Intelligent Light and FieldView

Uncertainty Quantification (UQ) at ASME V&V Symposium

Uncertainty Quantification (UQ) of CFD data.

Earlier this month at the ASME V&V symposium, Seth Lawrence, a graduate student at our University Partner Northern Arizona University, presented his Master's thesis work on "Verification, Validation and Uncertainty Quantification of Turbulent Twin Jets". Seth was advised by our own Dr. Duque who maintains an adjunct Faculty position @ NAU. This event was Seth's first outing at a major international technical symposium. He did a great job of presenting (and defending) his work to the leaders in the field of V&V/UQ, such as Oberkampf, Roy, Celik and Eca. The work was a Challenge Problem sponsored by the ASME V&V 30 Committee.  GREAT JOB SETH!    

In Uncertainty Quantification (UQ), engineers utilize standardized procedures such as the ASME V&V 20 and V&V 30 guidelines to account for the effects of probabilistic inputs to a CFD simulation to arrive at a non-deterministic answer. Through UQ, an engineer could state with 95% certainty answers to their design question while justifying and documenting how they arrived at their answer.

This challenge problem was the only one at the symposium to focus on UQ. It is a key area of interest for those seeking to capitalize on information gleaned from verification & validation work in new design studies. 

To combine CFD and UQ analysis, Mr. Lawrence created an automated workflow using FieldView to post-process the results of Fluent solutions and pass data to Dakota (Sandia National Lab) and then pass data from Dakota as input to Fluent in an iterative process. FieldView was also used to visualize the CFD data to create images for the presentation and 3D PDF to share results.

"Seth did a great job presenting to the leaders in the VVUQ community. His work was well received and cited by other presenters later in the symposium.  It was gratifying to hear statements among veteran symposium participants including 'This is the first time I've seen error bars on a CFD result, very impressive.'"

Earl P. N. Duque, PhD Manager of Applied Research at Intelligent Light

Mr. Lawrence noted that he enjoyed the chance to see how the experts in this field approached the benchmark ASME turbulent twin jet numeric model validation problem.

Professor Tom L. Acker from NAU and Intelligent LIght's Earl P.N. Duque served as advisers on the project.

​Mr Lawrence used the 3D PDF export capability in FieldView throughout the development of the CFD model, allowing him to easily share results of his grid convergence study (CGI) and in the observed order of the solver (p-obs). 3D PDF files are downloadable below.

"Throughout the development of the CFD model, I made good use of the 3D PDF generator that is available in the new FieldView 16.1 package. This was very helpful in the presentation of model results, and provided the ability to easily send detailed model results of large CFD datasets in the form of a small file via email, and the recipient does not need any special software to view the 3D PDF results - fantastic!"

Seth Lawrence, Northern Arizona University
Download 3D PDF. Numerical uncertainty in y-velocity. Adobe Acrobat Reader recommended for viewing. 3D PDF content is not supported within web browswers.
Download 3D PDF. Observed y-velocity. Adobe Acrobat Reader recommended for viewing. 3D PDF content is not supported within web browsers.

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Workshop: Extract-based and In Situ Methods for HPC Enabled CFD

To be held August 3, 2017, in conjunction with the ASME Fluids Engineering Division Summer Meeting​ at the Hilton Waikoloa Village, Waikoloa, Hawaii

Workshop Objectives

This workshop will assess the state-of-the-art in CFD Visualization and Post-Processing in High Performance Computing (HPC) environments. Specifically the issues of data transfer from remote HPC resources, a comparison of remote graphics vs. extract methods, and the trend toward in situ methods. Real world examples of industrial CFD workflows will be presented that offer a path to greater fidelity and faster throughput enabling an increased use of unsteady simulation.

Presenters

Prof. Kozo Fujii, Tokyo University of Science/ ISAS-JAXA 
Revisit the Role of Research Graphics in HPC Post Processing

Yves-Marie Lefebvre, FieldView Product Chief, Intelligent Light
Unblocking Data Bottlenecks in HPC CFD with Extract-based Workflows

Steve Legensky, Founder and General Manager, Intelligent Light
In Situ: Real and in Production

Read presentation abstracts

Who should attend

Researchers and practitioners in aeroacoustics, combustion, LES and large scale CFD and CFD solver code technologists.

Thursday, August 3, 2017
Lunch for all FEDSM participants sponsored by Intelligent Light
Workshop from 1:30 to 4 PM

This event is free, but seating is limited and advanced registration is required.

To register, please send email to events@ilight.com with your full contact information and the number of people in your party. Location details will be provided with your registration confirmation.

Making Collaborative CFD Fly

"This method of aggregating data and standardizing the interrogation of the data, especially large scale, full 3D multiphyisics data is very, very necessary and very, very useful. This partnership is exciting and we are exploring the boundaries of what we can achieve with this."

Nathan Hariharan
Chair, AIAA Helicopter Hover Prediction Workshop

The world's helicopter community came together to study the complex physics of rotorcraft in hover using CFD. They needed a HPC collaboration hub that minimized researchers' efforts to collaborate in full 3D. We made it work for the AIAA Hover Prediction Workshop and we can make it work for you.

