Diving deep: data-management and visualization strategies for adaptive mesh refinement simulations
نویسندگان
چکیده
منابع مشابه
Efficient asynchronous executions of AMR computations and visualization on a GPU system
Adaptive Mesh Refinement is a method which dynamically varies the spatio-temporal resolution of localized mesh regions in numerical simulations, based on the strength of the solution features. Insitu visualization plays an important role for analyzing the time evolving characteristics of the domain structures. Continuous visualization of the output data for various timesteps results in a better...
متن کاملVisualization of Scalar Adaptive Mesh Refinement Data
Adaptive Mesh Refinement (AMR) is a highly effective computation method for simulations that span a large range of spatiotemporal scales, such as astrophysical simulations, which must accommodate ranges from interstellar to sub-planetary. Most mainstream visualization tools still lack support for AMR grids as a first class data type and AMR code teams use custom built applications for AMR visua...
متن کاملVisualization Tools for Adaptive Mesh Refinement Data
Adaptive Mesh Refinement (AMR) is a highly effective method for simulations that span a large range of spatiotemporal scales, such as astrophysical simulations that must accomodate ranges from interstellar to sub-planetary. Most mainstream visualization tools still lack support for AMR as a first class data type and AMR code teams use custom built applications for AMR visualization. The Departm...
متن کاملAnalysis and Visualization of Multi-Scale Astrophysical Simulations Using Python and NumPy
The study the origins of cosmic structure requires large-scale computer simulations beginning with well-constrained, observationally-determined, initial conditions. We use Adaptive Mesh Refinement to conduct multi-resolution simulations spanning twelve orders of magnitude in spatial dimensions and over twenty orders of magnitude in density. These simulations must be analyzed and visualized in a...
متن کاملVisualization and communication in risk management of landslides
Our research integrates modeling, high performance computing, database management, visualization, and collaborative environments for hazard mitigation of landslides and debris flows at volcanoes. Our project has three main thrusts: (1) developing realistic simulations of landslides and other flows at volcanoes; (2) integrating data from several sources, including simulation results, remote sens...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید
ثبت ناماگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید
ورودعنوان ژورنال:
- Computing in Science and Engineering
دوره 1 شماره
صفحات -
تاریخ انتشار 1999