Intelligent Light and FieldView

“Wow 5.7M points took less than one minute to point probe using Fieldview 17! This is substantially faster than my solver's tool.”

Modal Analysis with FieldView 17

CFD Data Analysis with FieldView 17
Thursday, May 3 
12:00 noon EDT (16:00 GMT)
          Sign Up Button

If you rely on Excel, Matlab, Octave and NumPy in your daily work, FieldView 17 allows fast I/O of CFD data for further analysis through MAT-File and CSV.

Query your CFD results at super-high speed (200,000 points/sec and more) from a list of points provided in *.mat, *.csv or plain text.

FieldView surfaces can also be exported to MAT-File and CSV to perform Reduced Order Analysis (DMD, POD, etc.) Fourier transforms and many more analyses.

Because performance matters, FieldView 17 also provides:

  • New built in Q-criterion function - easy to use and 10 X faster than previous FieldView
  • 10 X faster reading of arbitrary polyhedral cells
  • 2 X faster Surface Flow calculation
  • 40% faster reading of XDB extracts

Please join us for this live web event. If you would like to watch a recording, register now, and we will send you a note when the recording is available.

Please join us.

Thursday, May 3  
  • 12:00 noon EDT (16:00 GMT)

  • Sign Up Button


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Yves-Marie Lefebvre
FieldView Product Chief
Intelligent Light



On Demand webinar.  Join Torbjörn Larsson, Creo Dynamics AB, and Yves-Marie Lefebvre, Intelligent Light, to learn how an extract-based workflow via FieldView XDBs enables Formula One teams to achieve their throughput goals.

View the full webinar or segment of your choice


  Complete   55m  Full Webinar
  Part 1   5m  Intro to Formula One - rules, exterior shaping...  
  Part 2   16m   Aerodynamics - forces, points, lap time...  
  Part 3   11m   Finding Aero Performance - tools, philosophy, strategy  
  Part 4   8m  CFD Workflow - challenges, strategies
How much CFD data needs to be processed? What are we looking at?
  Part 5a   13m  CFD Data Analysis - Effects from wind direction, pressure differences and distribution.  
  Part 5b   18m   How to process and deliver all that CFD data on time?
♦ Thousands of cut planes per case 
♦ Thousands of cases 
♦ Developing a high performance CFD workflow
with Intelligent Light
  Part 6   1m  Conclusions  


You will learn: 

  • How F1 teams rely on automation to achieve exceptional results
  • Why traditional automated post-processing is no longer feasible
  • How FieldView XDB workflow makes success possible
  • How you can benefit from XDB workflow to get high quality results faster, save less data and share results across your entire enterprise

Speaker Biography

Torbjörn Larsson has an impressive background in aerodynamics and CFD methodology. His track record in Formula 1, most recently at Ferrari, establishes him as a preeminent CFD workflow engineer. He has been instrumental in building up the CFD department for the Sauber F1 team and has since led the CFD teams at Sauber, BMW and Ferrari to much success in Formula 1.

Mr. Larsson is a fluid dynamics and CFD methodology engineering consultant at Creo Dynamics AB, helping organizations improve the efficiency of their CFD operations.


"The "traditional" way of post-proccessing, loading each full CFD database and performing various data operations and comparisons is not feasile, not even if it is being fully scripted and automated!"

- Torbjörn Larsson, Creo Dynamics

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Tobjörn Larsson
Fluid dynamics & CFD methodology
Engineering Consultant, Creo Dynamics AB


Yves-Marie Lefebvre
FieldView Product Chief, Intelligent Light


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The archive for this webinar is now available. View Recording!.

This webinar includes a live interactive sessions with complex data. However, the webinar format requires substantial degradation of graphics performance. To give you a realistic view of interactive performance we are providing a movie of a live screen capture of an interactive session. We are also providing two high quality versions of the movies that were show during the event.

See what the FieldView user's experience looks like by downloading and viewing the following videos:
  1. In-Cylinder Combustion 3-Views
  2. In-Cylinder Combustion 4-Views
  3. In-Cylinder Combustion interactive exploration of transient sequence

You will learn how to:

  • Create and analyze ICE simulations with hundreds of time steps using hundreds of thousands of simulated particles
  • Interactively explore this high fidelity data to improve understanding of your results
  • Exploit a data management strategy to make these large problems tractable

Learn how you can create and analyze ICE simulations with hundreds of time steps and hundreds of thousands of simulated particles. Interactively explore your high fidelity data to improve understanding of your results.

Attend this special webinar by Intelligent Light and Convergent Science to see how you can escape current limitations and achieve more from your CFD.

