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GTC ON-DEMAND

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Abstract:

High Performance Computing (HPC) has been a cornerstone of scientific discovery from Dr. Ken Wilson's Nobel Prize in Physics in 1982 to the breaking of the Capsid Code for the HIV virus his past year. EXAscale Computing, which follows the progression from TERAscale and PETAscale marks the next milestone in the evolution of HPC that will allow the scientific community to continue its dynamic pace of discovery and innovation. 

High Performance Computing (HPC) has been a cornerstone of scientific discovery from Dr. Ken Wilson's Nobel Prize in Physics in 1982 to the breaking of the Capsid Code for the HIV virus his past year. EXAscale Computing, which follows the progression from TERAscale and PETAscale marks the next milestone in the evolution of HPC that will allow the scientific community to continue its dynamic pace of discovery and innovation. 

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Topics:
HPC and Supercomputing
Type:
Panel
Event:
SIGGRAPH Asia
Year:
2016
Session ID:
SC6113
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Abstract:

The highly nonlinear, multiscale dynamics of large earthquakes is a difficult physics problem that challenges HPC systems at extreme computational scales. This presentation will summarize how earthquake simulations at increasing levels of scale and sophistication have contributed to our understanding of seismic phenomena, focusing on the practical use of simulations to reduce seismic risk and enhance community resilience. Full realization of the projected gains in forecasting probability will require enhanced computational capabilities, but it could have a broad impact on risk-reduction strategies, especially for critical facilities such as large dams, nuclear power plants, and energy transportation networks. 

The highly nonlinear, multiscale dynamics of large earthquakes is a difficult physics problem that challenges HPC systems at extreme computational scales. This presentation will summarize how earthquake simulations at increasing levels of scale and sophistication have contributed to our understanding of seismic phenomena, focusing on the practical use of simulations to reduce seismic risk and enhance community resilience. Full realization of the projected gains in forecasting probability will require enhanced computational capabilities, but it could have a broad impact on risk-reduction strategies, especially for critical facilities such as large dams, nuclear power plants, and energy transportation networks. 

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Topics:
HPC and Supercomputing, Computational Physics
Type:
Talk
Event:
Supercomputing
Year:
2016
Session ID:
SC6106
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