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Abstract:
AWS offers the most powerful GPU-accelerated cloud infrastructure that delivers unparalleled computational efficiency for advanced engineering simulations and analysis, enabling High Performance Computing (HPC) workloads to run in the cloud at scale. This session features a real-world use case from the advanced product engineering team at Western Digital, who is using HPC solutions to model new technologies and capabilities prior to production. Western Digital's computational tools incorporate the description of physics occurring during the HDD recording process and ultimately result in input to a recording sub system channel model which produces an Error Rate. The length scales involved in the recording model range from a few nanometers in the description of the recording media to microns in the description of the recording head. The power of the current generation of NVIDIA GPUs allows Western Digital to generate enough simulation data so that the same recording sub system channel model, used in experiments, can be employed in studies that include fabrication processes variances. 
AWS offers the most powerful GPU-accelerated cloud infrastructure that delivers unparalleled computational efficiency for advanced engineering simulations and analysis, enabling High Performance Computing (HPC) workloads to run in the cloud at scale. This session features a real-world use case from the advanced product engineering team at Western Digital, who is using HPC solutions to model new technologies and capabilities prior to production. Western Digital's computational tools incorporate the description of physics occurring during the HDD recording process and ultimately result in input to a recording sub system channel model which produces an Error Rate. The length scales involved in the recording model range from a few nanometers in the description of the recording media to microns in the description of the recording head. The power of the current generation of NVIDIA GPUs allows Western Digital to generate enough simulation data so that the same recording sub system channel model, used in experiments, can be employed in studies that include fabrication processes variances.   Back
 
Topics:
Computational Physics, HPC and AI
Type:
Talk
Event:
GTC Silicon Valley
Year:
2018
Session ID:
S81041
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Abstract:

The use of HPC Cloud Computing environments continues to accelerate with the advent of higher performing infrastructures and capabilities. In this presentation, AWS and HGST will provide a view into specific use cases that highlight how HPC and GPU Cloud Computing is being used as a competitive advantage with CAD/CAM and electronic design automation (EDA), with the ability to spin up clusters running HPC applications. Real-world manufacturing use cases will be discussed.

The use of HPC Cloud Computing environments continues to accelerate with the advent of higher performing infrastructures and capabilities. In this presentation, AWS and HGST will provide a view into specific use cases that highlight how HPC and GPU Cloud Computing is being used as a competitive advantage with CAD/CAM and electronic design automation (EDA), with the ability to spin up clusters running HPC applications. Real-world manufacturing use cases will be discussed.

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Topics:
GPU Virtualization, Digital Manufacturing, Graphics and AI
Type:
Talk
Event:
GTC Silicon Valley
Year:
2014
Session ID:
S4844
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