Methodology for the implementation of real-time image processing systems using FPGAs and GPUs and their integration in EPICS using Nominal Device Support-Reference-Cited by-同舟云学术

Methodology for the implementation of real-time image processing systems using FPGAs and GPUs and their integration in EPICS using Nominal Device Support

Published:2018-05 Issue: Volume:130 Page:26-31
ISSN:0920-3796
Container-title:Fusion Engineering and Design
language:en
Short-container-title:Fusion Engineering and Design

Author:

Esquembri S.,Nieto J.,Ruiz M.,de Gracia A.,de Arcas G.

Publisher

Elsevier BV

Subject

Mechanical Engineering,General Materials Science,Nuclear Energy and Engineering,Civil and Structural Engineering

Reference15 articles.

1. Integrated software for imaging data analysis applied to edge plasma physic and operational safety;Martin;Fusion Eng. Des.,2011

2. Upper wide-angle viewing system for ITER;Lasniuer;Rev. Sci. Instrum.,2016

3. Prototyping control and data acquisition for ITER neutral beam test facility;Luchetta;IEEE Trans. Nucl. Sci.,2013

4. High-performance image acquisition and processing system with MTCA;Makowski;Real Time Conference (RT), 2014 19th IEEE-NPSS,2014

5. Methodology for the Integration of High-Throughput Data and Image Acquisition Systems in EPICS;Esquembri Martínez,2017

Cited by 8 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Acceleration of an Algorithm Based on the Maximum Likelihood Bolometric Tomography for the Determination of Uncertainties in the Radiation Emission on JET Using Heterogeneous Platforms;Applied Sciences;2022-07-05

2. Computer Artificial Vision Image Processing System Based on FPGA;Lecture Notes on Data Engineering and Communications Technologies;2021-09-27

3. Application of Heterogeneous Computing Techniques for the Development of an Image-Based Hot Spot Detection System Using MTCA;IEEE Transactions on Nuclear Science;2021-08

4. Employing Parallel Hardware Architectures to Diagnose Sickle Cell Anemia in Real-Time Basis;Recent Trends in Signal and Image Processing;2021

5. Architecturally truly diverse systems: A review;Future Generation Computer Systems;2020-09