Intelligent Light and FieldView

Steve Legensky at 70th HPC User Forum

​On Thursday, September 6, I will present "Data Science meets CFD:  FieldView Analytics in Engineering" at the 70th HPC User Forum in Detroit, MI.

I am pleased to have been asked to update the HPC community on our vision for using data science to complement and enhance CFD in science and engineering. This is a very active area of research today. In March Intelligent Light was honored to participate in the "US-Japan Workshop on Bridging Fluid Mechanics and Data Science" in Tokyo, the first such event in history. We have been meeting with our FieldView customers throughout the world to understand their needs and to see how we can help them solve problems through FieldView Analytics. Data science can help us to better understand the dynamical systems represented by CFD simulations and revealed by experiments, with the goal of getting better designs sooner with less computation.

For more info on the 70th HPC User Forum: www.hpcuserforum.com

The Agenda can be seen here: https://www.hpcuserforum.com/downloads/agenda.pdf

Continue reading
  0 Comments
0 Comments

Advances in CFD code development recognized in NCSA Access Magazine

Intelligent Light's Applied Research Group has completed a 5-year CFD research projectfor the US Army's Vertical Lift Center of Excellence.

The National Center for Supercomputing Applications (NCSA) highlighted the work in their Access magazine. The project included the use of coupled Eulerian and vortex particle method codes to achieve the accuracy required to model the rotor and wake interactions. The vortex particle methods are computationally expensive and benefitted from HPC systems with GPU accelerators, a first for rotorcraft CFD code development. Read the full story.

  • Also featured in iSGTW:International Science Grid This Week
Continue reading
  0 Comments
0 Comments

CFD BREAKTHROUGH: Feature Detection & Direct Volume Rendering In Situ

This work was sponsored through a Phase II STTR by the Air Force Research Laboratory (AFRL) and Program Manager Dr. Fariba Fabroo Air Force Office of Scientific Research, Copyright Intelligent Light ©2012

The stunning image at right was produced via prototype software developed under a Phase II STTR contract from AFOSR that utilizes volume rendering with an Adaptive Transfer Function that permits training the visualization system to highlight flow features such as turbulent vortices. A Prediction-Correction based feature extractor then tracks and extracts the flow features and determines the statistics of features over time. A Python Interface Framework permits the flow solver and feature tracker to share memory (In-Situ operation),enabling tracking at high precision and avoiding the overhead of saving data to file.

Now that the research phase is complete, Intelligent Light is seeking opportunities to apply the tools to CFD problems where understanding unsteady turbulent behavior is critical.

Continue reading
  0 Comments
0 Comments