Zobrazeno 1 - 10
of 959
pro vyhledávání: '"Hardware accelerators"'
Autor:
Yan Chen, Kiyofumi Tanaka
Publikováno v:
IEEE Access, Vol 12, Pp 187587-187603 (2024)
As Convolutional Neural Networks (CNN) have become widely used, numerous accelerators have been designed, which are mainly divided into two architectures: Overlay architecture with a single Processing Element (PE) array and Dataflow architecture with
Externí odkaz:
https://doaj.org/article/29f903b8a31843028c0dd59fd407acf9
Autor:
Luca Urbinati, Mario R. Casu
Publikováno v:
IEEE Access, Vol 12, Pp 44163-44189 (2024)
Precison-scalable (PS) multipliers are gaining traction in Deep Neural Network accelerators, particularly for enabling mixed-precision (MP) quantization in Deep Learning at the edge. This paper focuses on the Sum-Together (ST) class of PS multipliers
Externí odkaz:
https://doaj.org/article/3e0143af0bda4fb68c31d55f1e71cbe4
Publikováno v:
IEEE Open Journal of Circuits and Systems, Vol 5, Pp 28-41 (2024)
The high speed, scalability, and parallelism offered by ReRAM crossbar arrays foster the development of ReRAM-based next-generation AI accelerators. At the same time, the sensitivity of ReRAM to temperature variations decreases $\text{R}_{ON}/\text{R
Externí odkaz:
https://doaj.org/article/6ea17a54a9144fa488be82ce4e165a81
Autor:
Lorenzo Diana, Pierpaolo Dini
Publikováno v:
Remote Sensing, Vol 16, Iss 21, p 3957 (2024)
Neural networks (NNs) have proven their ability to deal with many computer vision tasks, including image-based remote sensing such as the identification and segmentation of hyperspectral images captured by satellites. Often, NNs run on a ground syste
Externí odkaz:
https://doaj.org/article/16888d5005a741acb3ad7776fd04ac6d
Autor:
Hoyer Ingo, Roßman Özgü, Utz Alexander, Straczek Lukas, Akboyraz Onur, Hessel Sebastian, Lüdecke André, Seidl Karsten
Publikováno v:
Current Directions in Biomedical Engineering, Vol 9, Iss 1, Pp 327-330 (2023)
Atrial fibrillation (AF) is a common heart arrhythmia and is closely associated with causing strokes. Diagnosis is usually performed with Holter monitors over longer periods of time, causing discomfort to the patient. The proposed mixed-signal integr
Externí odkaz:
https://doaj.org/article/f19d7c02e74041beb078582ea368f0c0
Autor:
Maciej Rosół, Wojciech Kula
Publikováno v:
Energies, Vol 17, Iss 11, p 2626 (2024)
System health monitoring (SHM) of a ball screw laboratory system using an embedded real-time platform based on Field-Programmable Gate Array (FPGA) technology was developed. The ball screw condition assessment algorithms based on machine learning app
Externí odkaz:
https://doaj.org/article/906fd051b5bb445f902a62a55b5c40c8
Publikováno v:
IEEE Access, Vol 11, Pp 116944-116955 (2023)
The primary objective of this paper is to present an exact and general procedure for mapping any sequence of quantum gates onto a network of probabilistic p-bits which can take on one of two values 0 and 1. The first $n$ p-bits represent the input qu
Externí odkaz:
https://doaj.org/article/ca986b9a49ec446a9d1746bb22ec6723
Publikováno v:
IEEE Access, Vol 11, Pp 33768-33791 (2023)
During the last few years, hardware accelerators have been gaining popularity thanks to their ability to achieve higher performance and efficiency than classic general-purpose solutions. They are fundamentally shaping the current generations of Syste
Externí odkaz:
https://doaj.org/article/cba06382dc3e4b1aa19b3bf616b7230d
Autor:
Mahmoud, Karim
Deep neural network (DNN) hardware accelerators are critical enablers of the current resurgence in machine learning technologies. Adopting machine learning in safety-critical systems imposes additional reliability requirements on hardware design. Add
Externí odkaz:
http://hdl.handle.net/11375/30641
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