Views from Intelligent Light
Atsushi Toyoda

Intelligent Light Proudly Supporting Aerospace Fluid Science Summer School 2015 in Japan

From August 2nd to 4th, Aerospace Fluid Science Summer School 2015 was held at Yugawara, Kanagawa, Japan. A total of 47 participants, both students and professors, came from 11 universities and organizations, including Aichi Institute of Technology, University of Electro-Communications, Nagoya Univ., Nihon Univ., Ochanomizu Univ., Tohoku Univ., Tokyo Univ., The Tokyo Metropolitan Univ., Tottori Univ and JAXA.


This event was different from regular conferences. The presentations were brief and students were given more time to discuss the work rather than just presenting it. They also were able to get advice from different perspectives to improve both their research and their presentation abilities. Many ideas were generated that students will pursue back at their home laboratories. With three days together, the students developed relationships and friendships that will continue as they complete their studies and begin their careers.


This is an event that began informally with a group of about 10 students and has grown consistently since its inception. We were glad to help the students by supporting this event and are looking forward to participating again next year.

Intelligent Lightは2015年航空宇宙流体科学サマースクールを応援します

 8月2日から4日にかけて神奈川県足柄群湯河原町において航空宇宙流体科学サマースクールが開催され、11の組織より47名の学生 及び先生方が出席なされました。参加していただいた大学及び研究機関は愛知工業大学、宇宙航空研究開発機構(JAXA)、お茶の水大学、首都大学東京、電 気通信大学、東京大学、東北大学、鳥取大学、名古屋大学及び日本大学になります。(あいうえお順)
 本サマースクールは従来の研究 発表の場である学会とは異なり、自分たちの研究について議論する事に重きをおいた会となりました。ここで発表することにより別の組織の方々から異なった視 点でのアドバイスを頂き、研究をより良いものにするアイディアをうむことができました。また、今後行う学会や論文審査での発表に向けたよい練習の場にもな りました。3日間をともに過ごすことにより、あまり触れあうことのない他大学との横のつながりができ、今後研究を行う上でよい関係を築けたかと思います。

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Earl Duque

AIAA AVIATION 2015 – Working with large data of today and tomorrow

Turbo image/animation from AIAA Aviation 2015

This turbine blade simulation result was awarded “Most Quantitatively Descriptive Flow Visualization Animation” in the Visualization Showcase at AIAA Aviation 2015. The achromatic colormap enhances the presentation of the numerical differences.
–click image for animation

I attended the AVIATION 2015 meeting in Dallas last month. I had a great time meeting with colleagues, listening in on great papers and presenting my own work. The week started with my presentation for the CFD Visualization Showcase session where I was awarded the “Most Quantitatively Descriptive Flow Visualization Animation” which highlighted the animations and images from my paper “EPIC – An Extract Plug-In Components Toolkit for In situ Data Extracts Architecture“. The paper was presented at the “Post-Processing and Model Reduction” session.


In both the animations and the paper, I made use of FieldView’s achromatic colormaps. I’ve found that the “Achromatic Vision 1″ colormap, easily selected from the new colormap selector in the colormap tab (no more hunting around for user defined colormaps!!!) does a much better job at highlighting flow features that I didn’t see using the default Spectrum colormaps. I use the Achromatic Vision 1 almost exclusively now for all my visualizations.


In addition, I took part in a panel discussion “The Path to CFD Visualization in 2030″ where we discussed our ideas regarding “Facing the Knowledge Extraction and Visualization Challenges of the NASA CFD 2030 Vision”.  During this panel, I described how CFD analysts require the ability to simultaneously compute both very large simulations and large numbers of simulations. Code verification/validation and uncertainty quantification studies also drive the need for unsteady solutions consisting of  billions of grid points and large ensembles of non-deterministic solutions. These types of studies are enabled by: In situ data processing where the solver directly outputs FieldView surface extracts,  FieldView XDB workflow and the use of XDBview.


In order to extract actionable knowledge and create visualizations of these extensive datasets, my Applied Research Group is developing new capabilities for CFDers through our DOE sponsored research with the VisIt code and the Air Force Research Lab EPISODE project (the paper I presented at AVIATION2015).  In the coming months, I will be working with the other panelists on a paper that we’ll present at SciTech2016.


XDBs files and XDBview were critical to this work.


Learn more about in-situ post-processing with XDB workflows:

Shane Wagner

Webinar – Big Data Challenge: Landing in a Ship Airwake

Live Event – Thursday, May 21, 2015 – 12:00 Noon, EDT

The archive for this webinar is now available.


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

Click to access the webinar page and animation

Click to access animation and event info


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.


I hope you will join me for this live event.


Featured Speakers:

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

Brad Whitlock, Post-Processing & Visualization Engineer, Intelligent


Roger Rintala

Duque Presentation: Large Scale Unsteady CFD via In-Situ CFD Data Management


Accelerating the Post‐Processing of Large Scale Unsteady CFD Applications via In Situ Data Reduction and Extracts
Dr. Earl P.N. Duque
Manager of Applied Research, Intelligent Light

Tuesday, April 14th, 2015
1245‐1400 hrs
Lehman Building Room 272

Writing, storing, moving and post‐processing vast unsteady datasets can interfere with an engineer’s interpretation and reporting of results. This seminar will present ongoing research to develop new methods designed to extract and reduce large unsteady CFD derived volumetric data. In‐Situ data extraction whereby sub‐setting and segmenting the volume data using data extraction and analysis libraries directly integrated within the solver codes themselves is the first step. To further reduce the amount of unsteady CFD extract data written to disk, methods such as Proper Orthogonal Decomposition may be used to reconstructed the solution data within a given error band. This seminar will present preliminary research and how the CFD could use these techniques to analyze their large‐scale CFD solutions.


Duque_headshotBIO: Dr. Duque manages the Applied Research Group at Intelligent Light, the makers of the leading CFD  post‐processing software FieldView. Previous to Intelligent Light, he was a tenured Professor of Mechanical Engineering at Northern Arizona University. Prior to his time at the university, he was a Research Scientist for the Army’s Rotorcraft CFD Applications Group located at the Numerical Aerodynamic Simulation Facility at NASA Ames Research Center. His current research focuses upon the development of large scale data management techniques for multi‐physics simulations. He has been awarded the Lichten Medal from the American Helicopter Society for his pioneering CFD studies on the BERP helicopter rotors, the Army Superior Civilian Service Medal for his lead role in the use of CFD to study and alleviate vibratory load problems on the Apache‐Longbow and Comanche Helicopters and is an Associate Fellow of the AIAA.