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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| 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 |
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| Main Authors: | , , , , , , , , , , |
| Format: | Conference Proceeding |
| Language: | English |
| Published: |
New York, NY, USA
ACM
11.11.2006
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| Series: | ACM Conferences |
| Subjects: |
Computing methodologies
> Modeling and simulation
> Simulation types and techniques
> Massively parallel and high-performance simulations
Mathematics of computing
> Mathematical analysis
> Differential equations
> Partial differential equations
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| ISBN: | 0769527000, 9780769527000 |
| Online Access: | Get full text |
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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. |
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| AbstractList | 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. |
| Author | O'Hallaron, David R. Ramirez-Guzman, Leonardo Yu, Hongfeng Ma, Kwan-Liu Stone, Nathan Tu, Tiankai Ghattas, Omar Lopez, Julio C. Bielak, Jacobo Taborda-Rios, Ricardo Urbanic, John |
| Author_xml | – sequence: 1 givenname: Tiankai surname: Tu fullname: Tu, Tiankai – sequence: 2 givenname: Hongfeng surname: Yu fullname: Yu, Hongfeng – sequence: 3 givenname: Jacobo surname: Bielak fullname: Bielak, Jacobo – sequence: 4 givenname: Omar surname: Ghattas fullname: Ghattas, Omar – sequence: 5 givenname: Julio C. surname: Lopez fullname: Lopez, Julio C. – sequence: 6 givenname: Kwan-Liu surname: Ma fullname: Ma, Kwan-Liu – sequence: 7 givenname: David R. surname: O'Hallaron fullname: O'Hallaron, David R. – sequence: 8 givenname: Leonardo surname: Ramirez-Guzman fullname: Ramirez-Guzman, Leonardo – sequence: 9 givenname: Nathan surname: Stone fullname: Stone, Nathan – sequence: 10 givenname: Ricardo surname: Taborda-Rios fullname: Taborda-Rios, Ricardo – sequence: 11 givenname: John surname: Urbanic fullname: Urbanic, John |
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| SubjectTerms | 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 |
| Title | Remote runtime steering of integrated terascale simulation and visualization |
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