An evaluation of MPI and OpenMP paradigms in finite‐difference explicit methods for PDEs on shared‐memory multi‐ and manycore systems
Author:
Affiliation:
1. CENAPAD LNCC Petrópolis RJ Brazil
2. DCC UFLA Lavras MG Brazil
3. EIC CEFET Rio de Janeiro RJ Brazil
4. IC UFF Niterói RJ Brazil
Funder
Conselho Nacional de Desenvolvimento Científico e Tecnológico
Publisher
Wiley
Subject
Computational Theory and Mathematics,Computer Networks and Communications,Computer Science Applications,Theoretical Computer Science,Software
Link
https://onlinelibrary.wiley.com/doi/pdf/10.1002/cpe.5642
Reference22 articles.
1. MPI Forum.MPI forum.https://www.mpi-forum.org/. Accessed2019.
2. CabralF OsthoffC SoutoR et al.Fine‐tuning an OpenMP‐based TVD‐Hopmoc method using Intel®Parallel Studio XE Tools on Intel®Xeon®Architectures. Paper presented at: 5th Latin American Conference on High Performance Computing (CARLA);2018;Bucaramanga Colombia.
3. CabralF OsthoffC SoutoRP et al.An improved OpenMP implementation of the TVD‐Hopmoc method based on a cluster of points. Paper presented at: 13th International Conference on High Performance Computing for Computational Science (VECPAR);2018;São Pedro Brazil.
4. BrandãoDN Gonzaga de OliveiraSL KischinhevskyM OsthoffC CabralFL.A total variation diminishing hopmoc scheme for numerical time integration of evolutionary differential equations. Paper presented at: 18th International Conference on Computational Science and Its Applications;2018;Melbourne Australia.
Cited by 4 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献
1. An OpenMP‐based breadth‐first search implementation using the bag data structure;Concurrency and Computation: Practice and Experience;2024-05-31
2. Parallel FDTD Analysis of the Effect of Equivalence on the Field Characteristics of low Altitude Explosion Ground Source Region;2024 IEEE International Conference on Computational Electromagnetics (ICCEM);2024-04-15
3. Reducing Cache Miss Rate Using Thread Oversubscription to Accelerate an MPI-OpenMP-Based 2-D Hopmoc Method;Computational Science and Its Applications – ICCSA 2022;2022
4. High‐performance computing for computational science;Concurrency and Computation: Practice and Experience;2020-06-25
1.学者识别学者识别
2.学术分析学术分析
3.人才评估人才评估
"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370
www.globalauthorid.com
TOP
Copyright © 2019-2024 北京同舟云网络信息技术有限公司 京公网安备11010802033243号 京ICP备18003416号-3