CFD Part I: Smoothed Particle Hydrodynamics for Novel Energy Efficient Hardware
A special issue of Computation (ISSN 2079-3197). This special issue belongs to the section "Computational Engineering".
Deadline for manuscript submissions: closed (15 July 2016)
Special Issue Editors
Interests: fluid dynamics; simulation of complex engineering flows; turbulence and its modeling; eulerian and lagrangian two-phase flow modeling; industrial thermofluiddynamics; ship hydrodynamics; vehicle aerodynamics; aerocoustics
Interests: numerical simulation of free-surface flows; coastal hydrodynamics; shallow water equations (SWEs); natural hazards modelling (flooding and tsunamis); smoothed particle hydrodynamics (SPH) and finite volume methods (FVMs) accelerated using novel low-energy hardware such as graphics processing units (GPUs) and massively parallel high-performance computing (HPC) systems
Special Issue Information
Dear Colleagues,
Smoothed Particle Hydrodynamics (SPH) is a viable approach for simulations of violent flows and has matured over the past few decades. The range of SPH applications is continuously growing, in line with the size of the simulation models. Recent applications involve a wide range of fairly complex multi-physics scenarios, e.g., tsunami and landslide simulations, cosmic structure formation and galaxy collisions or wave-energy conversion, and flooding simulations. Since SPH is computationally intensive by nature, nowadays, a significant branch of SPH research is devoted to high-performance computing using novel energy-efficient hardware, e.g., GPGPUs, to address the large computational efforts with moderate hardware expenses.
This Special Issue is intended to highlight the current state-of-the-art and future directions of SPH for novel energy-efficient hardware platforms. We would like to invite contributions from academic and applied areas, reporting on both complex applications and the design of algorithms dedicated to how to best take advantage of the changing hardware landscape.
Prof. Dr. Thomas Rung
Dr. Benedict D. Rogers
Guest Editors
Manuscript Submission Information
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Keywords
- SPH
- Particle Methods
- Meshless Methods
- Multi-Physics
- Parallelization Strategies
- High-Performance Computing
- GPU Computing
