GTC ON-DEMAND

 
SEARCH SESSIONS
SEARCH SESSIONS

Search All
 
Refine Results:
 
Year(s)

SOCIAL MEDIA

EMAIL SUBSCRIPTION

 
 

GTC ON-DEMAND

Presentation
Media
Abstract:
We'll cover a novel application of the recently developed state-of-art modeling framework to integrate in-situ visualization and data analysis approach with a model coupling framework. The modeling framework uses NVIDIA IndeX to get more insight about the vast amount of data through in-situ visualizations. Enabling analysis of fast-moving processes and their evolution in both time and space support better understanding of underplaying physical mechanisms. The designed system also provides scalable, real-time visualization and computing of multi-valued volumetric data by integrating Earth System Modeling Framework (ESMF) and NVIDIA IndeX to create easy-to-use, efficient, generic, and standardized modeling environment for earth system science applications.
We'll cover a novel application of the recently developed state-of-art modeling framework to integrate in-situ visualization and data analysis approach with a model coupling framework. The modeling framework uses NVIDIA IndeX to get more insight about the vast amount of data through in-situ visualizations. Enabling analysis of fast-moving processes and their evolution in both time and space support better understanding of underplaying physical mechanisms. The designed system also provides scalable, real-time visualization and computing of multi-valued volumetric data by integrating Earth System Modeling Framework (ESMF) and NVIDIA IndeX to create easy-to-use, efficient, generic, and standardized modeling environment for earth system science applications.  Back
 
Topics:
In-Situ & Scientific Visualization
Type:
Talk
Event:
GTC Silicon Valley
Year:
2018
Session ID:
S8689
Streaming:
Download:
Share:
 
Speakers:
,
Abstract:

ICON, the ICOsahedral Non-hydrostaic model that is jointly developed by the Max Planck Institute for Meteorology (MPI-M) and the German Weather Service (DWD), was recently extended to permit large eddy simulations at cloud resolving scales as part of the HD(CP)² project.   It aims to foster the knowledges and understanding of clouds through direct simulation. The data generated by this project easily exceeds the capabilities of current single node visualization systems, therefore new strategies are required to visualize and understand the data. This presentation discusses ICON and HD(CP)² data from a scientific and a technical perspective, and showcases some of our findings using a live demonstration with the NVIDIA IndeX visualization framework. 

ICON, the ICOsahedral Non-hydrostaic model that is jointly developed by the Max Planck Institute for Meteorology (MPI-M) and the German Weather Service (DWD), was recently extended to permit large eddy simulations at cloud resolving scales as part of the HD(CP)² project.   It aims to foster the knowledges and understanding of clouds through direct simulation. The data generated by this project easily exceeds the capabilities of current single node visualization systems, therefore new strategies are required to visualize and understand the data. This presentation discusses ICON and HD(CP)² data from a scientific and a technical perspective, and showcases some of our findings using a live demonstration with the NVIDIA IndeX visualization framework. 

  Back
 
Topics:
Big Data Analytics, Big Data Analytics, Climate, Weather & Ocean Modeling
Type:
Talk
Event:
GTC Europe
Year:
2016
Session ID:
SEU6171
Download:
Share:
 
Abstract:

A technical overview about NVIDIA IndeX as an in-situ technology will be presented. In addition, we describe an interactive workflow between compute and graphic cycles within NVIDIA IndeX. A real-time live demo on the NVIDIA VCA cluster using more than 1 TB of scientific data is underlining the power of the in-situ technology.

A technical overview about NVIDIA IndeX as an in-situ technology will be presented. In addition, we describe an interactive workflow between compute and graphic cycles within NVIDIA IndeX. A real-time live demo on the NVIDIA VCA cluster using more than 1 TB of scientific data is underlining the power of the in-situ technology.

  Back
 
Topics:
Visualization - In-Situ & Scientific, Data Center & Cloud Infrastructure, GPU Virtualization
Type:
Talk
Event:
GTC Silicon Valley
Year:
2015
Session ID:
S5307
Streaming:
Share:
 
 
Previous
  • Amazon Web Services
  • IBM
  • Cisco
  • Dell EMC
  • Hewlett Packard Enterprise
  • Inspur
  • Lenovo
  • SenseTime
  • Supermicro Computers
  • Synnex
  • Autodesk
  • HP
  • Linear Technology
  • MSI Computer Corp.
  • OPTIS
  • PNY
  • SK Hynix
  • vmware
  • Abaco Systems
  • Acceleware Ltd.
  • ASUSTeK COMPUTER INC
  • Cray Inc.
  • Exxact Corporation
  • Flanders - Belgium
  • Google Cloud
  • HTC VIVE
  • Liqid
  • MapD
  • Penguin Computing
  • SAP
  • Sugon
  • Twitter
Next