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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:

One of the primary challenges to achieving exascale computing is designing new architectures that will work under the enormous power and cost constraints. The mission of co-design is to absorb the sweeping changes necessary for exascale computing into software and to ensure that the hardware will meet the requirements to perform extreme scale applications. This session focuses on multi-disciplinary research required to co-design all aspects of simulation including numerical algorithms for PDE's, domain specific programming languages, asynchronous programming environments, and scientific data management and analytics for in situ uncertainty quantification (UQ).

One of the primary challenges to achieving exascale computing is designing new architectures that will work under the enormous power and cost constraints. The mission of co-design is to absorb the sweeping changes necessary for exascale computing into software and to ensure that the hardware will meet the requirements to perform extreme scale applications. This session focuses on multi-disciplinary research required to co-design all aspects of simulation including numerical algorithms for PDE's, domain specific programming languages, asynchronous programming environments, and scientific data management and analytics for in situ uncertainty quantification (UQ).

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Topics:
HPC and AI
Type:
Talk
Event:
GTC Washington D.C.
Year:
2016
Session ID:
DCS16114
Streaming:
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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 AI
Type:
Panel
Event:
GTC Washington D.C.
Year:
2016
Session ID:
DCS16173
Streaming:
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