Intelligent Light and FieldView

Come See Us at AIAA SciTech 2019

Join us at AIAA SciTech in conference sessions and in our booth to learn how we are advancing CFD with innovations in Uncertainity Quantificaton (UQ), Analytics for CFD and large CFD results handling. We have an eye on your largest problems today with HPC FieldView and FieldView 18 and are looking toward 2030 to ensure we will meet the needs of the CFD community tomorrow.

Visit booth #207 for a one-on-one demo of the new FieldView 18.

Request a meeting

Conference Sessions

Application of a CFD Uncertainty Quantification Framework for Industrial-Scale Aerodynamic Analysis

Wed, Jan 09, 5:00pm - 5:30pm, Torrey Hills

John Schaefer and Andrew Cary of The Boeing Company and Earl Duque and Seth Lawrence of Intelligent Light

In a joint effort between the Applied Research Group (Intelligent Light) and Boeing Research and Technology (The Boeing Company), the application of the latest developments in Uncertainty Quantification (UQ) are demonstrated as case studies for industrial scale CFD problems. Starting with a 2D NACA 0012 airfoil at zero lift, then moving to a 3D full-scale aircraft in high lift configuration, the latest UQ frameworks are implemented to determine numerical and model input uncertainty. This effort provides a step towards standardizing the use of UQ as a design and engineering tool to build confidence and reliability in scientific computational engineering and design.

Assessment of Model Validation and Calibration Approaches in the Presence of Uncertainty

Thu, Jan 10, 4:00pm - 4:30pm, Harbor H

Nolan Whiting and Christopher Roy of Virginia Polytechnic Institute and State University, and Earl Duque and Seth Lawrence of Intelligent Light

This paper discusses the investigation and implementation of various methods for quantifying Model Form Uncertainty​ (MFU) in scientific computing. Metrics were obtained through rigorous implementation of several MFU methods to produce comparison studies that quantify the conservativeness of each method. The findings include which methods perform best under different circumstances and provide a guide to best practices when choosing a method for quantifying the model form uncertainty in a computational UQ study.

Summary of 2017 SciTech Computational Environments Special Session Toward the CFD Vision 2030

Fri, Jan 11, 9:30am - 10:00am, Vista B

Andrew Lofthouse, CREATE AV Team, Earl Duque, Intelligent Light, Roger Davis, University of California‚ Davis

Computational Environments can be defined as the hardware and software required to efficiently use high performance computing resources and to easily extract knowledge from that data. As such, they underlie nearly all large-scale simulations. The CFD Vision 2030 report published recommendations for advancements in all areas of computational fluid dynamics that are needed in order to take advantage of Exascale hardware that is expected to be in operation by the year 2030. This paper summarized a special session held at SciTech 2017 sponsored by the Meshing, Visualization and Computational Environments technical committee that looked in more detail at the current status of computational environments and where additional research is required in order to efficiently use Exascale machines.

The session consisted of technical presentations and a question and answer period with a panel of invited experts. Computational environments are vital for efficient use of heterogeneous hardware architectures, large-scale data management, interfaces between multidisciplinary domains, uncertainty quantification and error analysis, as well as automation of complex simulations.

Spectre: A Computational Environment for Managing Total Uncertainty Quantification of CFD Studies

Fri, Jan 11, 10:00am - 10:30am, Vista B

Earl Duque and Seth Lawrence of Intelligent Light

The future of uncertainty quantification as a tool for computational engineering and design hinges on the management, execution and visualization of complex data-driven workflows. Whether the data is historic experiments or modern computational simulations, UQ workflows require onerous dedication to the management and synchronization of all available data. To address the needs of complex UQ workflows, the Applied Research Group at Intelligent Light has developed Spectre: A Computational Environment for Managing Total Uncertainty Quantification of CFD Studies. By encompassing a database, server and user-interface into a RESTful web deployed platform, Spectre provides seamless integration of data management, solver execution and visualization.

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Introducing FieldView 18

ultraFluidX simulation results courtesy of Altair
FieldView 18 has arrived! Download it today from our Customer Center or view our What's New in FieldView 18 document.

