Results 11 to 20 of about 55,999 (288)

Fast calculation of HELAS amplitudes using graphics processing unit (GPU) [PDF]

open access: yesThe European Physical Journal C, 2010
We use the graphics processing unit (GPU) for fast calculations of helicity amplitudes of physics processes. As our first attempt, we compute $u\bar{u}\to n\gamma$ ($n=2$ to 8) processes in $pp$ collisions at $\sqrt{s} = 14$TeV by transferring the ...
Hagiwara, K.   +4 more
core   +4 more sources

Underwater Image Processing using Graphics Processing Unit (GPU) [PDF]

open access: yesITM 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
doaj   +2 more sources

Implementation of Airy function using Graphics Processing Unit (GPU) [PDF]

open access: yesITM 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
doaj   +2 more sources

Graphics processing unit (GPU) aided wavefront-based autofocusing in microscopy [PDF]

open access: yesAIP 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
doaj   +2 more sources

Fast computation of MadGraph amplitudes on graphics processing unit (GPU) [PDF]

open access: yesThe European Physical Journal C, 2013
Continuing our previous studies on QED and QCD processes, we use the graphics processing unit (GPU) for fast calculations of helicity amplitudes for general Standard Model (SM) processes.
Hagiwara, K.   +4 more
core   +2 more sources

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]

open access: yesSHS 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
doaj   +1 more source

Scalable and lightweight deep learning for efficient high accuracy single-molecule localization microscopy [PDF]

open access: yesNature Communications
Deep 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
doaj   +2 more sources

Analysis of GPU Computation of Parabolic, Bessel, Wright and Riemann Zeta Functions [PDF]

open access: yesITM 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
doaj   +1 more source

Efficient parallel Levenberg-Marquardt model fitting towards real-time automated parametric imaging microscopy. [PDF]

open access: yesPLoS 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
doaj   +1 more source

Computationally Efficient Tsunami Modeling on Graphics Processing Units (GPUs) [PDF]

open access: yesInternational Journal of Offshore and Polar Engineering, 2016
Tsunamis generated by earthquakes commonly propagate as long waves in the deep ocean and develop into sharp-fronted surges moving rapidly towards the coast in shallow water, which may be effectively simulated by hydrodynamic models solving the nonlinear shallow water equations (SWEs).
Reza Amouzgar   +4 more
openaire   +3 more sources

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