Results 21 to 30 of about 428 (244)

Multiplierless approximation of transforms with adder constraint [PDF]

IEEE Signal Processing Letters, 2002
This letter describes an algorithm for systematically finding a multiplierless approximation of transforms by replacing floating-point multipliers with VLSI-friendly binary coefficients of the form k/2/sup n/. Assuming the cost of hardware binary shifters is negligible, the total number of binary adders employed to approximate the transform can be ...
Ying-Jui Chen, Soontorn Oraintara, Trac D. Tran, Kevin Amaratunga, Truong Q. Nguyen   +4 more
openaire   +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

Optimized Inexact adder for Approximate Computing Applications [PDF]

JES: Journal of Engineering Sciences
For 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, DEIVASIGAMANI S, PUGAZHENDIRAN P, PRAKASH P, Jeya Prakash K   +4 more
doaj   +1 more source

Approximate Adder: Lower-Part or Adder

International Journal of Innovative Technology and Exploring Engineering, 2020
High-performance VLSI systems are essential in real-time applications, in order to increase the performance of the VLSI systems, an approximate computing technique is followed where the performance of the circuit is enhanced by trading off it with a slight loss in the accuracy.
openaire   +1 more source

Approximator: A Software Tool for Automatic Generation of Approximate Arithmetic Circuits

Computers, 2022
Approximate arithmetic circuits are an attractive alternative to accurate arithmetic circuits because they have significantly reduced delay, area, and power, albeit at the cost of some loss in accuracy.
Padmanabhan Balasubramanian, Raunaq Nayar, Okkar Min, Douglas L. Maskell   +3 more
doaj   +1 more source

xUAVs: Towards Efficient Approximate Computing for UAVs—Low Power Approximate Adders With Single LUT Delay for FPGA-Based Aerial Imaging Optimization

IEEE Access, 2020
High Definition (HD) image processing and real-time analytics over live video feeds have always been the key requirements for Intelligence, Surveillance and Reconnaissance (ISR) applications. With the evolution of optics and image enhancement techniques,
Tuaha Nomani, Mujahid Mohsin, Zahid Pervaiz, Muhammad Shafique   +3 more
doaj   +1 more source

Deep Neural Networks-Based Weight Approximation and Computation Reuse for 2-D Image Classification

IEEE Access, 2022
Deep Neural Networks (DNNs) are computationally and memory intensive, which present a big challenge for hardware, especially for resource-constrained devices such as Internet-of-Things (IoT) nodes.
Mohammed F. Tolba, Huruy Tekle Tesfai, Hani Saleh, Baker Mohammad, Mahmoud Al-Qutayri   +4 more
doaj   +1 more source

Energy efficient design and implementation of approximate adder for image processing applications [PDF]

Serbian Journal of Electrical Engineering
Approximate computing is a new technique that promises to speed up computations while preserving a level of precision suitable for error-tolerant systems such as neural networks and graphics. At the edge, a lot of computationally complex methods
Naik Jatothu Brahmaiah, Kumar Kanagala Sateesh, Krishnaiah Kondragunta Rama, Koteswararao Seelam   +3 more
doaj   +1 more source

An Approximate Carry Estimating Simultaneous Adder with Rectification [PDF]

Proceedings of the 2020 on Great Lakes Symposium on VLSI, 2020
Approximate computing has in recent times found significant applications towards lowering power, area, and time requirements for arithmetic operations. Several works done in recent years have furthered approximate computing along these directions. In this work, we propose a new approximate adder that employs a carry prediction method.
Rajat Bhattacharjya, Vishesh Mishra, Saurabh Singh, Kaustav Goswami 0002, Dip Sankar Banerjee   +4 more
openaire   +2 more sources

European Standard Clinical Practice Guideline and EXPeRT Recommendations for the Diagnosis and Management of Gastroenteropancreatic Neuroendocrine Neoplasms in Children and Adolescents

Pediatric Blood &Cancer, EarlyView.
ABSTRACT Pediatric gastroenteropancreatic neuroendocrine neoplasms (GEP‐NENs) are extremely rare and clinically heterogeneous. Management has largely been extrapolated from adult practice. This European Standard Clinical Practice Guideline (ESCP), developed by the EXPeRT network in collaboration with adult NEN experts, provides (adult) evidence ...
Michaela Kuhlen, Calogero Virgone, Antje Redlich, Michael Abele, Ricardo Lopez‐Almaraz, Tal Ben‐Ami, Ewa Bien, Gianni Bisogno, Maja Mazic Cesen, Andrea Ferrari, Malgorzata A. Krawczyk, Yves Reguerre, Dominik T. Schneider, Ines B. Brecht, Charlotte Rigaud, Bilgehan Yalcin, Rainer Claus, Christian Vokuhl, Constantin Lapa, Jörg Fuchs, Segolene Hescot, Thomas Walter, Julien Hadoux, Daniel Orbach   +23 more
wiley   +1 more source