Simulating and Visualizing Fluid Flow: HPC challenges
This session provides a common platform for effective discussions between the CFD application engineers and researchers and developers of HPC hardware and algorithms. In this session we intend to discuss the best practices, current challenges and way forward for using CFD in HPC environment to solve/visualize real life complex fluid flow and heat transfer problems in various domains ranging from Aerospace, Healthcare, Oil & Gas and many others. Additionally, we also want to float the idea of starting an industry driven research consortium on this area. Below are some of the topics covered in this session:
- Computational Modeling of Multiphase Flow
- Computational Modeling of Free Surface Flow
- Fluid Structure Interaction
- Complex Heat Transfer and thermal management
- Turbulence Modeling
- Multiphysics Modeling
- Complex Rheology of Non-Newtonian Fluids
- CFD for Biomedical applications
- High Performance computing (HPC) challenges for CFD
Numerical modeling of complex flows – An HPC challengeSpeaker(s):
Anindya Kanti De, Amol Thakre, Ishani Roy (GE Global Research – Bangalore)
The increasing dependence on predictive modeling in guiding design & development of products in a wide range of technology & engineering applications has continuously pushed for development of newer tools and methods, aiding detailed simulation of complex physical phenomena. One such area which is currently going through a steady evolution in modeling methods is complex flows. These flows often involve varying levels of complexities ranging from multi-phase mixtures (mostly) in the turbulent regime, length and time scales spanning several orders of magnitude, particulate matters as well as flow through deformable walls. Complex physics, high resolution grid and time scales demands high performance computational infrastructure. This includes advanced hardware, architectures & storage, as well as enhanced capabilities in pre-processing, solver, post-processing and visualization.
In this presentation, we will focus on some relevant challenges & learnings in the context of two applications, viz. blood flow through a human-heart and multiphase flow-regime transitions in oil and gas applications. The necessity for complex flow modeling requires simultaneous development of advanced algorithms and steady evolution in processor architecture. Today, many supercomputing facilities are built on heterogeneous architectures combining different processor types enabling faster and accurate computation. Recent developments have necessitated formulation of novel algorithm that can transgress architectures and platforms. The presentation will also briefly highlight two such methods, Lattice-Boltzmann Method (LBM) and Smoothed Particle Hydrodynamics (SPH), applied to the complex flows mentioned above.
Challenges in Flow and Thermal Response Estimation for Detailed DesignSpeaker(s):
Suman Basu (Samsung)
Acceptance of CFD as design tool has grown fast. Improvement in computational power and parallel computation has enabled CFD modelling of complete product with all the details. However, unsteady computation, to predict response time for a detailed design, remains a stumbling block. Even with the help of HPC, it is difficult at times to complete the computation within the stipulated time in a design process. Only a small fraction of the data generated through such computation is of any use for the design. Therefore, experience of the CFD engineer plays a vital part in deciding which are the important and relevant information. Multiphase flow and conjugate heat transfer problems pose considerable challenge to CFD engineers in this respect. For CFD to be accepted as a design tool to the larger community, these difficulties must be effectively overcome.
Smoothed Particle Hydrodynamics (SPH) - An Innovative CFD Approach and its Computational ChallengesSpeaker(s):
Aarthi Thyagarajan (Shell)
Smoothed-particle hydrodynamics (SPH) is a computational method used for simulating fluid flows and solid mechanics. It was developed initially for astrophysical problems. It is gaining interest for complex situations such as free surface flows and Fluid-Structure Interaction (FSI) involving large deformation. The other category of problems where SPH can be used are those involving multi-physics (eg. multi-phase, heat and mass transfer coupled with reaction), multi-scale (eg. mesoscale and macroscale effects) and problems that involves irregular/complex solid geometry. In terms of accuracy, SPH results are equivalent to grid based methods for several benchmark cases. In this talk we will briefly address how SPH is advantageous compared to the standard/conventional CFD techniques for the aforementioned problems. SPH is a particle based method, and one of the main challenges in using SPH is its computational efficiency. We will address in detail the scales of capability/computational complexity that are required to handle some of the situations/problems and how HPC plays a major role.
HPC bringing WOW factor to Visual worldSpeaker(s):
Shajy Thomas (Moving Pictures)
Do you know it would take 445 Years to render Godzilla on a single computer
Do you know creating Avatar Pandora virtual world consumed petabytes of storage
With the unrealistic expectation of the viewers, directors Visual effects and animation movie production is becoming more and more challenging, While the real world is working towards sustainability the reel world working on showing unrealistic and futuristic dream.
The technology requirement whether its high performing rendering or high throughput storage or strong network backplane or review mechanism is increasing very rapidly. Any high quality VFX or Animation movie will involve a large HPC cluster computing millions of render hours ,millions of tasks providing the best visual experience. Each project has its own complexities and requirements which relates to dynamic Workload to be managed with minimum error rates and optimum utilization.
Over the Session We will talk about these workflows, behind the scene HPC contribution making it possible, few complexities and challenges, How HPC is leveraged to address these challenges, How technology plays a role bringing in life to dumb 3D models , how the impossible shots are done with realistic feel, what does it take for the Godzilla to break a building, or Spiderman to jump a tower or Pandora virtual world to be created.
Better physics and throughput in CFD with HPCSpeaker(s):
Mohan Srinivasa (ANSYS)
For a practicing engineer the charm and promise of HPC is the ability to simulate problems with more realism and detail faster than was possible before. With examples from several industries I will discuss how advances in CFD models and HPC has made it possible to gain more reliable results faster for a wide range of problems. I will discuss how engineers are using advances in HPC to gain better insights and higher productivity by utilizing HPC solutions from desktop and high end workstations, shared compute clusters and enterprise HPC deployments.