Intelligent Light and FieldView

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.

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Dell features Intelligent Light as Cloud Success story

Dell produced a case study about Intelligent Light's use of HPC Cloud computing resources from Dell and R Systems.

With computational fluid dynamics (CFD) data sets growing larger all the time, Intelligent Light needed a way to process data faster without investing in and maintaining its own in-house high-performance computing (HPC) resources.

  • 20-fold faster completion of research with HPC on-demand (vs. HPC workstation)

  • Able to empower new customers by providing fast access to HPC resources

  • Improved CFD data management and workflow


Download the case study
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26th Annual HPCC Conference - Supercomputing: A Global Perspective

Demonstrating the value of HPC for small organizations, Intelligent Light Founder and GM, Steve M. Legensky will be an invited speaker at this conference of the National High Performance Computer and Communications Council. The presentation is titled "HPC, Data Management and Racing Bicycle Wheels"
Over the past few years, Intelligent Light, has been collaborating with Zipp Speed Weaponry, one of the leading manufacturers of bicycle components for professional and amateur racing. This is a story of two 'missing middle' successes: of Intelligent Light seeking experience and inspiration to advance its FieldView Computational Fluid Dynamics (CFD) products for an HPC-centric engineering world and of Zipp, looking to engineer the most competitive products for their customers. The intersection: using CFD simulation at a very high technical level to understand and optimize a product from a small, US manufacturer. Employing parallel computing on a remote HPC system to perform unsteady CFD calculations yields large quantities of numerical results. Post-processing the terabytes of disk file data in an effective manner requires a new paradigm for CFD data management. Intelligent Light has delivered such a capability via parallel batch processing and extract databases which are compact, efficient and completely loss-less. These tools reduce file size and processing time by one to three orders of magnitude over current methods. The results for Zipp are equally impressive: to quote the July 2011 issue of Tour Magazine, "The sensation: the fastest spoke wheel ever. Aerodynamically a revelation and out in front at all speeds." The story continues...

HPCC-USA
March 26-28, 2012, Newport, RI
hpcc-usa.org/
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Whitepaper: Slashing unsteady data size with XDB workflow results in huge productivity gains

Unsteady rotorcraft CFD analysis can generate mountains of grid and solution data, making transfer across networks time-consuming and often impractcal. Further the large data places a strain on available storage resources. XDB-based CFD workflow, made possible by FieldView 13, enables analysts to significantly reduce data size and better utilize remote HPC systems, achieving dramatic performance and productivity gains in the process. The means getting to answers faster and more cost-effectively than ever before.

This technical case study outlines XDB-based workflow approaches for an unsteady rotorcraft simulation. FieldView post-processed the transient data remotely, outputting XDB (eXtract database) files that reduced the size of the dataset from 36.4GB to 127.5MB – a reduction factor of 286. Transftering only these smaller files to a remote workstation for interactive review, high quality and extremely fast graphics allowed the analyst to view the time-dependent simulation results at more than 80 frames per second while sweeping through the data, rotating, panning and zooming.

Whitepaper: Slashing unsteady data size with XDB workflow results in huge productivity gains

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More performance again! The CFD Revolution Continues as FieldView Brings More Speed and a New Direct Reader for OpenFOAM® data

Quickly delivering a new release on the revolutionary FieldView 13 platform, version 13.1 brings new performance and productivity benefits tom users. New capabilities include:

  • Manage transient data 4-7X faster

  • Increase dataset sampling and probing speeds by up to 200

  • New direct reader for OpenFOAM
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