Results 1 to 10 of about 6,197 (262)

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

IEEE 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, Ling Li, Kamal El-Sankary, W. Martin Snelgrove   +3 more
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

Memories - 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., D. Vinod Kumar, M.A. Majid   +2 more
doaj   +1 more source

Power and area efficient FIR filter architecture in digital encephalography systems

e-Prime: Advances in Electrical Engineering, Electronics and Energy, 2023
In the process of Electroencephalogram (EEG) acquisition, the electrical signals from the brain are contaminated by numerous noise sources and artifacts.
Sudhanshu Janwadkar, Rasika Dhavse
doaj   +1 more source

A low‐cost compensated approximate multiplier for Bfloat16 data processing on convolutional neural network inference

ETRI Journal, 2021
This paper presents a low‐cost two‐stage approximate multiplier for bfloat16 (brain floating‐point) data processing. For cost‐efficient approximate multiplication, the first stage implements Mitchell's algorithm that performs the approximate ...
HyunJin Kim
doaj   +1 more source

Stability of multipliers on Banach algebras

International Journal of Mathematics and Mathematical Sciences, 2004
Suppose A is a Banach algebra without order. We show that an approximate multiplier T:A→A is an exact multiplier. We also consider an approximate multiplier T on a Banach algebra which need not be without order.
Takeshi Miura, Go Hirasawa, Sin-Ei Takahasi   +2 more
doaj   +1 more source

MACISH: Designing Approximate MAC Accelerators With Internal-Self-Healing

IEEE Access, 2019
Approximate computing studies the quality-efficiency trade-off to attain a best-efficiency (e.g., area, latency, and power) design for a given quality constraint and vice versa.
G. A. Gillani, M. A. Hanif, B. Verstoep, S. H. Gerez, M. Shafique, A. B. J. Kokkeler   +5 more
doaj   +1 more source

Approximation of Fourier Integral Operators by Gabor Multipliers [PDF]

Journal of Fourier Analysis and Applications, 2012
22 ...
Elena Cordero, Karlheinz Gröchenig, NICOLA, FABIO   +2 more
openaire   +4 more sources

Error Analysis of Approximate Array Multipliers

CoRR, 2019
Approximate computing is a nascent energy-efficient computing paradigm suitable for error-tolerant applications. However, the value of approximation error depends on the applied inputs where individual output error may reach intolerable level while the average output error is acceptable.
Mahmoud Masadeh, Osman Hasan, Sofiène Tahar   +2 more
openaire   +2 more sources

A Hardware/Software Co-Design Methodology for Adaptive Approximate Computing in clustering and ANN Learning

IEEE Open Journal of the Computer Society, 2021
As one of the most promising energy-efficient emerging paradigms for designing digital systems, approximate computing has attracted a significant attention in recent years.
Pengfei Huang, Chenghua Wang, Weiqiang Liu, Fei Qiao, Fabrizio Lombardi   +4 more
doaj   +1 more source

Approximate Multiplier Design Using Novel Dual-Stage 4:2 Compressors

IEEE Access, 2020
High speed multimedia applications have paved way for a whole new area in high speed error-tolerant circuits with approximate computing. These applications deliver high performance at the cost of reduction in accuracy.
Pranose J. Edavoor, Sithara Raveendran, Amol D. Rahulkar   +2 more
doaj   +1 more source