Intelligent Light and FieldView

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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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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Advancing CFD with Modal Analysis

Interest in the use of modal analysis / Reduced Order Analysis (ROA) for CFD is growing quickly. Our customers tell us that data analysis will have a huge impact and are looking for practical ways to apply it to their current work. Intelligent Light is contributing to this exciting field with an all new tutorial written by our in-house expert, Dr. Steve Makinen. Dr. Makinen is a veteran of the rotorcraft industry with extensive experience in rotorcraft aeroelasticity and coupled computational fluid/structural dynamics (CFD/CSD).

The new tutorial will allow users of FieldView 17 to explore the Data Analysis capabilities of FieldView. Step-by-step instructions provide an easy introduction to using FieldView 17 to leverage capabilities of Excel, MATLAB, Octave and NumPy. This will greatly expand the range of post-processing methods including Fast Fourier Transform (FFT) and Proper Orthogonal Decomposition (POD) and provide a framework for users to implement other methods such as Dynamic Mode Decomposition (DMD). These methods can provide greater insight into simulation results and engineering design through feature identification, state-variable representation and much more.

The Data Analysis tutorial includes Octave/MATLAB programs for processing data and toolboxes for writing PLOT3D and FV-UNS files so the results can be viewed in FieldView.

I encourage you use the tutorial to become more familiar with the power of Modal Analysis for CFD. Please let us know what you think by sending an email to FieldView@ilight.com.

Yves-Marie
FieldView Product Chief

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