Intelligent Light and FieldView

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

Data Science for CFD with FieldView Analytics