Massively parallel volume rendering using 2-3 swap image compositing
Proceedings of the 2008 ACM/IEEE conference on Supercomputing
High end scientific codes with computational I/O pipelines: improving their end-to-end performance
Proceedings of the 2nd international workshop on Petascal data analytics: challenges and opportunities
Combining in-situ and in-transit processing to enable extreme-scale scientific analysis
SC '12 Proceedings of the International Conference on High Performance Computing, Networking, Storage and Analysis
Scalable in situ scientific data encoding for analytical query processing
Proceedings of the 22nd international symposium on High-performance parallel and distributed computing
A Maya use case: adaptable scientific workflows with ADIOS for general relativistic astrophysics
Proceedings of the Conference on Extreme Science and Engineering Discovery Environment: Gateway to Discovery
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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.