PDPTA '19 : proceedings of the 2019 International Conference on Parallel & Distributed Processing Techniquess & Applications. International Conference on Parallel and Distributed Processing Techniques and Applications (2019 : Las Vegas,...最新文献_第2页

Unsteady Separated Flow Simulations Using a Cluster of Workstations 基于工作站集群的非定常分离流模拟

PDPTA '19 : proceedings of the 2019 International Conference on Parallel & Distributed Processing Techniquess & Applications. International Conference on Parallel and Distributed Processing Techniques and Applications (2019 : Las Vegas,... Pub Date : 2000-01-10 DOI: 10.2514/6.2000-272

A. Modi, L. Long, R. Hansen

{"title":"Unsteady Separated Flow Simulations Using a Cluster of Workstations","authors":"A. Modi, L. Long, R. Hansen","doi":"10.2514/6.2000-272","DOIUrl":"https://doi.org/10.2514/6.2000-272","url":null,"abstract":"The possibility of predicting the full three-dimensional unsteady separated flow around complex ship and helicopter geometries is explored using unstructured grids with a parallel flow solver. The flow solver used is a modified version of the Parallel Unstructured Maritime Aerodynamics (PUMA) software, which was written by Dr. Christopher Bruner as part of his doctoral thesis at the Virginia Polytechnic Institute and State University. The efficiency and accuracy of PUMA at resolving several steady state solutions and a fully three-dimensional unsteady separated flow around a sphere were studied in order to determine if it was a suitable platform to base future work on. The COst effective COmputing Array (COCOA), a powerful 50-processor Beowulf cluster, was also built and tested as a part of the effort to make all this possible at a very economic cost. Unstructured grids were utilized in order to maximize the number of cells in the area of interest, while minimizing cells in the far field. A high level of clustering is required to solve viscous unsteady problems, and unstructured grids offer the least expensive method to ensure this. NASA’s VGRID package was used to generate the unstructured grids.","PeriodicalId":93135,"journal":{"name":"PDPTA '19 : proceedings of the 2019 International Conference on Parallel & Distributed Processing Techniquess & Applications. International Conference on Parallel and Distributed Processing Techniques and Applications (2019 : Las Vegas,...","volume":"9 1","pages":"786-792"},"PeriodicalIF":0.0,"publicationDate":"2000-01-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"79885587","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 32

AHA-GRAPE: Adaptive Hydrodynamic Architecture - GRAvity PipE AHA-GRAPE:自适应流体动力结构-重力管道

PDPTA '19 : proceedings of the 2019 International Conference on Parallel & Distributed Processing Techniquess & Applications. International Conference on Parallel and Distributed Processing Techniques and Applications (2019 : Las Vegas,... Pub Date : 1999-06-08 DOI: 10.1007/978-3-540-48302-1_47

Torsten Kuberka, A. Kugel, R. Männer, H. Singpiel, R. Spurzem

引用次数: 14

An Agent-Based Framework for the Transparent Distribution of Computations 基于agent的计算透明分布框架

PDPTA '19 : proceedings of the 2019 International Conference on Parallel & Distributed Processing Techniquess & Applications. International Conference on Parallel and Distributed Processing Techniques and Applications (2019 : Las Vegas,... Pub Date : 1999-01-01 DOI: 10.18419/OPUS-2432

Markus Straßer, J. Baumann, M. Schwehm

引用次数: 14

The True Limitations of Shared Memory Programming 共享内存编程的真正限制

PDPTA '19 : proceedings of the 2019 International Conference on Parallel & Distributed Processing Techniquess & Applications. International Conference on Parallel and Distributed Processing Techniques and Applications (2019 : Las Vegas,... Pub Date : 1999-01-01 DOI: 10.21236/ada373358

D. Pressel, M. Behr, S. Thompson

引用次数: 1

Deductive Query Processing With an Objective-oriented Semantic Network in a Massively Parallel Environment 大规模并行环境下面向目标语义网络的演绎查询处理

PDPTA '19 : proceedings of the 2019 International Conference on Parallel & Distributed Processing Techniquess & Applications. International Conference on Parallel and Distributed Processing Techniques and Applications (2019 : Las Vegas,... Pub Date : 1999-01-01 DOI: 10.2316/JOURNAL.202.2004.2.202-1266

S. Oh, W. Lee

{"title":"Deductive Query Processing With an Objective-oriented Semantic Network in a Massively Parallel Environment","authors":"S. Oh, W. Lee","doi":"10.2316/JOURNAL.202.2004.2.202-1266","DOIUrl":"https://doi.org/10.2316/JOURNAL.202.2004.2.202-1266","url":null,"abstract":"Most research related to parallel query processing has concentrated on how to properly partition and schedule operation-by-operation and tuple-by-tuple query processing jobs to available processors. As a result, because these operations should perform complex query optimization, tremendous overhead can be involved, especially in a massively parallel system with thousands of processors. Furthermore, there exist unnecessary dependencies among operations allocated in different processors, and a large amount of intermediate data must be exchanged among processors. This article proposes an effective deductive query processing method in a massively parallel system. For this, the facts and deductive rules of a deductive database are partitioned into fine-grain semantic elements based on the concepts of an object-oriented model. These semantic elements are used to construct an object-oriented semantic network (OOSN). Because all facts and deductive rules are mapped to the OOSN statically, a query can be evaluated effectively in a distributed manner without any complex query optimization.","PeriodicalId":93135,"journal":{"name":"PDPTA '19 : proceedings of the 2019 International Conference on Parallel & Distributed Processing Techniquess & Applications. International Conference on Parallel and Distributed Processing Techniques and Applications (2019 : Las Vegas,...","volume":"15 1","pages":"1182-1188"},"PeriodicalIF":0.0,"publicationDate":"1999-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"90147161","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Hyper-Systolic Routing for SIMD Systems SIMD系统的超收缩路由

PDPTA '19 : proceedings of the 2019 International Conference on Parallel & Distributed Processing Techniquess & Applications. International Conference on Parallel and Distributed Processing Techniques and Applications (2019 : Las Vegas,... Pub Date : 1997-01-01 DOI: 10.1016/S0927-5452(98)80057-9

A. Hoferichter, T. Lippert, K. Schilling, P. Palazzari

引用次数: 3