Intelligent Light and FieldView

Come See Us at CONVERGE User Conference Europe

Visit us at our exhibit table and attend our presentation to learn how FieldView can help you advance your CFD.

We are please to sponsor the conference and to meet with CFD practitioners who want to increase throughput and enhance the quality of their post-processing products.

Yves-Marie Lefebvre, FieldView Product Chief

Interactive Exploration of High Fidelity ICE Simulations

20 March 2018
2:30 PM

Yves-Marie Lefebvre will expand upon his presentation of "Interactive Exploration of High Fidelity ICE Simulations" by detailing techniques for interactive post with large data including sweep caching and the use of XDB extracts.

Request a meeting

Animation from Interactive Exploration of High Fidelity ICE Simulations 


ScienceNode: Wind Farm CFD by University of Wyoming and Intelligent Light

In Situ processing enables full wind farm simulation by reducing file size from 234TB to under 1TB

Excerpted from an article originally published on ScienceNode. Read the complete article

Researchers at the University of Wyoming (UW) and Intelligent Light are working hard to improve the efficiency of wind energy. One aspect they're currently investigating is the use of computational fluid dynamics (CFD) to simulate, predict, and improve the performance of wind farms.

CFD uses supercomputers to model the behavior of fluids such as air or water over moving surfaces. In this instance, UW professor of mechanical engineering Dimitri Mavriplis and Earl Duque at Intelligent Light turned to CFD to study how wind currents transform after coming into contact with a moving turbine's blades in the context of a complete wind farm.

Using the Cheyenne supercomputer at the National Center for Atmospheric Research (NCAR)-Wyoming Supercomputer Alliance, Duque and UW researchers Mavriplis, Michael Brazell and Andrew Kirby were able to model wind farms in unique ways. 

What really makes their research unique is the use of in-situ processing. Unlike traditional visualizations produced from stored data, in-situ processing means that visualizations and analysis can be created as a simulation takes place, without writing to disk.

In-situ processing eliminates file transfer bottlenecks, allows increased fidelity, and faster turnaround. 

"In-situ has helped reduce the amount of 3D data that we need to store. Just the restart files take 10 TB on a 12-hour run. Automation has gone way up; we have scripts that go straight from simulation to animation. Also, in-situ has helped with debugging—I don't need to pull down 3D data, and I can just use slices, save those to a FieldView XDB file, and then view that on my local machine."

Michael Brazell, University of Wyoming

Excerpts trom an article was originally published on Read the original article.

CFD images courtesy of Prof. Dimitry Mavripilis and Andrew Kirby, University of Wyoming, an Intelligent Light University Partner.

Cranfield University - Teaching Fluid Dynamics with FieldView

Cranfield University has deployed FieldView in their Computational Fluid Dynamics (CFD) program for Master and PhD students. Dr. Antonis F. Antoniadis is the course director of the MSc in CFD at Cranfield University and also the curriculum designer:

The Masters program will provide a cohort of 50 students with access to and lessons in the use of FieldView for interpreting CFD.

MSc in CFD students at Cranfield University learn the fundamentals of CFD i.e. numerical methods fluid mechanics and heat transfer, programming and high performance computing (HPC) as well as data analysis. The course uses CFD codes like Fluent, STAR-CCM+, Pointwise, open-source and in-house solvers. Students develop their own solvers and use Fieldview to debug their codes and interpret results. The course is also focused on the applications of CFD for various industries including aerospace, automotive, energy and discrete manufacturing. The students are using state-of-the-art HPC facilities to solve industrial-scale problems and employ FieldView to visualize and post-process data.

"FieldView is another excellent addition to our CFD software envelope within our course. FieldView makes post-processing and visualisation tasks much easier than ever before. The intuitive interface also enables students to work with complex CFD data very quickly. We are thrilled by the support of AC&E and the quality of the FieldView workshop delivered by Anthony Mosquera"

Dr. Antonis F. Antoniadis
Director of MSc in Computational Fluid Dynamics at Cranfield University

Course info for: Computational Fluid Dynamics MSc

Support for the program is provided through the Intelligent Light University Partners Program and Applied Computing and Engineering (AC&E) who provides local training & support. 


