Smoothed particle hydrodynamics: Methodology development and recent achievement
Since its inception, the full Lagrangian meshless smoothed particle hydrodynamics (SPH)
has experienced a tremendous enhancement in methodology and impacted a range of multi …
has experienced a tremendous enhancement in methodology and impacted a range of multi …
A coupled incompressible SPH-Hamiltonian SPH solver for hydroelastic FSI corresponding to composite structures
The paper presents a fully Lagrangian meshfree projection-based hydroelastic FSI (Fluid-
Structure Interaction) solver for simulation of incompressible fluid flows interacting with …
Structure Interaction) solver for simulation of incompressible fluid flows interacting with …
CUDA-based parallelization of time-weighted dynamic time warping algorithm for time series analysis of remote sensing data
H Guo, B Xu, H Yang, B Li, Y Yue, S Zhao - Computers & Geosciences, 2022 - Elsevier
The time weighted dynamic time warping (TWDTW) algorithm is an important algorithm for
the time series analysis of remote sensing images. However, due to the limitation of …
the time series analysis of remote sensing images. However, due to the limitation of …
Advances in cuda for computational physics
D Spiridon - Bulletin of the Transilvania University of Brasov …, 2023 - webbut.unitbv.ro
Advances in the graphics processing unit (GPU) development led to the opportunity for
software developers to increase the execution speed for their programs by massive …
software developers to increase the execution speed for their programs by massive …
An optimized GPU implementation of weakly-compressible SPH using CUDA-based strategies
Y Cai, J Wei, Q Hou, R Gao - … on Algorithms and Architectures for Parallel …, 2021 - Springer
Abstract SPH (Smoothed Particle Hydrodynamics) is a meshless method that is widely used
to simulate computational fluid problems but is very time-consuming. Although many GPU …
to simulate computational fluid problems but is very time-consuming. Although many GPU …
An Improved GPU Acceleration Framework for Smoothed Particle Hydrodynamics
Y Cai, J Wei, J Duan, Q Hou - … on Algorithms and Architectures for Parallel …, 2023 - Springer
GPU has drawn much attention on accelerating SPH applications, which need high
computational requirements. To eliminate the performance bottlenecks, this paper proposes …
computational requirements. To eliminate the performance bottlenecks, this paper proposes …
Novel hierarchical strategies for SPH-centric algorithms on GPGPU
This research further extends an existing state-of-the-art GPU framework of SPH simulation
for better performance without any compromise of numerical accuracy and sacrifice of …
for better performance without any compromise of numerical accuracy and sacrifice of …
Implementation of CUDA and Hadoop based System for Intelligent Guiding Evaluation Algorithm based on Data Center Data Mining
Y Li - 2022 International Conference on Inventive …, 2022 - ieeexplore.ieee.org
Implementation of CUDA and Hadoop based system for intelligent guiding evaluation
algorithm based on data center data mining is studied in the paper. Based on Jinling …
algorithm based on data center data mining is studied in the paper. Based on Jinling …
[PDF][PDF] A Methodology for the Development of Write-Back Caches
S Chaudhary - Indian Journal of Science and …, 2018 - sciresol.s3.us-east-2.amazonaws …
Objectives: In this study, we confirm the copying of IPv6. We contend that despite the fact that
the maker purchaser issue and multicast heuristics can interface with satisfy this objective …
the maker purchaser issue and multicast heuristics can interface with satisfy this objective …