Intelligent Light and FieldView

NVIDIA and Intelligent Light Pushing Ahead with In Situ Rendering on Servers

NVIDA developer blog has a feature about server side rendering featuring our work with customers such as Daimler AG.
"Intelligent Light and Daimler AG use server-based pipelines to analyze the results of their large-scale vehicle simulations. To validate thermal operating bounds when designing new vehicles, Intelligent Light's FieldView can be used to visualize the results of highly-parallel simulations. Sifting through the 15 terabytes of data from this simulation is much more quickly done on the server that ran the simulation, after which the salient time steps can be extracted and used to visually communicate results.​"
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Workshop: Extract-based and In Situ Methods for HPC Enabled CFD

To be held August 3, 2017, in conjunction with the ASME Fluids Engineering Division Summer Meeting​ at the Hilton Waikoloa Village, Waikoloa, Hawaii

Workshop Objectives

This workshop will assess the state-of-the-art in CFD Visualization and Post-Processing in High Performance Computing (HPC) environments. Specifically the issues of data transfer from remote HPC resources, a comparison of remote graphics vs. extract methods, and the trend toward in situ methods. Real world examples of industrial CFD workflows will be presented that offer a path to greater fidelity and faster throughput enabling an increased use of unsteady simulation.

Presenters

Prof. Kozo Fujii, Tokyo University of Science/ ISAS-JAXA 
Revisit the Role of Research Graphics in HPC Post Processing

Yves-Marie Lefebvre, FieldView Product Chief, Intelligent Light
Unblocking Data Bottlenecks in HPC CFD with Extract-based Workflows

Steve Legensky, Founder and General Manager, Intelligent Light
In Situ: Real and in Production

Read presentation abstracts

Who should attend

Researchers and practitioners in aeroacoustics, combustion, LES and large scale CFD and CFD solver code technologists.

Thursday, August 3, 2017
Lunch for all FEDSM participants sponsored by Intelligent Light
Workshop from 1:30 to 4 PM

This event is free, but seating is limited and advanced registration is required.

To register, please send email to events@ilight.com with your full contact information and the number of people in your party. Location details will be provided with your registration confirmation.

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Making Collaborative CFD Fly

"This method of aggregating data and standardizing the interrogation of the data, especially large scale, full 3D multiphyisics data is very, very necessary and very, very useful. This partnership is exciting and we are exploring the boundaries of what we can achieve with this."

Nathan Hariharan
Chair, AIAA Helicopter Hover Prediction Workshop

The world's helicopter community came together to study the complex physics of rotorcraft in hover using CFD. They needed a HPC collaboration hub that minimized researchers' efforts to collaborate in full 3D. We made it work for the AIAA Hover Prediction Workshop and we can make it work for you.

Join Dr. Nathan Hariharan, Chair, AIAA Helicopter Hover Prediction Workshop, Dr. Earl Duque, Manager of Applied Research at Intelligent Light, and Michael Senizaiz, ‎Chief Technology Officer at R Systems, as they explore how work done to support the Hover Prediction Workshop is yielding valuable lessons for any organization looking to streamline its CFD workflow.

Learn how Intelligent Light and R Systems provide the CFD expertise and on-demand HPC capability to make high-performance CFD workflow a reality:

  • Enable data sharing among many disparate members of the organization: CFD Engineers, Designers, Managers and Customers
  • Compare many different cases, even those with different meshes or from different solvers, etc.
  • Derive higher order features, like vortex path, automatically for comparison
  • Standardize the workflow so that input from many groups can be compared side by side, both visually and numerically
  • Utilize on-demand HPC resources to run automated post-processing workflows across all the datasets producing standardized outputs and enabling collaboration

A live Q & A with the speakers will follow the presentation.

When: Tuesday, May 9, 2017, 2:00 PM Eastern

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Harnessing the power of HPC for success in CFD

"To achieve 45 seconds of CFD at 60 Hz, we used VisIt/Libsim in situ to create extracts that were 21X smaller than the volume files, wall clock times were 10X less to produce the XDB files (extracts) and transfer times and space requirements were also greatly reduced. We were then able to post-process in hours what had been taking days."

