Intelligent Light and FieldView

In Situ Data Management at DOE Workshop and SIAM CSE

​As CFD datasets get larger and unsteady computation becomes more common, file I/O is an increasing bottleneck. Methods that write post-processing extracts directly from solvers as they are running have proven to be a solution to this problem. Intelligent Light has long advocated for this approach and recently we were asked to participate in activities to advance the state of the art in this area.

In January, I participated in the DOE's "In Situ Data Management (ISDM)" workshop which focused on defining areas for research intended to ease the analysis and understanding of massive simulations enabled by exa-scale computing. A workshop report is forthcoming.

In February, I was invited to present at a mini-symposium at the SIAM CSE 2019 meeting aimed at avoiding the big data problem through in situ techniques.

If you would like to know more about In Situ Data Management and CFD Data Analytics or to schedule a meeting with Steve Legensky, send email to datascience@ilight.com.

Data from Juan D. Colmenares, Svetlana Poroseva, Yulia T. Peet, and Scott M. Murman. "Analysis of uncertainty sources in DNS of a turbulent mixing layer using Nek5000", 2018 Fluid Dynamics Conference, AIAA AVIATION Forum, (AIAA 2018-3226). Simulations were performed on the Pleiades Computer system at NASA Ames Research Center. Images created by Intelligent Light.


Continue reading
  0 Comments
0 Comments

HPC, In Situ and Data Analytics at SC18

Advances in the use of HPC, In Situ and Data Analytics for CFD dominate our contribution to SC18. Join us at events, in workshops and technical sessions and on the exhibit floor in Booth #826 to learn how these advances will help you.

Data Science Meets CFD - Steve Legensky, Invited speaker at In Situ Analysis and Visualization Workshop

VisIt Users and Developers Reception - Get an update on VisIt 3.0 and VisIt Prime

SENSEI Tutorial: Cross-Platform View of In Situ Analytics

Data from Juan D. Colmenares, Svetlana Poroseva, Yulia T. Peet, and Scott M. Murman. "Analysis of uncertainty sources in DNS of a turbulent mixing layer using Nek5000", 2018 Fluid Dynamics Conference, AIAA AVIATION Forum, (AIAA 2018-3226). Simulations were performed on the Pleiades Computer system at NASA Ames Research Center. Images created by Intelligent Light.


Invited talk: Data Science Meets CFD, Steve Legensky, Intelligent Light

Presentation to the ISAV 2018 Workshop: In Situ Infrastructures for Enabling Extreme-Scale Analysis and Visualization

Monday, November 12, 3:30-4:25PM, Room D168

Advances in computational fluid dynamics (CFD) and high-performance computing (HPC) have allowed an amazing increase in model fidelity. For CFD practitioners, these new capabilities present challenges with the analysis of highly unsteady flows of ever-increasing complexity. Simultaneous advances in data science offer promising techniques for resolving these issues that are just starting to be applied to CFD post-processing and knowledge extraction workflows.

ISAV 2018: In Situ Infrastructures for Enabling Extreme-Scale Analysis and Visualization

Session: Monday, November 12, 9:00-5:30PM Room D168

The considerable interest in the HPC community regarding in situ analysis and visualization is due to several factors. First is an I/O cost savings, where data is analyzed and visualized while being generated, without first storing to a file system. Second is the potential for increased accuracy, where fine temporal sampling of transient analysis might expose some complex behavior missed in coarse temporal sampling. Third is the ability to use all available resources, CPU's and accelerators, in the computation of analysis products.

The workshop brings together researchers, developers and practitioners from industry, academia and government laboratories developing, applying and deploying in situ methods in extreme-scale, high-performance computing. 

Data from Juan D. Colmenares, Svetlana Poroseva, Yulia T. Peet, and Scott M. Murman. "Analysis of uncertainty sources in DNS of a turbulent mixing layer using Nek5000", 2018 Fluid Dynamics Conference, AIAA AVIATION Forum, (AIAA 2018-3226). Simulations were performed on the Pleiades Computer system at NASA Ames Research Center. Images created by Intelligent Light.

Tutorial: SENSEI Cross-Platform View of In Situ Analytics
Presenters: E. Wes Bethel, David Thompson, Burlen Loring, Silvio Rizzi, Brad Whitlock, Matthew Wolf, Patrick O'Leary

Sunday, November 11, 1:30-5:00PM Room C147

This tutorial covers the design and use of SENSEI, a platform for in situ visualization and analysis. Attendees will learn the basics of in situ analysis and visualization — which eliminates the need for writing large simulation state files or other data that prevents scaling to large machines — while being exposed to advanced analysis such as autocorrelation, interactive monitoring and computational steering.

Image courtesy of Michael Brazell and Prof. Dimitri Mavriplis, University of Wyoming

Spend time with our experts:

Come by Booth #826 or request a meeting, to learn and explore how we can help you advance your CFD.

In-booth presentation: Data Science Meets CFD, Steve Legensky

Tuesday, 4:00PM in Booth #826, followed by reception including beer and hors d'oeuvres

Continue reading
  0 Comments
0 Comments

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.​"
Continue reading
  0 Comments
0 Comments

VisIt Prime training at Tokyo University of Science

Intelligent Light delivered a customized training session on the use and deployment of VisIt Prime, our new software and service package, at Tokyo University of Science. We have hardened and enhanced VisIt and now offer professional support from our global support team. The training - given by Brad Whitlock, a primary VisIt developer, and supported by Atsushi Toyoda, Ph. D. from our Asia Pacific Technical Office - introduced open source VisIt as a general purpose parallel visualization tool and VisIt Prime as the supported version from Intelligent Light. VisIt and VisIt Prime are supported by Intelligent Light, bringing our thirty years of experience in professional software delivery and support to the VisIt community.

To request more information about such training in Japan, please email Dr. Atsushi Toyoda from our Asia Pacific Technical Office

Continue reading
  0 Comments
0 Comments

VisIt Prime training seminar at Tokyo University of Science

Intelligent Light will deliver a customized training session for the use and deployment of VisIt Prime, our new software and service package. We have been at work hardening and developing VisIt to become a useful and reliable engineering tool with top notch commercial support. Leading CFD customers in Japan will receive training from Brad Whitlock, a primary VisIt developer. Mr. Whitlock offers his expertise in the use of in situ processing for HPC environments and educate trainees in the use of both VisIt and Libsim for in situ processing.

Event details:
31 August, 2016, 10:00
Tokyo University of Science, Katsushika campus (6-3-1 Shinjuku, Katsushika-ku, Tokyo)

To request more information, please email Atsushi Toyoda from our Asia Pacific Technical Office

Intelligent Ligh(弊社)の新製品・サービスであるVisIt Primeのセミナーを開催いたします。弊社ではオープンソースのVisItが業務レベルで使用できるよう、改良およびサポート体制を整えて参りました。本セミナーではVisItの著者であるBrad Whilockが講師として、HPC環境において可視化プロセスがソルバーメモリに直接アクセスするin situのご説明とVisItとLibsimを用いたin situ化のご説明をハンズオントレーニングを含めて行わせて頂きます。

日時
2016年8月31日
東京理科大学葛飾キャンパス
お問い合わせ先

Intelligent Light, アジア太平洋技術オフィス 豊田
at@ilight.com

Continue reading
  0 Comments
0 Comments