SC13 HPC Impact Showcase Presentation
Accelerating Innovation While Reducing Risk – High Impact HPC at a Formula One Team and a Racing Bike Wheels Manufacturer
Date: Tuesday, November 19th
Time: 1:00-1:40PM, SC13 HPC Impact Showcase stage on the exhibit floor
Presenter: Steve M. Legensky, Intelligent Light
Abstract: For performance-oriented engineering organizations, high-performance computing (HPC) offers the promise of accelerating performance while reducing risk. The HPC-enabled success of two such organizations will be compared: one with large in-house HPC resources and dedicated computational fluid dynamics (CFD) engineering staff and the other a small engineering and manufacturing company producing consumer products. Common needs and different HPC strategies are discussed. These organizations depend on working with commercial software vendors to develop their capabilities and direct their investments to core skills and knowledge.
Red Bull Racing dominates Formula 1 racing with three consecutive Constructors and Drivers Championships, while Zipp Speed Weaponry has developed leading-edge products that resulted in a doubling of category revenue and 120 new manufacturing jobs for a market leader in a mature segment. The audience will see how different investment and HPC use models are producing extraordinary results and are illustrative of the path forward for innovators in many industries of any size. Through the use of HPC for CFD, these companies rapidly develop and deliver accurate, actionable information to engineers and managers through engineered CFD workflows. Each company has developed the ability to rapidly explore many ideas, put more mature designs into testing and production, and reduce the risks of exploring novel design approaches.
Among the speakers joining Mr. Legensky in The Showcase:
- Dr. Cynthia R. McIntyre, Dr. Walter L. Kirchner (The Council on Competitiveness)
- Dr. Mohamad S. El-Zein (Deere & Company)
- Chris Baker, Goodyear
- Matthew H. Evans, Ph.D., Lockheed Martin Corporation
Titles and schedule for additional talks — HPC Impact Showcase full program info
Intelligent Light has been nominated for an IDC HPC Innovation Excellence Award for our work with high volumes of data in a production environment. A new whitepaper details the way FieldView data management is being used to develop high-throughput workflows that increase capacity and decrease uncertainty in CFD.
IDC’s HPC Innovation Excellence Award recognizes noteworthy achievements by users of high performance computing (HPC) technologies. The program’s main goals are to showcase return on investment (ROI) and scientific success stories involving HPC; to help other users better understand the benefits of adopting HPC and justify HPC investments, especially for small and medium-size businesses (SMBs); to demonstrate the value of HPC to funding bodies and politicians; and to expand public support for increased HPC investments.
Whitepaper: Massive CFD Data Handled Quickly Without Compromise – Maximize Your CFD Investment. A Real World Example Case: Analysis From High Lift Drag Prediction Workshop Simulations.
This is the second time Intelligent Light has been nominated for the award. IL was recognized in the innagural edition, receiving an HPC Innovation Excellence Award in 2012- Software company helps manufacturer grow business, add jobs as result of HPC success.
This edition of our newsletter announces the availability of the FieldView 14 release, a new large scale CFD whitepaper based on work done for the AIAA High Lift Workshop, and Intelligent Light’s recognition in the HPCwire Readers’ Choice Awards.
In this issue:
HiLift Wing and plot.
FieldView 14 allows multiple interactive views of datasets.
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Massive CFD Data Handled Quickly Without Compromise – Maximize Your CFD Investment
Real World Example Case: Analysis From High Lift Drag Prediction Workshop Simulations.
The 2013 AIAA High Lift Production Workshop asked participants to develop and run multiple high-lift prediction simulations and compare results. Intelligent Light used an engineered CFD workflow to complete the full set of simulations and produce the comparisons using a single part-time researcher. The engineered workflow enabled IL to be the only participant who ran the entire simulation set rather than scoping down the project to limit case and data volume at the front end. An example of CFD without compromise!
“Cray systems provide central computational resources at commercial, academic and government centers around the world; often serving distributed user communities. Efficient tools to analyze CFD simulation results and enable the remote user community are essential. Management, automation, and remote visualization capabilities in FieldView are a proven technology for post processing whether the data is across the room or across the country. Cray is pleased to work with Intelligent Light to ensure this is a robust and efficient solution.
Per Nyberg, Director of Cray Business Development
This whitepaper provides both a case study and tutorial for working with large CFD data. The author presents how the CFD flow solver, OVERFLOW2, and Intelligent Light’s CFD post-processor, FieldView, was used in a remote solving and remote post-processing environment to analyze solutions for the AIAA High Lift Drag Prediction Workshop. Using the OVERFLOW2 solver from NASA, over 63 solutions were obtained on a remotely located Cray XE6 system. The large volumes of data were stored on the remote system where FieldView Parallel was used in batch and interactive modes to interrogate the data. An extract workflow was applied to create FieldView surface extract databases (XDBs), line extracts, and streamlines, reducing the data by a factor of 275, The extracts were transferred to local laptop where FieldView FVX scripts, together with GNUplot, were used to automatically generate comparisons between the cases and against experimental data. This paper summarizes the work and provides examples for using FieldView, FVX and XDB workflows to automate the post-processing of large scale simulations.
Get the Whitepaper