Results 11 to 20 of about 86,318 (259)
Approximate analog computing with metatronic circuits
Communications Physics, 2021 All-optical platforms hold potential for fast and efficient analog computing, but are limited by their size and poor reconfigurability. Here, a zero-index nanophotonic platform enables post-Moore’s law analog optical computing, processing data with high ...
Mario Miscuglio +8 more
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Measuring Traffic Dynamics at the Edge
Uniciencia, 2022 This work aims to measure the impact of approximate computing on a case study of traffic dynamics metering on a System-on-Chip edge computing device. Firstly, the study proposes a baseline implementation of the metering system in C++.
Luis Gerardo León-Vega +1 more
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Multifidelity Approximate Bayesian Computation [PDF]
SIAM/ASA Journal on Uncertainty Quantification, 2020 25 pages plus Supplementary Material (as appendices)
Prescott, T, Baker, R
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Multi-Objective Application-Driven Approximate Design Method
IEEE Access, 2021 Approximate Computing (AxC) paradigm aims at designing computing systems that can satisfy the rising performance demands and improve the energy efficiency. AxC exploits the gap between the level of accuracy required by the users, and the actual precision
Salvatore Barone +3 more
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Design and Analysis of Low-Power and High Speed Approximate Adders Using CNFETs
Sensors, 2021 Adders are constituted as the fundamental blocks of arithmetic circuits and are considered important for computation devices. Approximate computing has become a popular and developing area, promising to provide energy-efficient circuits with low power ...
Avireni Bhargav, Phat Huynh
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IEEE Access, 2018 This paper proposes a hybrid deep neural network (DNN) for automatic speech recognition and an energy-efficient reconfigurable architecture with approximate computing for accelerating the DNN.
Bo Liu +5 more
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Approximate Bayesian Computation
PLoS Computational Biology, 2013 ISSN:1553 ...
Mikael Sunnåker +5 more
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Metrics, Noise Propagation Models, and Design Framework for Floating-Point Approximate Computing
IEEE Access, 2021 Approximate computing has emerged as an efficient solution for energy saving at the expense of calculation accuracy, especially for floating-point operation intensive applications, which have urgent demands for some uniform design frameworks for floating-
Yiyao Xiang +4 more
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AxCEM: Designing Approximate Comparator-Enabled Multipliers
Journal of Low Power Electronics and Applications, 2020 Floating-point multipliers have been the key component of nearly all forms of modern computing systems. Most data-intensive applications, such as deep neural networks (DNNs), expend the majority of their resources and energy budget for floating-point ...
Samar Ghabraei +3 more
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BDD minimization for approximate computing [PDF]
2016 21st Asia and South Pacific Design Automation Conference (ASP-DAC), 2016 We present Approximate BDD Minimization (ABM) as a problem that has application in approximate computing. Given a BDD representation of a multi-output Boolean function, ABM asks whether there exists another function that has a smaller BDD representation but meets a threshold w.r.t. an error metric.
Mathias Soeken +3 more
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