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Remote runtime steering of integrated terascale simulation and visualization
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Source Conference on High Performance Networking and Computing archive
Proceedings of the 2006 ACM/IEEE conference on Supercomputing table of contents
Tampa, Florida
SESSION: HPC analytics challenge table of contents
Article No. 297  
Year of Publication: 2006
ISBN:0-7695-2700-0
Authors
Sponsors
IEEE : Institute of Electrical and Electronics Engineers
ACM: Association for Computing Machinery
Publisher
ACM  New York, NY, USA
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ABSTRACT

We have developed a novel analytic capability for scientists and engineers to obtain insight from ongoing large-scale parallel unstructured mesh simulations running on thousands of processors. The breakthrough is made possible by a new approach that visualizes partial differential equation (PDE) solution data simultaneously while a parallel PDE solver executes. The solution field is pipelined directly to volume rendering, which is computed in parallel using the same processors that solve the PDE equations. Because our approach avoids the bottlenecks associated with transferring and storing large volumes of output data, it offers a promising approach to overcoming the challenges of visualization of petascale simulations. The submitted video demonstrates real-time on-the-fly monitoring, interpreting, and steering from a remote laptop computer of a 1024-processor simulation of the 1994 Northridge earthquake in Southern California.


Collaborative Colleagues:
Tiankai Tu: colleagues
Hongfeng Yu: colleagues
Jacobo Bielak: colleagues
Omar Ghattas: colleagues
Julio C. Lopez: colleagues
Kwan-Liu Ma: colleagues
David R. O'Hallaron: colleagues
Leonardo Ramirez-Guzman: colleagues
Nathan Stone: colleagues
Ricardo Taborda-Rios: colleagues
John Urbanic: colleagues