Intelligent Light and FieldView

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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Advance your CFD - IL at SC17

Get the latest info on high performance CFD workflows and In Situ processing using HPC from sessions in the technical conference and on the exhibit floor in booth #807.

  • Delivered: VisIt to Cinema - Scalable Knowledge Extraction for Industrial CFD
  • VisIt Update: Ongoing performance enhancements and new features
  • HPC Powers Wind Energy: 10TB of data made interactive with XDBs and In Situ
  • We're moving HPC-powered CFD forward with In Situ

    ISAV2017: In Situ Infrastructures for Enabling Extreme-Scale Analysis and Visualization

    SC17 Workshop
    Sunday, Nov. 12th, 9:00-5:30 pm room 605

    The considerable interest in the HPC community regarding in situ analysis and visualization is driven by the desire to save I/O costs and time, increase accuracy with fine sampling of transient analysis and full utilization of HPC resources. As a member of the ISAV Program Committee, Intelligent Light will bring real world experience from our work on ultra scale simulations.

    Intelligent Light is a co-organizer with a team including four US National Laboratories. We also participate on the program committee and have a role in reviewing submissions for this full day workshop.

    Tutorial: In Situ Analysis and Visualization with SENSEI
    Presenters: Bethel, Bauer, Whitlock, Wolf, Loring, Rizzi
    Monday, Nov.13th, 8:30 am - 12:00 pm room 355-D

    The SENSEI community in situ data interface is an API that promotes code portability and reusability. From the simulation view, a developer can instrument their code with the SENSEI API and then make use of any number of in situ infrastructures. From the methods view, a developer can write an in situ method using the SENSEI API, then expect it to run in any number of in situ infrastructures. Attendees will learn the fundamentals of in situ data analysis and visualization leveraging this generic interface.

    click to enlarge

    Spend time with our experts

    Come by booth #807 or request a meeting, ask questions and explore how we can help you advance your CFD. Learn more about the ways IL is advancing CFD with HPC-powered innovation.

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    Intelligent Light and the CFD 2030 Vision - Live presentation at NASA Aug 17

    Intelligent Light and the CFD 2030 Vision​

    Steve M. Legensky
    and Brad J. Whitlock
    Intelligent Light

    NASA Ames Research Center
    August 17, 2017
    Video Archive Available Here

    ABSTRACT

    Over the past thirty years, computational simulation of fluid dynamics has made huge strides in meshing of complex geometries, computational efficiency and most importantly, greater fidelity in physics models. Current trends include greater adoption of unsteady methods via LES, higher order methods and alternatives to classical CFD such as Lattice Boltzmann methods. However, the majority of engineering applications remain constrained by computational and storage resources as well as schedule and time pressure. The CFD 2030 Vision highlights the need for improved Knowledge Extraction and Data Management tools that address the scale and fidelity of exascale class problems. Perhaps most interesting, these tools will enable non-deterministic engineering (NDE) in which variations in boundary conditions, discretization and models can more realistically predict the behavior of complex aerodynamic, propulsion or power generation systems.

    This talk highlights recent activities at Intelligent Light that include how to manage the massive data flows resulting from ensembles of unsteady CFD calculations, new tools that support engineering use of uncertainty quantification techniques and the latest HPC-FieldView software that combines the familiar interface of FieldView with the scalability of VisIt. Through the lens of post-processing and data analysis, we have gained a unique perspective on research and engineering use of CFD from the late 1980's through today. The talk touches on this history while giving examples of state-of-the-art petascale CFD and surveys the challenges that exascale computing is intended to address.

    Speakers' Bio

    Steve M. Legensky - Founder and General Manager of Intelligent Light

    Steve M. Legensky is the founder and general manager of Intelligent Light, a company that has delivered products and services based on visualization technology since 1984. He attended Stevens Institute of Technology in Hoboken, New Jersey and received a BE degree in electrical engineering in 1977 and a MS degree in mathematics in 1979. Steve's passion is applying computer graphics and data management to difficult engineering problems. Steve is an Associate Fellow of the American Institute of Aeronautics and Astronautics (AIAA) and has published and presented for AIAA, IEEE, ACM/SIGGRAPH and IDC.

    Brad J. Whitlock – Visualization and Post-Processing Engineer

    Brad Whitlock is a visualization and post-processing engineer in Intelligent Light's Applied Research Group and a founding developer of VisIt. VisIt is a powerful, massively parallel visualization tool designed for high performance computing environments. Brad joined Intelligent Light in 2013 to develop a commercially-hardened version of VisIt that serves as an enabling technology for Intelligent Light's HPC FieldView product. Brad's interests lie in scientific visualization, in situ processing, and parallel programming.

    Video Archive is available here

    For previous topics in AMS seminar series and to view recorded sessions: http://www.nas.nasa.gov/publications/ams 

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