Underwater Image Processing using Graphics Processing Unit (GPU) [PDF]
ITM Web of Conferences, 2020 Image processing is a method used for enhancement of an image or to extract some useful information from the image. It is a type of signal processing in which input is an image and output may be an image or any characteristics/features associated with ...
Ottapura Sayooj +3 more
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Graphics processing unit (GPU) programming strategies and trends in GPU computing [PDF]
Journal of Parallel and Distributed Computing, 2013 Over the last decade, there has been a growing interest in the use of graphics processing units (GPUs) for non-graphics applications. From early academic proof-of-concept papers around the year 2000, the use of GPUs has now matured to a point where there are countless industrial applications. Together with the expanding use of GPUs, we have also seen a
André Brodtkorb +1 more
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Graphics processing unit (GPU) aided wavefront-based autofocusing in microscopy
AIP Advances, 2018 Based on the wavefront sensing and propagation, the wavefront-based autofocus approach is proposed for potentially adopted in rapid autofocusing since it can precisely locate the focal plane but only requiring much fewer multi-focal image captures ...
Zhilong Jiang +4 more
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Exploring Graphics Processing Unit (GPU) Resource Sharing Efficiency for High Performance Computing
Computers, 2013 The increasing incorporation of Graphics Processing Units (GPUs) as accelerators has been one of the forefront High Performance Computing (HPC) trends and provides unprecedented performance; however, the prevalent adoption of the Single-Program Multiple ...
Teng Li +2 more
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Comparative study of the implementation of the Lagrange interpolation algorithm on GPU and CPU using CUDA to compute the density of a material at different temperatures [PDF]
SHS Web of Conferences, 2021 Graphics Processing Units (GPUs) are microprocessors attached to graphics cards, which are dedicated to the operation of displaying and manipulating graphics data. Currently, such graphics cards (GPUs) occupy all modern graphics cards.
Rtal Youness, Hadjoudja Abdelkader
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Scalable and lightweight deep learning for efficient high accuracy single-molecule localization microscopy [PDF]
Nature CommunicationsDeep learning has significantly improved the performance of single-molecule localization microscopy (SMLM), but many existing methods remain computationally intensive, limiting their applicability in high-throughput settings. To address these challenges,
Yue Fei +6 more
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Implementation of Airy function using Graphics Processing Unit (GPU) [PDF]
ITM Web of Conferences, 2020 Special mathematical functions are an integral part of Fractional Calculus, one of them is the Airy function. But it’s a gruelling task for the processor as well as system that is constructed around the function when it comes to evaluating the special ...
Keluskar Yugesh C. +3 more
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Analysis of GPU Computation of Parabolic, Bessel, Wright and Riemann Zeta Functions [PDF]
ITM Web of Conferences, 2021 This paper deals with GPU computing of special mathematical functions that are used in Fractional Calculus. The graphics processing unit (GPU) has grown to be an integral part of nowadays’s mainstream computing structures.
Jadhav Ashish A. +4 more
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Efficient parallel Levenberg-Marquardt model fitting towards real-time automated parametric imaging microscopy. [PDF]
PLoS ONE, 2013 We present a fast, accurate and robust parallel Levenberg-Marquardt minimization optimizer, GPU-LMFit, which is implemented on graphics processing unit for high performance scalable parallel model fitting processing.
Xiang Zhu, Dianwen Zhang
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A Heterogeneous Parallel Algorithm for Euler-Lagrange Simulations of Liquid in Supersonic Flow
Applied Sciences, 2023 In spite of its prevalent usage for simulating the full-field process of the two-phase flow, the Euler–Lagrange method suffers from a heavy computing burden.
Xu Liu +7 more
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