Remote runtime steering of integrated terascale simulation and visualization

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) sol...

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Bibliographic Details
Published in:Conference on High Performance Networking and Computing: Proceedings of the 2006 ACM/IEEE conference on Supercomputing; 11-17 Nov. 2006 pp. 297 - 297-es
Main Authors: Tu, Tiankai, Yu, Hongfeng, Bielak, Jacobo, Ghattas, Omar, Lopez, Julio C., Ma, Kwan-Liu, O'Hallaron, David R., Ramirez-Guzman, Leonardo, Stone, Nathan, Taborda-Rios, Ricardo, Urbanic, John
Format: Conference Proceeding
Language:English
Published: New York, NY, USA ACM 11.11.2006
Series:ACM Conferences
Subjects:
Computer systems organization > Architectures > Distributed architectures > Grid computing
Computer systems organization > Architectures > Parallel architectures > Multicore architectures
Computer systems organization > Architectures > Serial architectures > Superscalar architectures
Computing methodologies > Modeling and simulation > Simulation types and techniques > Massively parallel and high-performance simulations
Computing methodologies > Parallel computing methodologies > Parallel programming languages
Mathematics of computing > Mathematical analysis > Differential equations > Partial differential equations
Software and its engineering > Software notations and tools > General programming languages > Language types > Parallel programming languages
Software and its engineering > Software organization and properties > Software system structures > Distributed systems organizing principles > Grid computing
ISBN:0769527000, 9780769527000
Online Access:Get full text
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Summary: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.
Bibliography:SourceType-Conference Papers & Proceedings-1
ObjectType-Conference Paper-1
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ISBN:0769527000
9780769527000
DOI:10.1145/1188455.1188767