Views from Intelligent Light
Brad Whitlock

DOE Invites Intelligent Light to Present In Situ with VisIt, Libsim, and FieldView

 

The Department of Energy hosts an annual meeting called the Computer Graphics Forum which brings together leading visualization experts who carry out DOE-supported research. Experts from National Laboratories, Department of Defense Research Institutions, Universities and select companies are invited to present updates on their research.  Intelligent Light was invited for a special vendor participation session and gave a talk called “Promoting In Situ with VisIt, Libsim, and FieldView”.

 

Topics of interests selected by the DOE this year include: computer procurement, status updates for software packages, and research for in situ and parallel programming on advanced HPC systems.

 

Advanced HPC systems have special challenges as they are increasingly heterogeneous architectures (often consisting of CPUs plus accelerators such as GPUs) with deep memory hierarchies. Several talks focused on new programming paradigms that are being created to develop large code bases that are both portable and efficient on heterogeneous architectures.

 

In situ was also a prominent research topic. In situ brings data analysis and visualization into solvers as they run, enabling them to extract information from the resident data so that more concentrated data can be written out. Saving smaller, more concentrated data is important because HPC systems have far higher compute capacity than I/O bandwidth and storage needed to store full results.

 

Related: DOE Awards Follow-On Grant for FieldView / VisIt Integration

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
Light

 

Roger Rintala

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

Embry-Riddle

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

ABSTRACT:
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.

Roger Rintala

No Compromise CFD with On-Demand HPC

XDBview logoThe accessibility of HPC via cloud computing offers tremendous flexibility for CFD users with peak workload demands as well as for organizations and consultants who do not maintain HPC systems in house.

 

By designing a CFD workflow that maximizes the use of HPC systems and eliminates the transfer of volume data sets, productivity gains can be tremendous.  The ability to run high resolution, time dependent simulations and full suites of design points allow every idea to be thoroughly vetted.  Intelligent Light sponsored research used this approach to help a single researcher perform over 60 simulations and evaluate nearly 3TB of data for the AIAA High Lift Prediction Workshop.  Result files were post-processed remotely and only compact XDB files were transferred to the user’s local workstation.

 

Learn how this was accomplished and see how this approach can make your CFD workflow more capable and productive.

 

Earl Duque

Wind Leaders Addressing Future Data Needs – Atmosphere to Electrons Initiative

I had the honor and pleasure to participate in the Atmosphere to Electrons Workshop hosted by the Department of Energy, Office of Energy Efficiency and Renewable Energy.  The focus of the initiative is on the use of computational simulation to improve understanding and performance predictions from the microscale to the mesoscale.

 

Penn_Schmitz_windturbine_F300x159

FieldView image published in paper: “Turbulence Transport Phenomena in the Wakes of Wind Turbines”, Earl Duque, Intelligent Light; Pankaj Jha and Jessica Bashioum and Sven Schmitz, The Pennsylvania State University

The event brought together leaders from the wind energy community including National Labs, Universities and Industry. The purpose was to map out the direction for simulating the performance of a wind turbine farm; capturing the temporal and spatial scales from meso-scale (kilometer and hours) down to the airfoil boundary layer scales (micron and milliseconds). Morning and afternoon sessions began with a topical plenary talk followed by working groups focused on the computation and modeling needs at different scales such as Park Scale, Turbine Scale and Airfoil Scale.

Wind Farm - FieldView image as published in "Wind Farm Simulations Using a Full Rotor Model for Wind Turbines", J. Sitaraman, D. Mavriplis, E. Duque AIAA Paper 2014-1086

Wind Farm – FieldView image as published in “Wind Farm Simulations Using a Full Rotor Model for Wind Turbines”, J. Sitaraman, D. Mavriplis, E. Duque
AIAA Paper 2014-1086

 

For me, it was clear that it will be essential to include in-situ data analysis methods and file I/O standards in order to work with the tremendous volumes of data that will be created and processed. This was recognized by many at the meeting.  The use of in-situ methods with FieldView and VisIt offers solutions to those grappling with the current data analysis bottlenecks.

 

FieldView image published in paper: "Turbulence Transport Phenomena in the Wakes of Wind Turbines", Earl Duque, Intelligent Light; Pankaj Jha and Jessica Bashioum and Sven Schmitz, The Pennsylvania State University

With the high-caliber people from government, academia, and industry converging on this challenging problem, the A2E initiative is making progress toward vast improvements in the understanding of the complex physics of wind flowing into and through wind farms.  DOE sees the potential to improve wind farm efficiency by 20% while drastically reducing operating costs for wind energy producers.

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