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.
VisIt Users and Developers Reception
Please join us on Sunday, November 11, 6:00 to 9:00 PM to meet members of the VisIt development team and fellow users of VisIt and Libsim. Wine, beer and food will be served. There will be two presentations:
– 7:00PM – Eric Brugger of LLNL will preview the upcoming VisIt 3.0
– 7:30PM – Brad Whitlock of Intelligent Light will update you on VisIt Prime, SENSEI and in situ
Dallas Marriott City Center
650 North Pearl Street
Dallas, Texas 75201
In the Normandy Room.
We are expecting a good crowd so please RSVP
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.
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.