorial approaches. We implemented multiple architectures targeting FPGAs and ASICs with different bit-widths and accuracy configurations to 1) estimate resources, power consumption, and delay, as well as to 2) evaluate those error metrics that belong to the so-called #P-complete class.
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- BibTeX
Echavarria, J., Wildermann, S., Keszocze, O., Khosravi, F., Becher, A. & Teich, J.,
(2022).
Design and error analysis of accuracy-configurable sequential multipliers via segmented carry chains.
it - Information Technology: Vol. 64, No. 3.
Berlin:
De Gruyter.
(S. 89-98).
DOI: 10.1515/itit-2021-0040
@article{mci/Echavarria2022,
author = {Echavarria, Jorge AND Wildermann, Stefan AND Keszocze, Oliver AND Khosravi, Faramarz AND Becher, Andreas AND Teich, Jürgen},
title = {Design and error analysis of accuracy-configurable sequential multipliers via segmented carry chains},
journal = {it - Information Technology},
volume = {64},
number = {3},
year = {2022},
,
pages = { 89-98 } ,
doi = { 10.1515/itit-2021-0040 }
}
author = {Echavarria, Jorge AND Wildermann, Stefan AND Keszocze, Oliver AND Khosravi, Faramarz AND Becher, Andreas AND Teich, Jürgen},
title = {Design and error analysis of accuracy-configurable sequential multipliers via segmented carry chains},
journal = {it - Information Technology},
volume = {64},
number = {3},
year = {2022},
,
pages = { 89-98 } ,
doi = { 10.1515/itit-2021-0040 }
}
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Mehr Information
ISSN: 2196-7032
Datum: 2022
Sprache:
(en)
(en)
Typ: Text/Journal Article