Intelligent Light will hold a one-day event on harnessing the power of HPC for CFD engineers. New methods for handling large CFD data sets will be presented with a special focus on using data computed on remote HPC resources. Case studies of innovative solutions in use by our clients today will provide concrete examples of how we can put the same technologies to work for you.

You will learn:

  • How extract-based workflows are being used in industry to unblock data bottlenecks
  • How in situ and extracts can help you increase fidelity: finer meshes, more transient time steps and the ability to explore more parametric options
  • How to take full advantage of remote HPC with a combination of local and remote rendering options and by leaving large files in place on remote systems
  • How automated report generation done in batch enables our clients to get the reports they need on time

We hope you will participate and learn how you can join the growing number of organizations that are Harnessing the power of HPC for success in CFD

When: Thursday, May 18, 2017, 10:00 to 14:00

Please join, Steve M. Legensky, Founder and General Manager of Intelligent Light, Yves-Marie Lefebvre, FieldView Product Chief and Dr. Earl Duque, Manager of Applied Research, for morning coffee beginning at 9:30.

Buffet lunch is included. Please let us know of any special dietary requirements.

Location

Daresbury Laboratory
Sci-Tech Daresbury
Keckwick Lane
Daresbury
WA4 4AD

Directions to Daresbury Laboratory .

Participation is free, but pre-registration is required. To register or for more information, please send email to Shane Wagner: sww@ilight.com

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Leading the Way With In Situ Extracts

At Intelligent Light, we continue to lead the charge for the adoption of in situ, a technique that can maximize insight from simulation runs while also avoiding the problems caused by saving, storing and moving massive amounts of data. Our work this year shows that using in situ allows the CFD practitioner to increase resolution by saving data at a higher frequency, while still saving far less data overall. This reduces disk space and time to read the data in the post-processing phase.

At the AIAA SciTech 2016 conference this month, I shared our in situ work with the AIAA community in two ways: I presented a paper to the MVCE technical committee titled, "In Situ Infrastructure Enhancements for Data Extract Generation", and I presented an in-booth talk about how to add in situ processing into a solver.

Many of the engineers I met at this year's SciTech are running codes at scale on high performance computers but find it impractical, often impossible, to save all of the data on such systems. In situ enables operations such as visualization and analysis, which have traditionally been performed as post-processing, to be executed in the solver itself as it runs. Instead of writing large amounts of volume data, in situ enables the creation of smaller data products such as images and FieldView XDB extract files. XDB files, for example, capture surfaces of interest as well as scalar and vector fields from the solver and write that data in a compact form orders of magnitude smaller than the standard results file.

GT Rotor visualization. Iso surfaces of Q, colored by Cp. Bottom left includes a cross plane of the mesh.

The paper I presented to the MVCE technical committee, "In Situ Infrastructure Enhancements for Data Extract Generation", describes enhancements made by Intelligent Light to VisIt/Libsim that improve its support for batch-creation of VisIt plots, which can then be exported as XDB extracts. Working with James Forsythe of the US Navy's NAVAIR, the CREATE-AVTM Kestrel solver was instrumented with the latest VisIt/Libsim enhancements for batch support and parallel data writing. Kestrel was run at scales up to 1024 cores using a workflow that produced XDB files every 5 solver iterations, an output frequency far higher than would be attempted with volume-based outputs. Even with writing extracts so often, the in situ production of extract files consumed less than 3% of the overall solver runtime. The set of extract files for a single time step is also 21 times smaller than the corresponding volume data, saving both disk space and time to read in large files for subsequent visualization. Several instances of FieldView operating concurrently processed the resulting XDB files into a movie showing helicopter rotor vortices. One strength of this workflow is that it is parallel from data extraction to extract I/O, all the way through XDB visualization. In addition, the workflow is flexible because XDB extracts provide both geometry and fields that can be visualized, enabling fast data analysis that skips the burden of large I/O using volume data.

Intelligent Light's recent VisIt/Libsim improvements make the process of instrumenting a simulation for in situ simpler than ever before. During the SciTech exhibition, I held a talk in the Intelligent Light booth about how to add in situ processing into a solver. The presentation was well attended by users and solver developers from the US, Japan and Israel. There was much interest in adding VisIt/Libsim and XDB data extraction to solvers and the workflow continues to prove its value.

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