Solid modeling of space stations in a concurrent processing environment

1991 ◽  
Vol 3 (1) ◽  
pp. 58-63 ◽  
Author(s):  
A. Saleh ◽  
H. Adeli
Keyword(s):  
Solid Modeling ◽  
Concurrent Processing

Concurrent processing adaptation of aeroelastic analysis of propfans

1990 ◽  
Author(s):  
DURBHA MURTHY ◽  
DAVID JANETZKE
Keyword(s):  
Concurrent Processing ◽  
Aeroelastic Analysis

Design and 3D Solid Modeling of Non

2019 ◽  
Author(s):  
Kaihong Zhou ◽  
Xiaofeng Li ◽  
Bohan Xu
Keyword(s):  
Solid Modeling ◽  
3D Solid ◽  
3D Solid Modeling

Three-dimensional solid modeling in aircraft design

1999 ◽  
Author(s):  
J. Phillips ◽  
E. Frey
Keyword(s):  
Three Dimensional ◽  
Aircraft Design ◽  
Solid Modeling

Developing concurrent processing applications to power system planning and operations

2003 ◽  
Author(s):  
M.J. Teixeira ◽  
H.J.C.P. Pinto ◽  
M.V.F. Pereira ◽  
M.F. McCoy
Keyword(s):  
Power System ◽  
Power System Planning ◽  
System Planning ◽  
Concurrent Processing

Solid Modeling in Structural Engineering

2008 ◽  
Vol 4 (4) ◽  
pp. 275-287 ◽  
Author(s):  
AFTAB A. MUFTI ◽  
BERNARD HSIUNG
Keyword(s):  
Structural Engineering ◽  
Solid Modeling

Automatic Partitioning of Frame Structures for Concurrent Processing

1990 ◽  
Vol 5 (4) ◽  
pp. 269-283 ◽  
Author(s):  
O. KAMAL ◽  
H. ADELI
Keyword(s):  
Frame Structures ◽  
Concurrent Processing

A nontrivial example of concurrent processing: Distributed simulation

2005 ◽  
Author(s):  
K.M. Chandy ◽  
J. Misra
Keyword(s):  
Distributed Simulation ◽  
Concurrent Processing

An Investigation of Vector and Parallel Processing Applied to Solid Modeling

1996 ◽  
Author(s):  
Navin Pai ◽  
Mark Henderson
Keyword(s):  
Data Structure ◽  
Parallel Processing ◽  
Solid Modeling ◽  
Boundary Representation ◽  
Solid Modeler ◽  
Linked Lists

Abstract Solid modeling is a very useful industrial tool in the manufacture and design of industrial parts and assemblies. As a tool in the industrial workplace it has to be able to respond quickly to changes in design. To do this, the intersection algorithms between the solids have to be speeded up. Optimizations such as vector and parallel processing traditionally supported by supercomputers have the potential to solve this problem. A solid modeler was developed based on the boundary representation approach using a half-edge data structure. Those parts of the solid modeler code that could be vectorized were identified. A method was tested which allows loops involving linked lists to vectorize. It was also shown that this solid modeler has an inherent parallelism that can be exploited. Results are presented for vectorization and parallelization. The practical limits to both vectorization and parallelization are highlighted. Improvements to the geometric intersections algorithms are suggested to take advantage of vector and parallel processing. Results of the speedups possible using these algorithms are presented.

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