Intelligent Light and FieldView

Data Analytics for Engineering: THE Topic for the 21st Century

Last June I was asked by Cambridge University Press to review a manuscript for a new book on data-driven engineering by Steve Brunton and Nathan Kutz, two leaders in this field. I have been studying this topic and participating in various research and workshop activities on modal and state-space analysis techniques. I was both flattered and energized by this project. The book has just been published and is going to be a wonderful reference and teaching tool for many years to come. I encourage anyone interested in engineering applications of machine learning, dynamical systems and control to check it out at Cambridge University Press.

Come See Us at Aviation 2019

This year at AIAA Aviation, I will participate in several workshops and sessions. I look forward to seeing everyone in Dallas, to hearing what you have all been working on and to share the latest from Intelligent Light. I will be happy to discuss your work and the work we are doing in the areas of Verification and Validation, Uncertainty Quantification, and High Order and In Situ methodologies for CFD and Data Analytics.

I have been asked to be one of the judges for the 3rd Flow Visualization Showcase. I will join Brian R. Smith, Lockheed Martin Senior Fellow, Aerodynamics and CFD, and other industry experts in selecting winning visualizaions in three categories:

  • Most Artistic Flow Visualization
  • Most Quantitatively Descriptive Flow Visualization
  • Most Comprehensive Flow Visualization

Come See Us at Turbo Expo 2019

Join us at Turbo Expo 2019 in booth # 212 to learn how we are advancing CFD with the new FieldView 18 and HPC FieldView​.

We look forward to discussing your needs and how FieldView can help you increase throughput, improve the quality and realism of their presentations, and help you get better answers so you can make better decisions.

If you would like to arrange a meeting in advance, please send email here: Request a meeting

FieldView image courtesy of Dr. Steve Gorrell, Brigham Young University

FieldView Training - Phoenix-Tempe, June 11-12, 2019

Join us in Phoenix-Tempe for a free FieldView training. We are hosting a two-day course open to all. 


Tuesday and Wednesday, June 11 and 12, from 8:30 am to 5:00 pm both days


Hilton Garden Inn, Phoenix-Tempe ASU Research Park 7200/7290 S Price Rd, Tempe, AZ 85283

The event is being provided at no charge. Intelligent Light will provide all hardware and software needed for the training. Attendance is limited to 14 engineers.

Lodging and travel is the responsibility of the attendee.

To register, please send an email here. Please include your name, company, phone and the number of participants you would like to have attend.

What you will learn:

  • FieldView Basics - Import/Export of data, local and remote operation, batch jobs, creating visualizations, saving and restoring restarts, saving images.
  • FieldView Advanced - User defined functions, quantification methods, thresholding and dynamic clipping, linked surfaces, unrolled surfaces, and working with transient data.
  • Flow Feature Extraction - Surface flows, separation and reattachment, vortex cores and shocks.
  • Automation - The use of restarts, scripts, FVX and Python.
  • Extract-Based Workflows - Overview of extracts (XDBs files, VTK). Creation of XBDs and use with XDBview and for automation and comparison. Creation of XDB in situ.
  • Data Analytics - Solution decomposition and reduced order analysis.
  • Overview of HPC FieldView
  • FieldView 18 – New Features, Creating Realistic Images with new Material Rendering and Environments

All sessions include both a lecture and a hands on section guided by experienced CFD practitioners and FieldView support staff.

Who should attend: CFD practitioners that want to increase throughput, improve the quality and realism of their presentations, and get better answers to help their organization make better decisions.

We hope to see you in Phoenix!


In Situ Data Management at DOE Workshop and SIAM CSE

​As CFD datasets get larger and unsteady computation becomes more common, file I/O is an increasing bottleneck. Methods that write post-processing extracts directly from solvers as they are running have proven to be a solution to this problem. Intelligent Light has long advocated for this approach and recently we were asked to participate in activities to advance the state of the art in this area.

In January, I participated in the DOE's "In Situ Data Management (ISDM)" workshop which focused on defining areas for research intended to ease the analysis and understanding of massive simulations enabled by exa-scale computing. A workshop report is forthcoming.

In February, I was invited to present at a mini-symposium at the SIAM CSE 2019 meeting aimed at avoiding the big data problem through in situ techniques.

If you would like to know more about In Situ Data Management and CFD Data Analytics or to schedule a meeting with Steve Legensky, send email to

Data from Juan D. Colmenares, Svetlana Poroseva, Yulia T. Peet, and Scott M. Murman. "Analysis of uncertainty sources in DNS of a turbulent mixing layer using Nek5000", 2018 Fluid Dynamics Conference, AIAA AVIATION Forum, (AIAA 2018-3226). Simulations were performed on the Pleiades Computer system at NASA Ames Research Center. Images created by Intelligent Light.