Results 21 to 30 of about 808,804 (331)

EERA-ASR: An Energy-Efficient Reconfigurable Architecture for Automatic Speech Recognition With Hybrid DNN and Approximate Computing

open access: yesIEEE 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
doaj   +1 more source

Computing GCRDs of Approximate Differential Polynomials [PDF]

open access: yes, 2014
Differential (Ore) type polynomials with approximate polynomial coefficients are introduced. These provide a useful representation of approximate differential operators with a strong algebraic structure, which has been used successfully in the exact ...
Giesbrecht, Mark, Haraldson, Joseph
core   +1 more source

Approximate Bayesian Computation [PDF]

open access: yesAnnual Review of Statistics and Its Application, 2019
Many of the statistical models that could provide an accurate, interesting, and testable explanation for the structure of a data set turn out to have intractable likelihood functions. The method of approximate Bayesian computation (ABC) has become a popular approach for tackling such models.
Osvaldo A. Martin   +2 more
openaire   +3 more sources

Metrics, Noise Propagation Models, and Design Framework for Floating-Point Approximate Computing

open access: yesIEEE 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
doaj   +1 more source

Approximate Bayesian computational methods [PDF]

open access: yesStatistics and Computing, 2011
7 ...
Marin, Jean-Michel   +3 more
openaire   +4 more sources

AxCEM: Designing Approximate Comparator-Enabled Multipliers

open access: yesJournal 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
doaj   +1 more source

Approximate Counting and Quantum Computation [PDF]

open access: yesCombinatorics, 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

Distributed Methods for Computing Approximate Equilibria [PDF]

open access: yes, 2015
We present a new, distributed method to compute approximate Nash equilibria in bimatrix games. In contrast to previous approaches that analyze the two payoff matrices at the same time (for example, by solving a single LP that combines the two players ...
Czumaj, Artur   +5 more
core   +2 more sources

SquASH: Approximate Square-Accumulate With Self-Healing

open access: yesIEEE 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

TAFFO: The compiler-based precision tuner

open access: yesSoftwareX, 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

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