The Los Alamos Crestone Project is part of the Department of Energy's (DOE) Accelerated Strategic Computing Initiative, or ASCI Program. The main goal of this software development project is to investigate the use of continuous adaptive mesh refinement (CAMR) techniques for application to problems of interest to the Laboratory. There are many code development efforts in the Crestone Project, both unclassified and classified codes. In this overview I will discuss the unclassified SAGE and the RAGE codes. The SAGE (SAIC adaptive grid Eulerian) code is a one-, two-, and three-dimensional multimaterial Eulerian massively parallel hydrodynamics code for use in solving a variety of high-deformation flow problems. The RAGE CAMR code is built from ...
This final report contains reports of research related to the tasks "Scalable High Performance Compu...
This report gives a quick description of progress on methods, algorithms and software for large-scal...
Abstract: Present trends in high performance computing present formidable challenges for application...
We develop scalable algorithms and object-oriented code frameworks for terascale scientific simulati...
Key strategies used in the development of a scalable, three-dimensional direct simulation Monte Carl...
After a decade where high-end computing was dominated by the rapid pace of improvements to CPU frequ...
Massively parallel computers have enabled the analyst to solve complicated flow fields (turbulent, c...
AbstractWe describe a scalable parallel algorithm for numerical simulations of turbulent, radiative,...
Hypervelocity impact studies are important for debris shield and armor/anti-armor research and devel...
The Gyrokinetic Toroidal Code (GTC) is a global, three-dimensional particle-in-cell application deve...
Many institutions are now developing large-scale, complex, coupled multiphysics computational simula...
The gyrokinetic toroidal code at Princeton (GTC-P) is a highly scalable and portable particle-in-cel...
This paper describes ZEUS-MP, a multi-physics, massively parallel, message- passing implementation o...
The design and performance optimization of particle accelerators are essential for the success of th...
Even with the continual advances made in both computational algorithms and computer hardware used in...
This final report contains reports of research related to the tasks "Scalable High Performance Compu...
This report gives a quick description of progress on methods, algorithms and software for large-scal...
Abstract: Present trends in high performance computing present formidable challenges for application...
We develop scalable algorithms and object-oriented code frameworks for terascale scientific simulati...
Key strategies used in the development of a scalable, three-dimensional direct simulation Monte Carl...
After a decade where high-end computing was dominated by the rapid pace of improvements to CPU frequ...
Massively parallel computers have enabled the analyst to solve complicated flow fields (turbulent, c...
AbstractWe describe a scalable parallel algorithm for numerical simulations of turbulent, radiative,...
Hypervelocity impact studies are important for debris shield and armor/anti-armor research and devel...
The Gyrokinetic Toroidal Code (GTC) is a global, three-dimensional particle-in-cell application deve...
Many institutions are now developing large-scale, complex, coupled multiphysics computational simula...
The gyrokinetic toroidal code at Princeton (GTC-P) is a highly scalable and portable particle-in-cel...
This paper describes ZEUS-MP, a multi-physics, massively parallel, message- passing implementation o...
The design and performance optimization of particle accelerators are essential for the success of th...
Even with the continual advances made in both computational algorithms and computer hardware used in...
This final report contains reports of research related to the tasks "Scalable High Performance Compu...
This report gives a quick description of progress on methods, algorithms and software for large-scal...
Abstract: Present trends in high performance computing present formidable challenges for application...