FieldView 18 adds realistic rendering, reflected environments and unlimited colors to bring your results to life. Increased performance, new data readers and advances in our CFD Data Analytics capabilities make FieldView 18 the fastest, most powerful FieldView ever. ​

Bring CFD to Life

Predefined Materials Provide an Intuitive Materials Selection

Easily apply predefined material properties from the new Materials tab. No need to adjust a long list of light reflection settings. Choose between six predefined reflected environments for a realistic effect that suits your application. Then add a background image to further increase the realistic impact of your scene.

Editable Material Colors - Choose from Over 16 million Colors

Materials like glass and plastic come in various colors in real life. FieldView 18 lets you color your surfaces with a virtually unlimited pallet. Hit the color wheel icon to select from over 16 million colors. Save and reuse your favorites. There is no limit to the number of colors used per session.

Filter Bar for Boundary Types - Easily Group Boundary Conditions by Name

Type a word in the filter bar and the list of Boundary Types automatically updates. Hit Select All, then OK, and the corresponding Boundary Surface gets created. In the same way, Deselect All operates on the filtered list. The Filter Bar supports wildcards and has been designed for performance on 1,000s of entries.

Data Analytics - Intelligent Light Continues to be at the Forefront of Data Analytics Applied to CFD

FieldView 18 comes with new MATLAB/Octave scripts for querying CFD results over time, performing a POD analysis and writing the results to PLOT3D. This allows you to close the loop and visualize modes as Iso Surfaces in FieldView, as shown in this image. Save videos as individual images to run an analysis on the pixels and avoid having to resample your data.

ultraFluidX simulation results courtesy of Altair
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HPC, In Situ and Data Analytics at SC18

Advances in the use of HPC, In Situ and Data Analytics for CFD dominate our contribution to SC18. Join us at events, in workshops and technical sessions and on the exhibit floor in Booth #826 to learn how these advances will help you.

Data Science Meets CFD - Steve Legensky, Invited speaker at In Situ Analysis and Visualization Workshop

VisIt Users and Developers Reception - Get an update on VisIt 3.0 and VisIt Prime

SENSEI Tutorial: Cross-Platform View of In Situ Analytics

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.


Invited talk: Data Science Meets CFD, Steve Legensky, Intelligent Light

Presentation to the ISAV 2018 Workshop: In Situ Infrastructures for Enabling Extreme-Scale Analysis and Visualization

Monday, November 12, 3:30-4:25PM, Room D168

Advances in computational fluid dynamics (CFD) and high-performance computing (HPC) have allowed an amazing increase in model fidelity. For CFD practitioners, these new capabilities present challenges with the analysis of highly unsteady flows of ever-increasing complexity. Simultaneous advances in data science offer promising techniques for resolving these issues that are just starting to be applied to CFD post-processing and knowledge extraction workflows.

ISAV 2018: In Situ Infrastructures for Enabling Extreme-Scale Analysis and Visualization

Session: Monday, November 12, 9:00-5:30PM Room D168

The considerable interest in the HPC community regarding in situ analysis and visualization is due to several factors. First is an I/O cost savings, where data is analyzed and visualized while being generated, without first storing to a file system. Second is the potential for increased accuracy, where fine temporal sampling of transient analysis might expose some complex behavior missed in coarse temporal sampling. Third is the ability to use all available resources, CPU's and accelerators, in the computation of analysis products.

The workshop brings together researchers, developers and practitioners from industry, academia and government laboratories developing, applying and deploying in situ methods in extreme-scale, high-performance computing. 

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.

Tutorial: SENSEI Cross-Platform View of In Situ Analytics
Presenters: E. Wes Bethel, David Thompson, Burlen Loring, Silvio Rizzi, Brad Whitlock, Matthew Wolf, Patrick O'Leary

Sunday, November 11, 1:30-5:00PM Room C147

This tutorial covers the design and use of SENSEI, a platform for in situ visualization and analysis. Attendees will learn the basics of in situ analysis and visualization — which eliminates the need for writing large simulation state files or other data that prevents scaling to large machines — while being exposed to advanced analysis such as autocorrelation, interactive monitoring and computational steering.

