Intelligent Light and FieldView

Come See Us at CONVERGE User Conference - Madison

Intelligent Light will present FieldView at the Converge UC in Madison, September 25-26, 2018. Please visit us at our exhibit table or attend our vendor presentation to learn how FieldView can help you advance your CFD:

  • Fastest for reading your Converge data
  • Side-by-side comparison across multiple cases
  • Easy and powerful automation
  • Data Analytics for unsteady results

Plus, get a sneak peek at the new FieldView version 18 with realistic rendering.

FieldView will help you deliver your best work, stand out from the crowd and increase the impact that CFD makes for your organization.

We are pleased to sponsor the conference and look forward to seeing you there.

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Steve Legensky at 70th HPC User Forum

​On Thursday, September 6, I will present "Data Science meets CFD:  FieldView Analytics in Engineering" at the 70th HPC User Forum in Detroit, MI.

I am pleased to have been asked to update the HPC community on our vision for using data science to complement and enhance CFD in science and engineering. This is a very active area of research today. In March Intelligent Light was honored to participate in the "US-Japan Workshop on Bridging Fluid Mechanics and Data Science" in Tokyo, the first such event in history. We have been meeting with our FieldView customers throughout the world to understand their needs and to see how we can help them solve problems through FieldView Analytics. Data science can help us to better understand the dynamical systems represented by CFD simulations and revealed by experiments, with the goal of getting better designs sooner with less computation.

For more info on the 70th HPC User Forum: www.hpcuserforum.com

The Agenda can be seen here: https://www.hpcuserforum.com/downloads/agenda.pdf

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Live Webinar - Easy Access to CFD Data for Analysis

CFD Data Analysis with FieldView 17

LIVE Webinar

Thursday, May 3
12 noon ET (1600 GMT)

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.

The 40 minute presentation will be followed by a live Q&A.


Presenter: 
Yves-Marie Lefebvre, FieldView Product Chief
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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 

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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.

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