Parallel and Meshfree: new frontiers of CFD
نویسنده
چکیده
For the best part of 50 years, advances in algorithms and the increasing computing power have made computational fluid dynamics, CFD, a mature discipline. Which are some remaining frontiers of the discipline? It is common knowledge that one of the challenges in fluid simulation continues to be the need to straddle many scales. New computational methods still need to be developed that are able to adapt to the many scales of a problem. Another frontier recently opened is the development of hardware-aware software. Multi-core computers are on everyone’s desktops nowadays, and a growing trend in using graphics cards and other specialized hardware is buzzing. In all of these frontiers, there is great potential for meshfree methods. Particle-type formulations for CFD offer an alternative which is low in numerical diffusion, devoid of numerical dispersion and stability constraints. Also, meshfree methods offer a natural adaptivity in situations where mesh generation is a huge burden (e.g. moving boundaries). Meshfree methods could be especially well-suited to exploit the new hardware technologies entering the scene. I will present an overview of some aspects of meshfree simulation in fluid dynamics, and recent progress in algorithms and parallel implementations, including novel hardware.
منابع مشابه
Optimization strategies for parallel CPU and GPU implementations of a meshfree particle method
Much of the current focus in high performance computing (HPC) for computational fluid dynamics (CFD) deals with grid based methods. However, parallel implementations for new meshfree particle methods such as Smoothed Particle Hydrodynamics (SPH) are less studied. In this work, we present optimizations for both central processing unit (CPU) and graphics processing unit (GPU) of a SPH method. The...
متن کاملTime Marching Kernel Approximated PDE Solutions for Meshfree Computational Fluid Dynamics
This paper will address the problem of time marching function approximated solutions inherent in emerging meshfree Computational Fluid Dynamics (CFD) solution techniques. The numerical solutions of partial differential equations (PDEs) of CFD has been dominated by either finite difference methods (FDM), finite element methods (FEM), and finite volume methods (FVM). These methods can be derived ...
متن کاملA new approach based on data envelopment analysis with double frontiers for ranking the discovered rules from data mining
Data envelopment analysis (DEA) is a relatively new data oriented approach to evaluate performance of a set of peer entities called decision-making units (DMUs) that convert multiple inputs into multiple outputs. Within a relative limited period, DEA has been converted into a strong quantitative and analytical tool to measure and evaluate performance. In an article written by Toloo et al. (2009...
متن کاملThe Repeated Replacement Method: A Pure Lagrangian Meshfree Method for Computational Fluid Dynamics
In this paper we describe the repeated replacement method (RRM), a new meshfree method for computational fluid dynamics (CFD). RRM simulates fluid flow by modeling compressible fluids' tendency to evolve towards a state of constant density, velocity, and pressure. To evolve a fluid flow simulation forward in time, RRM repeatedly "chops out" fluid from active areas and replaces it with new "flat...
متن کاملAnalysis of Linear Two-Dimensional Equations by Hermitian Meshfree Collocation Method
Meshfree Collocation Method is used to solve linear two-dimensional problems. This method differs from weak form methods such as Galerkin method and no cellular networking and no numerical integration. Therefore, this method has no constraints such as the integration accuracy and the integration CPU time, and equations can be isolated directly from the strong form of governing PDE. The fundame...
متن کامل