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

