Probabilistic estimation of the application-level impact of precision scaling in approximate computing applications
Sign Up to like & getrecommendations! Published in 2019 at "Microelectronics Reliability"
DOI: 10.1016/j.microrel.2019.06.002
Abstract: Abstract The introduction of Approximate Computing (AxC) into software allows achieving several optimizations such as performance improvement, energy reduction, and area reduction by paying with a decreased precision of the computed results. In order to… read more here.
Keywords: application level; approximation; approximate computing; application ... See more keywords
An approximate-computing empowered green 6G downlink
Sign Up to like & getrecommendations! Published in 2021 at "Physical Communication"
DOI: 10.1016/j.phycom.2021.101444
Abstract: Abstract Approximate computing (AC) is an emerging embedded computing paradigm whereby accurate arithmetic units (i.e., adders and multipliers) of a computing platform (e.g., CPU, FPGA, ASIC etc.) are replaced by their inexact counterparts. For the… read more here.
Keywords: approximate; empowered green; computing empowered; downlink ... See more keywords
Analysis and Design of a Passive Switched-Capacitor Matrix Multiplier for Approximate Computing
Sign Up to like & getrecommendations! Published in 2017 at "IEEE Journal of Solid-State Circuits"
DOI: 10.1109/jssc.2016.2599536
Abstract: A switched-capacitor matrix multiplier is presented for approximate computing and machine learning applications. The multiply-and-accumulate operations perform discrete-time charge-domain signal processing using passive switches and 300 aF unit capacitors. The computation is digitized with a… read more here.
Keywords: approximate computing; matrix multiplier; switched capacitor; capacitor matrix ... See more keywords
mARGOt: A Dynamic Autotuning Framework for Self-Aware Approximate Computing
Sign Up to like & getrecommendations! Published in 2019 at "IEEE Transactions on Computers"
DOI: 10.1109/tc.2018.2883597
Abstract: In the autonomic computing context, the system is perceived as a set of autonomous elements capable of self-management, where end-users define high-level goals and the system shall adapt to achieve the desired behaviour. Runtime adaptation… read more here.
Keywords: dynamic autotuning; application; margot dynamic; approximate computing ... See more keywords
An Efficient BCNN Deployment Method Using Quality-Aware Approximate Computing
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems"
DOI: 10.1109/tcad.2022.3197509
Abstract: As the artificial intelligence and Internet of Things (AIoT) develop rapidly, the deployment of artificial neural networks in edge computing is becoming significant with great challenge. The binarized convolutional neural network (BCNN) is one of… read more here.
Keywords: quality; bcnn deployment; approximate computing; design ... See more keywords
A Compact Hardware Architecture for Bilateral Filter With the Combination of Approximate Computing and Look-Up Table
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Transactions on Circuits and Systems II: Express Briefs"
DOI: 10.1109/tcsii.2022.3159261
Abstract: Bilateral filter (BF) is a widely applied method for image denoising due to the characteristic of edge-preserving. This brief presents a super-compact hardware architecture for the BF by a piecewise approximate computing algorithm. The contributions… read more here.
Keywords: hardware architecture; bilateral filter; approximate computing; compact hardware ... See more keywords
A Reconfigurable Approximate Computing Architecture With Dual-VDD for Low-Power Binarized Weight Network Deployment
Sign Up to like & getrecommendations! Published in 2023 at "IEEE Transactions on Circuits and Systems II: Express Briefs"
DOI: 10.1109/tcsii.2022.3196045
Abstract: Approximate computing (AC) is an innovative paradigm for error-resilient signal processing applications. Addition is often a fundamental function for many of these applications. Particularly, binarized weight network (BWN) eliminates the multiplication by quantizing the weight… read more here.
Keywords: binarized weight; power; approximate computing; computing architecture ... See more keywords
FTxAC: Leveraging the Approximate Computing Paradigm in the Design of Fault-Tolerant Embedded Systems to Reduce Overheads
Sign Up to like & getrecommendations! Published in 2021 at "IEEE Transactions on Emerging Topics in Computing"
DOI: 10.1109/tetc.2020.2986235
Abstract: The technological scaling has made electronic devices more susceptible to radiation-induced faults. To mitigate these faults, researchers have proposed different techniques at the software, hardware, and hybrid levels. Although some of these techniques are very… read more here.
Keywords: computing paradigm; fault tolerant; design fault; reduce overheads ... See more keywords