Results 41 to 50 of about 401,991 (182)
Application of an Improved GPU Acceleration Strategy for the Smoothed Particle Hydrodynamics Method
Shanghai Jiaotong Daxue xuebao, 2023 In order to solve the problem of graphics processing unit (GPU) memory access conflicts possibly caused by the disorder of particles and enhance the computation efficiency, an improved GPU acceleration strategy is proposed by establishing particle ...
GUAN Yanmin, YANG Caihong, KANG Zhuang, ZHOU Li
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A Novel GPU-Based Acceleration Algorithm for a Longwave Radiative Transfer Model
Applied Sciences, 2020 Graphics processing unit (GPU)-based computing for climate system models is a longstanding research area of interest. The rapid radiative transfer model for general circulation models (RRTMG), a popular atmospheric radiative transfer model, can calculate
Yuzhu Wang +3 more
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An efficient quantum circuit implementation of Shor’s algorithm for GPU accelerated simulation
AIP AdvancesIn this study, we introduce a novel implementation of Shor’s algorithm specifically designed for the Graphics Processing Unit (GPU) acceleration framework.
XinJian Tan, Peng Gao
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GPU-accelerated feature tracking
2016 IEEE National Aerospace and Electronics Conference (NAECON) and Ohio Innovation Summit (OIS), 2016 The motivation of this research is to prove that Graphics Processing Units (GPUs) can provide significant speedup of long-executing image processing algorithms by way of parallelization and data throughput. This research accelerates the Kanade-Lucas-Tomasi (KLT) feature tracking algorithm using OpenCL.
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GPU accelerated particle visualization with Splotch [PDF]
Astronomy and Computing, 2014 Splotch is a rendering algorithm for exploration and visual discovery in particle-based datasets coming from astronomical observations or numerical simulations. The strengths of the approach are production of high quality imagery and support for very large-scale datasets through an effective mix of the OpenMP and MPI parallel programming paradigms ...
Marzia Rivi +4 more
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Intra-GPU Concurrency in BiCGStab Solvers: Leveraging CUDA Streams for Kernel-Level Parallelism
ComputationThe Biconjugate Gradient Stabilized (BiCGStab) algorithm is a widely used iterative method for solving large, sparse, and non-symmetric linear systems in scientific and engineering applications.
Ayaz H. Khan
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Accelerating advanced MRI reconstructions on GPUs [PDF]
Journal of Parallel and Distributed Computing, 2008 Computational acceleration on graphics processing units (GPUs) can make advanced magnetic resonance imaging (MRI) reconstruction algorithms attractive in clinical settings, thereby improving the quality of MR images across a broad spectrum of applications. This paper describes the acceleration of such an algorithm on NVIDIA's Quadro FX 5600.
Sam S. Stone +5 more
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Higher-order CFD and Interface Tracking Methods on Highly-Parallel MPI and GPU systems [PDF]
, 2011 A computational investigation of the effects on parallel performance of higher-order accurate schemes was carried out on two different computational systems: a traditional CPU based MPI cluster and a system of four Graphics Processing Units (GPUs ...
Appleyard, J. +4 more
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Parallel Computing Method of Commonly Used Interpolation Algorithms for Remote Sensing Images
IEEE Journal of Selected Topics in Applied Earth Observations and Remote SensingParallel computing is a common method to accelerate remote sensing image processing. This article briefly describes six commonly used interpolation functions and studies three commonly used parallel computing methods of the corresponding nine ...
Minghu Fan, Xianyu Zuo, Bing Zhou
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Parallelization of K-Means Clustering Algorithm for Data Mining
ITM Web of Conferences, 2017 In this paper, we studied the parallelization of K-Means clustering algorithm, proposed a parallel scheme, designed a corresponding algorithm, and implemented the algorithm in GPU environment.
Jiang Hao, Yu Liyan
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