Image courtesy of Michael Brazell and Prof. Dimitri Mavriplis, University of Wyoming

Spend time with our experts:

Come by Booth #826 or request a meeting, to learn and explore how we can help you advance your CFD.

In-booth presentation: Data Science Meets CFD, Steve Legensky

Tuesday, 4:00PM in Booth #826, followed by reception including beer and hors d'oeuvres

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Data Science for CFD with FieldView Analytics

Intelligent Light will present Data Science for CFD with FieldView Analytics at the 2018 Global Altair Technology Conference, October 18, 2018 in Paris, France.

I am honored that Altair has invited me to share the Keynote for the Applied Fluid Dynamics​ session and grateful for the opportunity to contribute to this major CAE event by addressing challenges facing the industry today.

Altair customers rely on FieldView Express and AcuFieldView to help understand and present their CFD results to clients, management, other engineers and designers. With the presentation at this year's ATC, I will expand on the role that data science can play to increase understanding of CFD results and help companies make better engineering decisions.

Time: 8:30 AM

Date: October, 18, 2018

For more details and to register for the event, see https://www.altairatc.com/paris2018

 Powerful CFD Post-Processor Enriches Altair Partner Alliance Offering

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Come See Us at Overset Grid Symposium 2018!

We are happy to be sponsors of the symposium again this year and look forward to seeing you there.

There are three opportunities to meet us and learn more about our work with FieldView, VVUQ and ​Data Analytics:

  1. Tutorial on Monday: FieldView: Parallel Calculation, Remote Visualization, Automation and Extract Based Workflows (See below for details)
  2. Presentation during symposium: Spectre: A Computational Environment for Managing Total Uncertainty Quantification of OVERFLOW based CFD studies  (See below for details)
  3. Visit our table in the exhibit area
We look forward to seeing you there!
Turbulent Wakes of the Lillgrund Wind Farm, simulated with W2A2KE3D, in situ processing with VisIt / Libsim image rendered in FieldView
Data Courtesy: M. Brazell, A. Kirby, and D. Mavriplis University of Wyoming   Image by: Intelligent Light


Earl Duque, PhD Manager of Applied Research, Intelligent Light

Spectre: A Computational Environment for Managing Total Uncertainty Quantification of OVERFLOW based CFD studies

Dr. Earl P.N. Duque, Manager of Applied Research Group, Intelligent Light

The uncertainty in CFD based simulation results may be quantified through rigorous verification, validation and uncertainty quantification (VVUQ) procedures. Procedures and frameworks such as the ASME V&V 20, and Oberkampf and Roy Uncertainty frame work require extensive simulations, post-processing workflows and management of the simulation results to quantify the contributions of numerical uncertainty, model input uncertainty and model form uncertainty to the total uncertainty for any given study or design. To date, the application of VVUQ procedures were ad hoc implementations. Spectre is a new computational environment designed to enable CFD practitioners to easily quantify the total uncertainty in their computational study and campaigns. This presentation will present how Spectre makes use of "Wizard-based" user interfaces to guide the user through all the steps needed to arrive at the total uncertainty using the OVERFLOW2 code. Work in progress case studies based upon a UQ study of a NACA0012 airfoil at zero lift, a multi-element airfoil and the AIAA High Lift Prediction workshop Common Research Model will be presented.

Stephen Makinen, PhD Customer Application Engineer, Intelligent Light

FieldView: Parallel Calculation, Remote Visualization, Automation and Extract Based Workflows

Dr. Stephen Makinen, Customer Application Engineer, Intelligent Light

Synopsis: Modern high-fidelity physics simulation methods generate massive amounts of data, so a challenging scenario exists for efficiently processing results to create new knowledge. The rate of new data generation has far surpassed data rates for disk read/write operations and transfer from remote computational facilities. FieldView post-processing enables scientists and engineers to efficiently create new knowledge with scalable methods that navigate around these limitations. The FieldView tutorial will cover the following topics.

  • Overview of FieldView including new and upcoming features
  • Parallel calculations for efficient post-processing
  • Remote visualizations to reduce data transfer
  • Extract based workflows to minimize disk read/write operations
  • Data analytics for solution decomposition and insight into the underlying state-variables
  • Automation with Scripting
  • Discussion
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