1 resultado para Computational fluid dynamics
em Massachusetts Institute of Technology
Filtro por publicador
- Repository Napier (1)
- Acceda, el repositorio institucional de la Universidad de Las Palmas de Gran Canaria. España (5)
- AMS Tesi di Dottorato - Alm@DL - Università di Bologna (10)
- AMS Tesi di Laurea - Alm@DL - Università di Bologna (7)
- Applied Math and Science Education Repository - Washington - USA (1)
- ArchiMeD - Elektronische Publikationen der Universität Mainz - Alemanha (1)
- Archimer: Archive de l'Institut francais de recherche pour l'exploitation de la mer (1)
- Archivo Digital para la Docencia y la Investigación - Repositorio Institucional de la Universidad del País Vasco (4)
- Aston University Research Archive (31)
- Biblioteca de Teses e Dissertações da USP (6)
- Biblioteca Digital da Produção Intelectual da Universidade de São Paulo (4)
- Biblioteca Digital de Teses e Dissertações Eletrônicas da UERJ (8)
- BORIS: Bern Open Repository and Information System - Berna - Suiça (14)
- Boston University Digital Common (1)
- Bucknell University Digital Commons - Pensilvania - USA (1)
- CaltechTHESIS (3)
- Cambridge University Engineering Department Publications Database (149)
- CentAUR: Central Archive University of Reading - UK (56)
- Chinese Academy of Sciences Institutional Repositories Grid Portal (51)
- Cochin University of Science & Technology (CUSAT), India (5)
- Coffee Science - Universidade Federal de Lavras (2)
- CORA - Cork Open Research Archive - University College Cork - Ireland (3)
- CUNY Academic Works (1)
- Dalarna University College Electronic Archive (2)
- Digital Commons - Michigan Tech (5)
- Digital Commons at Florida International University (7)
- Digital Peer Publishing (1)
- Diposit Digital de la UB - Universidade de Barcelona (5)
- Doria (National Library of Finland DSpace Services) - National Library of Finland, Finland (5)
- DRUM (Digital Repository at the University of Maryland) (4)
- Duke University (5)
- Greenwich Academic Literature Archive - UK (81)
- Helda - Digital Repository of University of Helsinki (1)
- Illinois Digital Environment for Access to Learning and Scholarship Repository (3)
- Indian Institute of Science - Bangalore - Índia (81)
- Instituto Politécnico de Bragança (2)
- Instituto Politécnico do Porto, Portugal (1)
- Massachusetts Institute of Technology (1)
- Memorial University Research Repository (2)
- National Aerospace Laboratory (NLR) Reports Repository (1)
- QSpace: Queen's University - Canada (1)
- QUB Research Portal - Research Directory and Institutional Repository for Queen's University Belfast (73)
- Queensland University of Technology - ePrints Archive (119)
- RDBU - Repositório Digital da Biblioteca da Unisinos (1)
- Repositório Científico do Instituto Politécnico de Lisboa - Portugal (2)
- Repositório Digital da UNIVERSIDADE DA MADEIRA - Portugal (1)
- Repositório Institucional da Universidade Federal do Rio Grande do Norte (5)
- Repositório Institucional da Universidade Tecnológica Federal do Paraná (RIUT) (3)
- Repositório Institucional UNESP - Universidade Estadual Paulista "Julio de Mesquita Filho" (33)
- RUN (Repositório da Universidade Nova de Lisboa) - FCT (Faculdade de Cienecias e Technologia), Universidade Nova de Lisboa (UNL), Portugal (1)
- Savoirs UdeS : plateforme de diffusion de la production intellectuelle de l’Université de Sherbrooke - Canada (1)
- Universidad del Rosario, Colombia (1)
- Universidad Politécnica de Madrid (38)
- Universidade Federal do Pará (1)
- Universidade Federal do Rio Grande do Norte (UFRN) (15)
- Universitat de Girona, Spain (5)
- Universitätsbibliothek Kassel, Universität Kassel, Germany (3)
- Université de Lausanne, Switzerland (1)
- Université de Montréal, Canada (2)
- University of Michigan (11)
- University of Queensland eSpace - Australia (10)
- University of Southampton, United Kingdom (3)
- University of Washington (1)
Resumo:
An effective approach of simulating fluid dynamics on a cluster of non- dedicated workstations is presented. The approach uses local interaction algorithms, small communication capacity, and automatic migration of parallel processes from busy hosts to free hosts. The approach is well- suited for simulating subsonic flow problems which involve both hydrodynamics and acoustic waves; for example, the flow of air inside wind musical instruments. Typical simulations achieve $80\\%$ parallel efficiency (speedup/processors) using 20 HP-Apollo workstations. Detailed measurements of the parallel efficiency of 2D and 3D simulations are presented, and a theoretical model of efficiency is developed which fits closely the measurements. Two numerical methods of fluid dynamics are tested: explicit finite differences, and the lattice Boltzmann method.