Results 21 to 30 of about 86,318 (259)
Defensive approximation: securing CNNs using approximate computing [PDF]
Proceedings of the 26th ACM International Conference on Architectural Support for Programming Languages and Operating Systems, 2021 ACM International Conference on Architectural Support for Programming Languages and Operating Systems (ASPLOS 2021)
Guesmi, Amira +6 more
openaire +3 more sources
SquASH: Approximate Square-Accumulate With Self-Healing
IEEE Access, 2018 Approximate computing strives to achieve the highest performance-, area-, and power-efficiency for a given quality constraint and vice versa. Conventional approximate design methodology restricts the introduction of errors to avoid a high loss in quality.
G. A. Gillani +5 more
doaj +1 more source
Hierarchical Approximate Bayesian Computation [PDF]
Psychometrika, 2014 Approximate Bayesian computation (ABC) is a powerful technique for estimating the posterior distribution of a model’s parameters. It is especially important when the model to be fit has no explicit likelihood function, which happens for computational (or simulation-based) models such as those that are popular in cognitive neuroscience and other areas ...
Turner, Brandon M., Van Zandt, Trisha
openaire +3 more sources
TAFFO: The compiler-based precision tuner
SoftwareX, 2022 We present taffo, a framework that automatically performs precision tuning to exploit the performance/accuracy trade-off. In order to avoid expensive dynamic analyses, taffo leverages programmer annotations which encapsulate domain knowledge about the ...
Daniele Cattaneo +3 more
doaj +1 more source
Approximate Counting and Quantum Computation [PDF]
Combinatorics, Probability and Computing, 2005 Motivated by the result that an `approximate' evaluation of the Jones polynomial of a braid at a $5^{th}$ root of unity can be used to simulate the quantum part of any algorithm in the quantum complexity class BQP, and results relating BQP to the counting class GapP, we introduce a form of additive approximation which can be used to simulate a function
Bordewich, M. +3 more
openaire +3 more sources
Low Power Neural Network by Reducing SRAM Operating Voltage
IEEE Access, 2022 With advancements in machine learning technology, networks are becoming increasingly complex, and the extent of the computation involved is increasing. Consequently, the computation time and power consumption of the learning process are increased.
Keisuke Kozu +3 more
doaj +1 more source
Circuit Aware Approximate System Design With Case Studies in Image Processing and Neural Networks
IEEE Access, 2019 This paper aims to exploit approximate computing units in image processing systems and artificial neural networks. For this purpose, a general design methodology is introduced, and approximation-oriented architectures are developed for different ...
Tuba Ayhan, Mustafa Altun
doaj +1 more source
Theory and experimental verification of configurable computing with stochastic memristors
Scientific Reports, 2021 The inevitable variability within electronic devices causes strict constraints on operation, reliability and scalability of the circuit design. However, when a compromise arises among the different performance metrics, area, time and energy, variability ...
Rawan Naous +9 more
doaj +1 more source
Approximation Bayesian computation [PDF]
OA Genetics, 2013 Approximation Bayesian computation [ABC] is an analysis approach that has arisen in response to the recent trend to collect data that is of a magnitude far higher than has been historically the case. This has led to many existing methods become intractable because of difficulties in calculating the likelihood function.
openaire +2 more sources
Optimized Inexact adder for Approximate Computing Applications [PDF]
JES: Journal of Engineering SciencesFor appropriate multimedia devices, power consumption should be less and it plays a major role in designing such devices. Image compression methods make use of a variety of signal processing architectures and algorithms.
NARMADHA G +4 more
doaj +1 more source