An innovative transient post-processing approach for ICE simulations

In the quest to improve simulation accuracy, and fueled by the rise of HPC, simulations are being performed on ever finer meshes and with larger number of particles. In the case of internal combustion engine CFD, which requires very long transient runs in order to reach convergence, this has become problematic due to the huge amount of data and the time it takes to review it.

This presentation will describe, through an ICE case study simulated with CONVERGE, an innovative post-processing approach that allows interactive analysis of several hundreds of time steps, containing hundreds of thousands of simulated particles.  Combined with more traditional methods (transient animations, time history plots...), this interactive investigation technique will provide unprecedented insight to complex transient flows.

A question and answer session will follow the webinar.


The archive for this webinar is now available. View Recording.


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Clayton Grow, PE,
Account Engineer, ConvergenScience, Inc.

Yves-Marie Lefebvre,
FieldView Product Chief, Intelligent Light


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The archive for this webinar is now available. View Recording.

Dr. Earl P. N. Duque will present "Real World Example Cases: Analysis From Wind Energy and High Lift Drag Prediction Workshop Simulations."

You will learn about methods for:

  • 100X to 1000X Data Reduction
  • Effective use of remote HPC resources for both interactive and batch operations
  • Working with data from multiple solvers including OVERFLOW2, OpenFOAM

“Cray systems provide central computational resources at commercial, academic and government centers around the world; often serving distributed user communities.  Efficient tools to analyze CFD simulation results and enable the remote user community are essential.   Management, automation, and remote visualization capabilities in FieldView are a proven technology for post processing whether the data is across the room or across the country. Cray is pleased to work with Intelligent Light to ensure this is a robust and efficient solution.”

                                                 Per Nyberg, Director of Cray Business Development

This work was recently awarded the IDC HPC Innovation Excellence Award. “For the Outstanding Application of HPC for Business and Scientific Achievements."
Dr. Duque will be joined by Greg Clifford, Manufacturing Segment Manager at CRAY.  Cray is partnering with Intelligent Light to help meet the data management and remote visualization demands of their clients.  The material provided in this webinar is a great example of how simulation data management can be done effectively in a Cray environment.
A question and answer session will follow the webinar.


The archive for this webinar is now available. View Recording.


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Earl P. N. Duque, Ph. D., Manager of Applied Research, Intelligent Light

Greg Clifford, Manufacturing Market Segment Manager, Cray



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The archive for this webinar is now available.   View Recording!


CREATE™–AV team and Intelligent Light tackle 45 seconds of flight time
with unique in situ XDB workflow

With a goal of improved pilot training for sea-based aircraft operations, the CREATE–AV team took on the task of coupling CREATE–AV Kestrel to the Navy flight simulator CASTLE.  This two-way coupling might lead to better simulation of a difficult landing environment.

The high temporal fidelity of 45 seconds at 60 files per second meant that an innovative approach would be needed to handle the data.  The CREATE–AV team reached out to Intelligent Light for help.   The unique workflow combined libsim and FieldView XDBs (extracts) to enable detailed animations that gave physical insight in hours rather than days.

You will learn: 

  • Benefits of in situ post-processing
  • Basics of implementing an in situ workflow
  • How to utilize XDB extracts that are 10 to 1,000X smaller than solution data


Speaker Biographies

Jim Forsythe is an Aerospace Engineer working for the Navy at Patuxent River NAS in the Aerodynamics and Store Separation branch.  He does development and quality assurance work for the DOD HPCMP Create-Air Vehicles program.  He received a B.S. and M.Eng. from Cornell University, and a Ph.D. from Wichita State University.  He flew KC-135s for the Air Force and taught at the Air Force Academy while on active duty.  He has also worked for Cobalt Solutions, taught at UNH and UMD as an Affiliate Professor, and served as a N.H. State Senator.

Brad Whitlock is a visualization and post-processing engineer in Intelligent Light’s Applied Research Group. He is also a founding developer of VisIt, a massively parallel visualization tool designed for high performance computing environments. Brad joined Intelligent Light in 2013 to develop a hardened version of VisIt that will serve as an enabling technology for Intelligent Light’s commercial data analysis and visualization products. Prior to joining Intelligent Light, Brad spent 15 years at Lawrence Livermore National Laboratory developing visualization and analysis software for HPC environments.


The archive for this webinar is now available. View Recording.


Jim Forsythe, Ph.D. Brad Whitlock, Ph.D.

Jim Forsythe, Ph.D.
Software Quality Assurance, CREATE-AV

Brad Whitlock
Post-Processing & Visualization Engineer, Intelligent Light