Summary In this work, PDSL(pre-detection sort last) and SDSL(strip-wise decomposition sort last) parallel visualization algorithms are proposed for efficient visualization of massive data generated from large-scale parallel finite element analysis through investigating the characteristics of distributed parallel finite element analysis procedure. The proposed parallel visualization algorithms are based on the sort last approach, and designed to be highly compatible with the characteristics of domain-wise computation in parallel finite element analysis. To investigate the performances of proposed algorithms, in-house software is developed by applying the binary tree network communication pattern along with the proposed sorting algorithms, an...
While commodity computing and graphics hardware has increased in capacity and dropped in cost, it i...
The majority of finite element models in structural engineering are composed of unstructured meshes....
KEY WORDS AND PHRASES Parallel visualization, unstructured grids, large-scale geoscientific datasets...
The investigation of new parallel algorithms for MIMD computers requires some postprocessing fac...
Three-dimensional transient finite element analysis is performed on unstructured grids. A trend towa...
The paper describes a method for Visualization of computational results in parallel finite element...
technical reportThe research is focused on developing new techniques for visualizing FEA data sets. ...
This paper deals with the visualization of numerical results as a very convenient method to unders...
This research is concerned with the parallel finite element analysis (PFEA) of structures. For struc...
In this paper, the object-oriented method has been used to realize cluster-based parallel finite ele...
The parallelization of numerical algorithms is required to run large scale simulations on clusters o...
[[abstract]]The finite element method is widely used to model physical systems in various engineerin...
peer reviewedThe finite element code LAGAMINE developed since 1982 has been adapted to numerous fini...
Research has continued with excellent progress and new results on methodology and algorithms. We hav...
A Finite-element parallel computing frame-PANDA and its implementation processes are introduced. To ...
While commodity computing and graphics hardware has increased in capacity and dropped in cost, it i...
The majority of finite element models in structural engineering are composed of unstructured meshes....
KEY WORDS AND PHRASES Parallel visualization, unstructured grids, large-scale geoscientific datasets...
The investigation of new parallel algorithms for MIMD computers requires some postprocessing fac...
Three-dimensional transient finite element analysis is performed on unstructured grids. A trend towa...
The paper describes a method for Visualization of computational results in parallel finite element...
technical reportThe research is focused on developing new techniques for visualizing FEA data sets. ...
This paper deals with the visualization of numerical results as a very convenient method to unders...
This research is concerned with the parallel finite element analysis (PFEA) of structures. For struc...
In this paper, the object-oriented method has been used to realize cluster-based parallel finite ele...
The parallelization of numerical algorithms is required to run large scale simulations on clusters o...
[[abstract]]The finite element method is widely used to model physical systems in various engineerin...
peer reviewedThe finite element code LAGAMINE developed since 1982 has been adapted to numerous fini...
Research has continued with excellent progress and new results on methodology and algorithms. We hav...
A Finite-element parallel computing frame-PANDA and its implementation processes are introduced. To ...
While commodity computing and graphics hardware has increased in capacity and dropped in cost, it i...
The majority of finite element models in structural engineering are composed of unstructured meshes....
KEY WORDS AND PHRASES Parallel visualization, unstructured grids, large-scale geoscientific datasets...