.png){kind=icon}
返回
Large-scale ferrofluid simulations on graphics processing units
.png){kind=icon}
OA
AI
DOI：10.1016/j.cpc.2013.01.016.png)
.png){kind=icon}
.png){kind=icon}
分享.png){kind=icon}
收藏
摘要
En 中文
We present an approach to molecular-dynamics simulations of ferrofluids on graphics processing units (GPUs). Our numerical scheme is based on a GPU-oriented modification of the Barnes-Hut (BH) algorithm designed to increase the parallelism of computations. For an ensemble consisting of a million ferromagnetic particles, the performance of the proposed algorithm on a Testa M2050 GPU demonstrated a computational-time speed-up of four orders of magnitude compared to the performance of the sequential All-Pairs (AP) algorithm on a single-core CPU, and two orders of magnitude compared to the performance of the optimized AP algorithm on the GPU. The accuracy of the scheme is corroborated by comparing the results of numerical simulations with theoretical predictions. (C) 2013 Elsevier B.V. All rights reserved.
Keyword:
Ferrofluid
Molecular dynamics simulation
The Barnes-Hut algorithm
GPUs
CUDA
AI总结
对已上传原文的论文进行重点信息的提取，主要内容包括：简要概述、研究摘要、背景介绍、关键亮点、图文解析、展望与总结。
期刊
IF:
3.4
论文数:
1.2W
被引数:
3.7W
机构
引用论文
Effects of synthetic fertilizer and farm compost on soil nematode community in long-term crop rotation plots: A morphological and metabarcoding approach.png)
PLOS ONEOAAI
PLOS ONEIF0
OAAI分享收藏分享收藏Transport Equations for Miscible Displacements in Heterogeneous Porous Media: A Streamtube Approach
PREAI
分享收藏
分享收藏分享收藏
查看更多内容