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1 Ergebnisse
1
A Statistical Evaluation Method to Quantify the Runtime Unc..:
, In:
2023 International Symposium of Electronics Design Automation (ISEDA)
,
Huang, Shuaibo
;
Shi, Longxing
- p. 209-212 , 2023
Link:
https://doi.org/10.1109/ISEDA59274.2023.10218618
RT T1
2023 International Symposium of Electronics Design Automation (ISEDA)
: T1
A Statistical Evaluation Method to Quantify the Runtime Uncertainty of Accelerator-rich SoC Targeting EDA Acceleration
UL https://suche.suub.uni-bremen.de/peid=ieee-10218618&Exemplar=1&LAN=DE A1 Huang, Shuaibo A1 Shi, Longxing YR 2023 K1 Resistance K1 Economics K1 Uncertainty K1 Runtime K1 Design automation K1 Estimation K1 Predictive models K1 domain-specific accelerator K1 architectural risk K1 statistical model K1 least square boosting regression K1 uncertainty quantification K1 EDA acceleration SP 209 OP 212 LK http://dx.doi.org/https://doi.org/10.1109/ISEDA59274.2023.10218618 DO https://doi.org/10.1109/ISEDA59274.2023.10218618 SF ELIB - SuUB Bremen
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