Engineers typically perform convergence studies to determine the optimal balance of accuracy and the simulation resources available. One way to achieve this is by restricting high mesh density to areas of the model in the load path and areas of interest. Geometric shapes that experience large concent...
In the field of Computational Fluid Dynamics (CFD), the simulation of an engine blade requires 1000 cores to compute for a week, and there is no doubt that those requirements cannot be met with current technologies. Even if we decide to build appropriate computing platforms from now on, it ...
By using convergence-based stopping criteria for inner iterations there is no need for tuning when applying the new SIMPLEC scheme. For applications ranging from vehicle external aerodynamics through side-mirror and HVAC aeroacoustics to airplane wing icing, leveraging SIMPLEC results in a reduction of...
By using convergence-based stopping criteria for inner iterations there is no need for tuning when applying the new SIMPLEC scheme. For applications ranging from vehicle external aerodynamics through side-mirror and HVAC aeroacoustics to airplane wing icing, leveraging SIMPLEC results in a reduction of...
Why is Meshing important? The quality of a mesh (measured by geometric metrics for each cell in the mesh) influences the accuracy and convergence of the CFD solution. Achieving a balance between accuracy and computational resources is crucial to a good simulation, and mesh sensitivity tests are ...
Further, in explicit dynamics, Rigid Bodies provide a great way to increment the time step of the simulation significantly while simultaneously contributing to increased stability with the convergence. The support for Rigid Body definition in OnScale Solve is our first step towards supporting such comp...
Source: Adapted from graph data presented inConvergence of Artificial Intelligence and High-Performance Computing on NSF-Supported Cyberinfrastructure | Journal of Big Data | Full Text (springeropen.com) HPC Use Cases Climate Modeling Climate models are used to simulate the behavior of the Earth's ...
Because the coupled algorithm solves the momentum equations and continuity equation together in the same system, it significantly improves the rate of solution convergence and is the method of choice for steady-state flows. In addition, far-field boundary conditions for both the segregated and ...
Convergence/Divergence: If the MACD line is trending in the same direction as the price, the pattern is known as convergence, which confirms the price move; If they move in opposite directions, the pattern is divergence. For example, if the price reaches a new high, but the indicator does...
Supercomputing is a form of high-performance computing that determines or calculates using a powerful computer, reducing overall time to solution. Blog postThe convergence of HPC and AI: Driving innovation at speed The convergence of AI and HPC can generate intelligence that adds value and accelerate...