Modeling Approaches in FLUENT for the Solution of Industrial CFD Applications on High-Performance Computing Systems
Tom Tysinger, Fluent
FLUENT is a widely used commercial software package for modeling fluid flow and heat transfer in complex geometries. It is capable of solving flows in both the incompressible and compressible regimes. FLUENT is used by engineering analysts and designers to reduce design time, improve product quality and optimize performance. The solution of real-world fluid flow problems requires both large memory and lengthy computation times. This has driven the implementation of FLUENT on parallel computers, reducing the turnaround time from days to hours, or from hours to minutes, and allowing larger and more complex problems to be modeled with greater fidelity. This presentation will describe some of the challenges involved in making a variety of diverse physical models and flow solvers perform efficiently on contemporary HPC architectures.
High Performance Simulation and Visualization in Engineering Systems
Kamal Jaffrey, Delta Search Labs [Authors: Ahmed Ghoniem and Kamal Jaffrey, MIT and Delta Search Labs]
The increasing complexity of products and the systems they comprise make traditional design, development and testing difficult. High performance simulation of engineering designs, in which complex physics, chemistry and dynamics interact over a wide range of length and time scales contributing equally to the performance of the system, are becoming possible thanks to the recent advancement of massively parallel and cluster computing, immersive visualization, and numerical algorithms. Of the many applications of HPS "Grand Challenges", the so-called multi-scale multi physics phenomena; combustion has received much attention due to its critical role in many applications including power generation, transportation and propulsion. Combustion simulation, where computational fluid dynamics methods must be further refined to capture the fine scales of multi species transport, and extended to incorporate chemical reactions, is extremely demanding; it has been estimated that simulating an IC engine operation accurately requires many days on 50+ teraflop machine! The conflicting demands on a combustion system; including high efficiency, safety and stability, high power density and extremely low emission, makes simulation-based optimization over a range of conditions necessary and very attractive to designers. Progress in simulation approaches, including grid-free and Lagrangian methods, adaptive, moving and multi grids methods, hybrid Eulerian-Lagrangian methods, fast chemistry reduction algorithms, etc. is bringing this goal closer. The talk will review progress in the field and summarize many of the remaining challenges.