Results 11 to 20 of about 3,987,318 (283)

DuctiLoc: Energy-Efficient Location Sampling With Configurable Accuracy

open access: yesIEEE Access, 2023
Mobile device tracking technologies based on various positioning systems have made location data collection ubiquitous. The frequency at which location samples are recorded varies across applications, yet it is usually pre-defined and fixed, resulting in
Panagiota Katsikouli   +4 more
doaj   +5 more sources

Runtime Configurable Deep Neural Networks for Energy-Accuracy Trade-off [PDF]

open access: yesProceedings of the Eleventh IEEE/ACM/IFIP International Conference on Hardware/Software Codesign and System Synthesis, 2016
We present a novel dynamic configuration technique for deep neural networks that permits step-wise energy-accuracy trade-offs during runtime. Our configuration technique adjusts the number of channels in the network dynamically depending on response time,
Bahar, R. Iris   +3 more
core   +4 more sources

AMCAL: Approximate Multiplier With the Configurable Accuracy Levels for Image Processing and Convolutional Neural Network

open access: yesIEEE Access
Multiplication is a necessary arithmetic operation in signal processing and machine learning algorithms. This paper proposes a novel method called Approximate Multiplier with Configurable Accuracy Levels (AMCAL) to obtain energy and area savings.
Reza Zendegani, Saeed Safari
doaj   +2 more sources

A simple yet efficient accuracy configurable adder design

open access: yesIEEE Transactions on Very Large Scale Integration (VLSI) Systems, 2017
Approximate computing is a promising approach for low-power IC design and has recently received considerable research attention. To accommodate dynamic levels of approximation, a few accuracy-configurable adder (ACA) designs have been developed in the past.
Wenbin Xu, S. Sapatnekar, Jiang Hu
semanticscholar   +3 more sources

Design Exploration of Energy-Efficient Accuracy-Configurable Dadda Multipliers With Improved Lifetime Based on Voltage Overscaling

open access: yesIEEE Transactions on Very Large Scale Integration (VLSI) Systems, 2020
This article investigates an energy-efficient accuracy-configurable Dadda (X-Dadda) multiplier. The structure employs the voltage overscaling and approximate width setting as the approximation knobs for improving the energy consumption as well as the ...
H. Afzali-Kusha   +3 more
semanticscholar   +3 more sources

Runtime Efficiency-Accuracy Tradeoff Using Configurable Floating Point Multiplier

open access: yesIEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems, 2020
Many applications, such as machine learning and sensor data analysis, are statistical in nature and can tolerate some level of inaccuracy in their computation.
Daniel Peroni, M. Imani, Tajana Rosing
semanticscholar   +2 more sources

A Simple Yet Efficient Accuracy-Configurable Adder Design

open access: yesIEEE Transactions on Very Large Scale Integration (VLSI) Systems, 2018
Approximate computing is a promising approach for low-power IC design and has recently received considerable research attention. To accommodate dynamic levels of approximation, a few accuracy-configurable adder (ACA) designs have been developed in the ...
Wenbin Xu, S. Sapatnekar, Jiang Hu
semanticscholar   +3 more sources

An Energy-Efficient Generic Accuracy Configurable Multiplier Based on Block-Level Voltage Overscaling [PDF]

open access: yesIEEE Transactions on Emerging Topics in Computing, 2023
Voltage Overscaling (VOS) is one of the well-known techniques to increase the energy efficiency of arithmetic units. Also, it can provide significant lifetime improvements, while still meeting the accuracy requirements of inherently error-resilient ...
A. Bahoo, O. Akbari, Muhammad Shafique
semanticscholar   +1 more source

An Accuracy Dynamically Configurable FFT Processor Based on Approximate Computing

open access: yesShanghai Jiaotong Daxue xuebao, 2022
In order to meet the different requirements of circuit targets in various scenarios, an accuracy configurable fast Fourier transform (FFT) processor based on the concept of approximate circuit is proposed.
MA Liping, ZHANG Xiaoyu, BAI Yuxin, CHEN Xin, ZHANG Ying
doaj   +1 more source

Lightweight semantic segmentation network with configurable context and small object attention

open access: yesFrontiers in Computational Neuroscience, 2023
The current semantic segmentation algorithms suffer from encoding feature distortion and small object feature loss. Context information exchange can effectively address the feature distortion problem, but it has the issue of fixed spatial range ...
Chunyu Zhang   +3 more
doaj   +1 more source

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