by National Aeronautics and Space Administration, National Technical Information Service, distributor in [Washington, DC, Springfield, Va .
Written in English
|Statement||Arsi Vaziri and Mark Kremenetsky.|
|Series||NASA contractor report -- NASA CR-203387.|
|Contributions||Kremenetsky, Mark., United States. National Aeronautics and Space Administration.|
|The Physical Object|
Purchase Parallel Computational Fluid Dynamics '95 - 1st Edition. Print Book & E-Book. ISBN , Book Edition: 1. Timing for Both the Simulation and Runtime Visualization. process scales well with the simulation as well as the parallel system. It also can be predicted that when running on a parallel system with faster processors and communi- cation network, interactive steering of the simulation Cited by: The locally processed results from the data on each processor, usually more economical and in a reduced form, are sent to the graph- ics workstation and combined for visualization. In the past, the parallel visualization model employed in visualization co-process- ing and CFD simulation steering applications has been explicitly tied to the Cited by: 1. For AR visualization of complicated and precise CFD simulation data, stable AR tracking technology is required, but most studies use a particular scenario of a restricted model, and for.
Most computational fluid dynamics (CFD) simulations require massive computational power, which is usually provided by traditional high-performance computing (HPC) environments. Often, simulations are executed on a massive number of CPU cores (O ()) that are hosted in a remote supercomputing center or an in-house. The final iteration should cause a *.trk file to be written. You can then load this under "Tools > Track" in the simulation tree. This will make various track variables available. There is also a description somewhere in the docs about plotting this via an animation etc. I . IEEE Computational Sci- ence and Engineering, 2. A. Vaziri and M. Kremenetsky. Visualization and Tracking of Parallel CFD Simula- tions. Proceedings of HPC '95, Society of Computer Simulation, 3. P. Buning and J. Steger. Graphics and Flow Visualization in Computational Fluid Dynamics. AIAA Paper , 4. D. Darmofal and R. Visualization and mathematics have begun a fruitful relationship, establishing links between problems and solutions of both fields. In some areas of mathematics, like differential geometry and numerical mathematics, visualization techniques are applied with great success. However, visualization.
Here the 3D data extraction is implemented as a parallel library and can be done in-situ during the numerical simulations, which avoids the storage of raw data for visualization. In this work we present, evaluate, and compare three techniques of parallel in-situ pathline extraction in . The development of parallel Computational Fluid Dynamics (CFD) codes is a challenging task that entails efficient parallelization concepts and strategies in order to achieve good scalability values when running those codes on modern supercomputers with several thousands to millions of cores. In this paper, we present a hierarchical data structure for massive parallel computations that supports. The visualization is performed using a parallel approach. of this system within a computational fluid dynamics simulation of a turbulent reacting flow. so that the tracking performance. We believe this tool to be a valuable asset in the engineer's pursuit of understanding and visualizing the underlying flow field in CFD simulation results. Read more Last Updated: 13 Oct