Results 11 to 20 of about 71,036 (260)

CNN Inference Using a Preprocessing Precision Controller and Approximate Multipliers With Various Precisions

open access: yesIEEE Access, 2021
This article proposes boosting the multiplication performance for convolutional neural network (CNN) inference using a precision prediction preprocessor which controls various precision approximate multipliers.
Issam Hammad   +3 more
doaj   +1 more source

Approximation of multipliers [PDF]

open access: yesProceedings of the American Mathematical Society, 1974
We note some necessary and sufficient conditions concerning norm approximation of Fourier multipliers, and give an example to show that M q ( Z ) {M_q}(Z) , the space of Fourier multipliers of type ( q , q ) (q,q)
Gaudry, Garth I., Inglis, Ian R.
openaire   +1 more source

Quasi delay insensitive implementation of approximate multiplication

open access: yesAin Shams Engineering Journal, 2022
Asynchronous quasi delay insensitive (QDI) implementation of approximate multiplication is described in this article. We consider the array multiplier architecture for a QDI implementation.
Padmanabhan Balasubramanian   +1 more
doaj   +1 more source

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 Multipliers Based on New Approximate Compressors [PDF]

open access: yesIEEE Transactions on Circuits and Systems I: Regular Papers, 2018
Approximate computing is an emerging trend in digital design that trades off the requirement of exact computation for improved speed and power performance. This paper proposes novel approximate compressors and an algorithm to exploit them for the design of efficient approximate multipliers.
Darjn Esposito   +4 more
openaire   +3 more sources

Impact of Approximate Multipliers on VGG Deep Learning Network

open access: yesIEEE Access, 2018
This paper presents a study on the applicability of using approximate multipliers to enhance the performance of the VGGNet deep learning network. Approximate multipliers are known to have reduced power, area, and delay with the cost of an inaccuracy in ...
Issam Hammad, Kamal El-Sankary
doaj   +1 more source

High-performance, energy-efficient, and memory-efficient FIR filter architecture utilizing 8x8 approximate multipliers for wireless sensor network in the Internet of Things

open access: yesMemories - Materials, Devices, Circuits and Systems, 2022
IoT uses wireless sensor networks (WSN) to deploy many sensors to track environmental and physical parameters. The WSN measurements are frequently contaminated and altered by noise.
Charles Rajesh Kumar J.   +2 more
doaj   +1 more source

Approximate Conservation Laws of Nonvariational Differential Equations

open access: yesMathematics, 2019
The concept of an approximate multiplier (integrating factor) is introduced. Such multipliers are shown to give rise to approximate local conservation laws for differential equations that admit a small perturbation.
Sameerah Jamal
doaj   +1 more source

On the Design of Logarithmic Multiplier Using Radix-4 Booth Encoding

open access: yesIEEE Access, 2020
This paper proposes an energy-efficient approximate multiplier which combines radix-4 Booth encoding and logarithmic product approximation. Additionally, a datapath pruning technique is proposed and studied to reduce the hardware complexity of the ...
Ratko Pilipovic, Patricio Bulic
doaj   +1 more source

Approximate 8-bit multipliers and their physical design implementation

open access: yese-Prime: Advances in Electrical Engineering, Electronics and Energy, 2023
Approximate computing is widely used in a large number of error-tolerant applications. Multiplication is an integral arithmetic operation for many of these applications.
Satyajit Mondal, Marimuthu R, Ravi S
doaj   +1 more source

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