Massively parallel processors (MPPs) will soon enable realistic 3-D physical modeling of complex objects and systems. Work is planned or presently underway to port many of LLNL`s physical modeling codes to MPPs. LLNL`s DSI3D electromagnetics code already can solve 40+ million zone problems on the 256 processor Meiko. However, the author lacks the software necessary to generate and manipulate the large meshes needed to model many complicated 3-D geometries. State-of-the-art commercial mesh generators run on workstations and have a practical limit of several hundred thousand elements. In the foreseeable future MPPs will solve problems with a billion mesh elements. The objective of the Parallel Mesh Generation (PMESH) Project is to develop a u...
Journal ArticleThis paper presents rendering algorithms, developed for massively parallel processors...
AbstractAs one of the arbitrary Lagrangian–Eulerian methods, the material point method (MPM) owns in...
As polygonal models rapidly grow to sizes orders of magnitudes bigger than the memory of commodity w...
The Parallel Mesh Generation (PMESH) Project is a joint LDRD effort by A Division and Engineering to...
We develop scalable algorithms and object-oriented code frameworks for terascale scientific simulati...
The difficulties encountered in implementing large scale CM codes on multiprocessor systems are now ...
Recent developments at the NASA AMES Research Center's NAS Division have demonstrated that the new g...
International audienceWe first define the meaning of "massively parallel computation": considering o...
In order to run CFD codes more efficiently on large scales, the parallel computing has to be employe...
The development of a scalable parallel multilevel fast multipole algorithm (MLFMA) for three dimensi...
The increase of computing power for multiphysics simulations results in a growing number of requirem...
3D geometric reconstruction from digital images captured from con-sumer cameras is an inexpensive, b...
We have taken a Grand Challenge 3d Multi-Grid code, initially developed on the Cray C-90 and subsequ...
We present here the enhancement of a parallel incompressible Navier-Stokes solver to be able to mana...
As the resolution of simulation models increases, scientific visualization algorithms which take adv...
Journal ArticleThis paper presents rendering algorithms, developed for massively parallel processors...
AbstractAs one of the arbitrary Lagrangian–Eulerian methods, the material point method (MPM) owns in...
As polygonal models rapidly grow to sizes orders of magnitudes bigger than the memory of commodity w...
The Parallel Mesh Generation (PMESH) Project is a joint LDRD effort by A Division and Engineering to...
We develop scalable algorithms and object-oriented code frameworks for terascale scientific simulati...
The difficulties encountered in implementing large scale CM codes on multiprocessor systems are now ...
Recent developments at the NASA AMES Research Center's NAS Division have demonstrated that the new g...
International audienceWe first define the meaning of "massively parallel computation": considering o...
In order to run CFD codes more efficiently on large scales, the parallel computing has to be employe...
The development of a scalable parallel multilevel fast multipole algorithm (MLFMA) for three dimensi...
The increase of computing power for multiphysics simulations results in a growing number of requirem...
3D geometric reconstruction from digital images captured from con-sumer cameras is an inexpensive, b...
We have taken a Grand Challenge 3d Multi-Grid code, initially developed on the Cray C-90 and subsequ...
We present here the enhancement of a parallel incompressible Navier-Stokes solver to be able to mana...
As the resolution of simulation models increases, scientific visualization algorithms which take adv...
Journal ArticleThis paper presents rendering algorithms, developed for massively parallel processors...
AbstractAs one of the arbitrary Lagrangian–Eulerian methods, the material point method (MPM) owns in...
As polygonal models rapidly grow to sizes orders of magnitudes bigger than the memory of commodity w...