Come See Us at AIAA SciTech 2018!

We look forward to AIAA SciTech all year because it's a great place to meet with you, our clients and partners, to learn about what you are working on, find out about your needs and to share news and updates on our products and services.

Please join us in conference sessions, workshops and in our booth to learn how we are helping industry leaders like you to remove data bottlenecks and reduce costs with our FieldView products, engineered CFD workflows and advanced research initiatives.

Plus this is your first chance to get a demo of our new release: FieldView 17.

UPDATE: Join Steve at our In-booth presentation summarizing his presentation for the Future CFD Technologies Workshop
Tuesday, 9 January 2018 at 7:00 PM (booth #201)

Request a meeting

Conference Sessions and Workshops

 "Visualization and Data Analytics Challenges of Large-Scale High-Fidelity Numerical Simulations of Wind Energy Applications"
Andrew C. Kirby, Zhi Yang, Dimitri J. Mavriplis, Department of Mechanical Engineering, University of Wyoming, Earl P. N. Duque, Brad J. Whitlock, Intelligent Light.

Future CFD Technologies Workshop
Sat & Sun 6–7 January 2018 (agenda)
8:00 AM - 5:00 PM

Steve M. Legensky, Founder and General Manager, Intelligent Light

"The Tail Wags the Dog – How In-Situ Processing and Data Modeling Will Enable Knowledge Extraction at Scale to Address the 2030 CFD Vision" 

Sun - 7 January 2018
03:30 PM -04:00 PM

Typically, CFD data analysis and visualization is an afterthought and at the back end of "the dog"; in order to fully exploit the knowledge contained in simulations at exascale, the tail needs to wag the dog. Simply writing ever larger files containing mesh and results will not scale when it comes to extracting knowledge from simulations. Inspired by early NASA researchers and the Department of Energy's national labs, mechanisms for processing results directly via "in situ" or "in transit" techniques are adopted for large scale CFD workflows. This talk will review applications of those technologies and how they may impact our ability to achieve the 2030 goals in knowledge extraction and Uncertainty Quantification. In addition, data modeling and analysis may play a key role in directly extracting the knowledge buried in large unsteady CFD simulations and experiments. We will explore where further developments are needed to fully exploit techniques such as Dynamic Mode Decomposition, Machine Learning and other Reduced Order Model methodologies.

Earl Duque, PhD Manager of Applied Research, Intelligent Light

Visualization Session MVC-4
Wed - 10 January 2018
9:30 AM - 12:30 PM; Tampa 1

"Visualization and Data Analytics Challenges of Large-Scale High-Fidelity Numerical Simulations of Wind Energy Applications"
Andrew C. Kirby, Zhi Yang, Dimitri J. Mavriplis, Department of Mechanical Engineering, University of Wyoming, Earl P. N. Duque, Brad J. Whitlock, Intelligent Light.

Wed - 10 January 2018
10:00 AM - 10:30 AM

Visualization and data analysis techniques are explored to alleviate big-data problems found in simulations regarding wind energy applications including full wind farm simulations with blade-resolved geometries for wind turbines. Techniques for streamlining workflows for large-scale simulations are investigated and instrumented in the W2A2KE3D1 software framework. In-situ analysis through Libsim is instrumented and used to export data of high-density wind turbine simulations that is post-processed using FieldView and VisIt.


Special offer for users of CONVERGE

Intelligent Light is making a one-time special offer to users of Converge to get FieldView the industry's number one post-processing software at half price.

For a limited time you can purchase FieldView for only $2,500, a 50% discount off the regular price. You will get a one year, one user license for use with Converge data.
Contact for more information.

See for yourself! 

Try FieldView free for 30 days on your own systems with your own data. But you must act quickly as the offer ends January 30, 2018.

In addition, if you purchase a license during this special promotion we will offer a 10% discount off of your renewal next year.

Do you want to Advance your CFD?
Contact Shane Wagner at or 201-460-4700 ext. 205 for details on this offer.

Register for a Webinar to learn more about how you can advance your CFD with FieldView. 

Please note: This offer not available in Japan. Contact VINAS for information in Japan.