Join Dr. Nathan Hariharan, Chair, AIAA Helicopter Hover Prediction Workshop, Dr. Earl Duque, Manager of Applied Research at Intelligent Light, and Michael Senizaiz, ‎Chief Technology Officer at R Systems, as they explore how work done to support the Hover Prediction Workshop is yielding valuable lessons for any organization looking to streamline its CFD workflow.

Learn how Intelligent Light and R Systems provide the CFD expertise and on-demand HPC capability to make high-performance CFD workflow a reality:

  • Enable data sharing among many disparate members of the organization: CFD Engineers, Designers, Managers and Customers
  • Compare many different cases, even those with different meshes or from different solvers, etc.
  • Derive higher order features, like vortex path, automatically for comparison
  • Standardize the workflow so that input from many groups can be compared side by side, both visually and numerically
  • Utilize on-demand HPC resources to run automated post-processing workflows across all the datasets producing standardized outputs and enabling collaboration

A live Q & A with the speakers will follow the presentation.

When: Tuesday, May 9, 2017, 2:00 PM Eastern

Harnessing the power of HPC for success in CFD

"To achieve 45 seconds of CFD at 60 Hz, we used VisIt/Libsim in situ to create extracts that were 21X smaller than the volume files, wall clock times were 10X less to produce the XDB files (extracts) and transfer times and space requirements were also greatly reduced. We were then able to post-process in hours what had been taking days."

Intelligent Light will hold a one-day event on harnessing the power of HPC for CFD engineers. New methods for handling large CFD data sets will be presented with a special focus on using data computed on remote HPC resources. Case studies of innovative solutions in use by our clients today will provide concrete examples of how we can put the same technologies to work for you.

You will learn:

  • How extract-based workflows are being used in industry to unblock data bottlenecks
  • How in situ and extracts can help you increase fidelity: finer meshes, more transient time steps and the ability to explore more parametric options
  • How to take full advantage of remote HPC with a combination of local and remote rendering options and by leaving large files in place on remote systems
  • How automated report generation done in batch enables our clients to get the reports they need on time

We hope you will participate and learn how you can join the growing number of organizations that are Harnessing the power of HPC for success in CFD

When: Thursday, May 18, 2017, 10:00 to 14:00

Please join, Steve M. Legensky, Founder and General Manager of Intelligent Light, Yves-Marie Lefebvre, FieldView Product Chief and Dr. Earl Duque, Manager of Applied Research, for morning coffee beginning at 9:30.

Buffet lunch is included. Please let us know of any special dietary requirements.

Location

Daresbury Laboratory
Sci-Tech Daresbury
Keckwick Lane
Daresbury
WA4 4AD

Directions to Daresbury Laboratory .

Participation is free, but pre-registration is required. To register or for more information, please send email to Shane Wagner: sww@ilight.com

Updated: In Situ Processing and Workflow Innovation at Par CFD

UPDATED with new speaker info 4/17/2017

The state of the art in HPC-driven CFD will be explored this May, at Parallel CFD (ParCFD) is Glasgow, Scotland, and Intelligent Light will share news from the front lines of CFD as it is used in production. 

In a plenary session, Steve M. Legensky, Founder and General Manager of Intelligent Light, will present ​A Survey of Production Applications of In Situ Post-Processing to Enable HPC-Scale CFD", giving real world examples of how our clients are using in situ workflows designed by Intelligent Light to eliminate file transfer bottlenecks, allow increased fidelity and faster turnaround. 

A mini symposium "In Situ Processing for Computational Fluid Dynamics Data Analysis and Visualization" will be co-chaired by Dr. Earl Duque, Manager of Applied Research at Intelligent Light, and Dr. E. Wes Bethel, Senior Computer Scientist at Lawrence Berkeley National Laboratory. Speakers include:

  • ​E. Wes Bethel - Lawrence Berkeley National Lab -  "In Situ Methods, Infrastructures, and Applications on HPC Platforms: Knowledge Discovery with Minimal I/O"
  • Seiji Tsutsumi - Japan Aerospace Exploration Agency - "Best practice for in-situ visualization of large-scale data in supercomputer"
  • Brad Whitlock - Intelligent Light - "Recent improvements to VisIt/Libsim" 
  • Hadi Salimi - French Institute for Research in Computer Science and Automation  - "Damaris: In Situ Data Analysis and Visualization in Support of Large-Scale CFD Simulations" 
  • Dave Pugmire - Oak Ridge National Lab - "In transit visualization of full and reduced simulation data on high performance computing platforms"

If you plan to participate at ParCFD we hope you will take the opportunity to meet with Steve Legensky and Earl Duque at the sessions mentioned above or at our table in the exhibit area. If you are not able to attend but would like to learn about in situ processing and workflow innovation for production CFD, please contact us

ParCFD is an annual international conference devoted to recent developments in parallel computing and its applications to the field of CFD. The 29th International Conference on Parallel Computational Fluid Dynamics will take place at the University of Strathclyde in Glasgow, Scotland from 15-17 May 2017, at the flagship Technology and Innovation Centre.