By Tomasz Plewa, Timur Linde, V. Gregory Weirs
Complex numerical simulations that use adaptive mesh refinement (AMR) tools have now turn into regimen in engineering and technological know-how. initially constructed for computational fluid dynamics functions those tools have propagated to fields as various as astrophysics, weather modeling, combustion, biophysics and so on. The underlying actual types and equations utilized in those disciplines are really various, but algorithmic and implementation concerns dealing with practitioners are usually remarkably related. regrettably, there was little attempt to check the advances and awesome problems with adaptive mesh refinement tools throughout this type of number of fields. This booklet makes an attempt to bridge this hole. The booklet offers a suite of papers by way of specialists within the box of AMR who study prior advances within the box and assessment the present country of adaptive mesh refinement tools in medical computing.
Read Online or Download Adaptive Mesh Refinement - Theory and Applications: Proceedings of the Chicago Workshop on Adaptive Mesh Refinement Methods, Sept. 3-5, 2003 (Lecture Notes in Computational Science and Engineering) PDF
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Additional resources for Adaptive Mesh Refinement - Theory and Applications: Proceedings of the Chicago Workshop on Adaptive Mesh Refinement Methods, Sept. 3-5, 2003 (Lecture Notes in Computational Science and Engineering)
The results of this collaboration between a world-class code developer (Michael Gittings) and the direction of an active code user has resulted in a truly amazing simulation capability for Los Alamos National Laboratory. This collaboration led directly to the creation of the ASCI sponsored Crestone Project at Los Alamos, in which the main goal of the project is to develop, verify, and validate CAMR Eulerian hydrodynamics based capabilities for use in projects of interest to the laboratory. Since the Crestone Project is funded by the DOE ASCI Program, there are many actual code development efforts managed by the Project.
More details on these techniques are given in reference . e. - which processors memory) to the local processor memory, cache reuse is actually quite good in the parallel implementation. , at Supercomputing 2001 and Supercomputing 2003 (,). The primary goal of the parallel implementation is maintainability, scalability, and portability to new platforms on problems of 1 billion CAMR cells. Maintainability refers to the suite of software quality practices in the Crestone Project in order to produce an understandable, modular code that has a well-documented and reproducible heritage.
During this COS Weaver observed a code called SAGE, being developed by one of us (Michael Gittings). This code was originally developed to study the detailed effects of an underwater shock wave from a nuclear explosion at distances of many kilometers from the core of the detonation. Accomplishing the required resolution of centimeters to meters at distances of many kilometers from the source required a new approach to grid generation and grid development. The solution that Gittings was developing involved acontinuous adaptive mesh reﬁnement technique that was based upon a modern Eulerian hydrodynamics framework.